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principal associate data scientist anti money laundering modeling and advanced data insights

Information Technology Senior Management Forum

<div><div>Posted Date
3/18/2026
</div><div>Description
<div>Principal Associate, Data Scientist - Anti-Money Laundering Modeling and Advanced Data Insights
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The Anti-Money Laundering (AML) Modeling and Advanced Data Insights team is on a journey to modernize the way Capital One identifies potential money laundering, fraud, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models. We develop predictive models, monitoring dashboards, and reporting using tools such as AWS, Snowflake, Python, and Spark. Our team produces the model outputs and data insights to operate our AML program efficiently and effectively. As the model developer for advancing transaction monitoring with machine learning, our team is responsible for end to end development, deployment, and monitoring of production models.
Role Description
In this role, you will:<ul><li>
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love</li><li>
Leverage a broad stack of technologies &mdash; Python, Conda, AWS, H2O, Spark, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data</li><li>
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals</li></ul>
The Ideal Candidate is:<ul><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li><li>
Statistically-minded. You&rsquo;ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics</li><li>
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)</li></ul></li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree in Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li><li>
At least 3 years&rsquo; experience in Python, Scala, or R</li><li>
At least 3 years&rsquo; experience with machine learning</li><li>
At least 3 years&rsquo; experience with SQL</li><li>
At least 1 year of experience working with AWS</li><li>
At least 1 year of experience with development of Generative AI models</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Chicago, IL: $147,100 - $167,900 for Princ Associate, Data Science 

McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science 

Richmond, VA: $147,100 - $167,900 for Princ Associate, Data Science 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Principal Associate, Data Scientist - Anti-Money Laundering Modeling and Advanced Data Insights
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The Anti-Money Laundering (AML) Modeling and Advanced Data Insights team is on a journey to modernize the way Capital One identifies potential money laundering, fraud, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models. We develop predictive models, monitoring dashboards, and reporting using tools such as AWS, Snowflake, Python, and Spark. Our team produces the model outputs and data insights to operate our AML program efficiently and effectively. As the model developer for advancing transaction monitoring with machine learning, our team is responsible for end to end development, deployment, and monitoring of production models.
Role Description
In this role, you will:<ul><li>
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love</li><li>
Leverage a broad stack of technologies &mdash; Python, Conda, AWS, H2O, Spark, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data</li><li>
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals</li></ul>
The Ideal Candidate is:<ul><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li><li>
Statistically-minded. You&rsquo;ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics</li><li>
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)</li></ul></li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree in Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li><li>
At least 3 years&rsquo; experience in Python, Scala, or R</li><li>
At least 3 years&rsquo; experience with machine learning</li><li>
At least 3 years&rsquo; experience with SQL</li><li>
At least 1 year of experience working with AWS</li><li>
At least 1 year of experience with development of Generative AI models</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Chicago, IL: $147,100 - $167,900 for Princ Associate, Data Science 

McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science 

Richmond, VA: $147,100 - $167,900 for Princ Associate, Data Science 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>
</div><div>Salary
147,100.00 - 167,900.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Principal Associate, Data Scientist - Anti-Money Laundering Modeling and Advanced Data Insights

Capital One

<div>Principal Associate, Data Scientist - Anti-Money Laundering Modeling and Advanced Data Insights
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The Anti-Money Laundering (AML) Modeling and Advanced Data Insights team is on a journey to modernize the way Capital One identifies potential money laundering, fraud, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models. We develop predictive models, monitoring dashboards, and reporting using tools such as AWS, Snowflake, Python, and Spark. Our team produces the model outputs and data insights to operate our AML program efficiently and effectively. As the model developer for advancing transaction monitoring with machine learning, our team is responsible for end to end development, deployment, and monitoring of production models.
Role Description
In this role, you will:<ul><li>
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love</li><li>
Leverage a broad stack of technologies &mdash; Python, Conda, AWS, H2O, Spark, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data</li><li>
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals</li></ul>
The Ideal Candidate is:<ul><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li><li>
Statistically-minded. You&rsquo;ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics</li><li>
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)</li></ul></li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree in Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li><li>
At least 3 years&rsquo; experience in Python, Scala, or R</li><li>
At least 3 years&rsquo; experience with machine learning</li><li>
At least 3 years&rsquo; experience with SQL</li><li>
At least 1 year of experience working with AWS</li><li>
At least 1 year of experience with development of Generative AI models</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Chicago, IL: $147,100 - $167,900 for Princ Associate, Data Science 

McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science 

Richmond, VA: $147,100 - $167,900 for Princ Associate, Data Science 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Credera

<div><div>Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, AI and technology expertise to deliver valuable customer experiences and accelerated growth across various industries. We continuously evolve our services to meet the needs of future organizations and reflect modern best practices. Our unique global approach provides tailored solutions, transforming the most influential brands and organizations worldwide.

Our employees, the lifeblood of our company, are passionate about making an extraordinary impact on our clients, colleagues, and communities. This passion drives how we spend our time, resources, and talents. Our commitment to our people and work has been recognized globally. Please visit our employer awards page: https://www.credera.com/awards-and-recognition.</div>
We are looking for an enthusiastic Senior GenAI and LLM Architect to add to Credera's Data capability group. Our ideal candidate is excited about leading project-based teams in a client facing role to analyze large data sets to derive insights through machine learning (ML) and artificial intelligence (AI) techniques. They have strong experience in data preparation and analysis using a variety of tools and programming techniques, building and implementing models, and creating and running simulations. The Senior Architect should be familiar with the deployment of enterprise scale models into a production environment; this includes leveraging full development lifecycle best practices for both cloud and on-prem solutions across a variety of use cases.

You will act as the primary architect and technical lead on projects to scope and estimate work streams, architect and model technical solutions to meet business requirements and serve as a technical expert in client communications. On a typical day, you might expect to participate in design sessions, provision environments, and coach and lead junior resources on projects.

WHO YOU ARE:
<ul>
<li>8+ years of proven experience in the architecture, design, and implementation of large scale and enterprise grade AI/ML solutions, including hands-on statistical modeling and/or analytical experience in and industry or consulting setting</li>
<li>Master's degree in statistics, mathematics, computer science or related field (a PhD is preferred)</li>
<li>Experience with a variety of ML and AI techniques (e.g. multivariate/logistic regression models, cluster analysis, predictive modeling, neural networks, deep learning, pricing models, decision trees, ensemble methods, etc.)</li>
<li>Proficiency in programming languages such as Python, TensorFlow, PyTorch, or Hugging Face Transformers for model development and experimentation</li>
<li>Strong understanding of NLP fundamentals, including tokenization, word embeddings, language modeling, sequence labeling, and text generation</li>
<li>Experience with data processing using LangChain, data embedding using LLMs, Vector databases and prompt engineering</li>
<li>Advanced knowledge of relational and non-relational databases (SQL, NoSQL)</li>
<li>Proficient in large-scale distributed systems (Hadoop, Spark, etc.)</li>
<li>Experience with designing and presenting compelling insights using visualization tools (RShiny, R, Python, Tableau, Power BI, D3.js, etc.)</li>
<li>Passion for leading teams and providing both formal and informal mentorship</li>
<li>Experience with wrangling, exploring, transforming, and analyzing datasets of varying size and complexity</li>
<li>Knowledgeable of tools and processes to monitor model performance and data quality, including model tuning experience</li>
<li>Strong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical level</li>
<li>Stay current with AI/ML trends and research; be a thought leader in AI area</li>
<li>Experience with implementing machine learning models in production environments through one or more cloud platforms:</li>
<li><ul><li>Google Cloud Platform</li>
<li>Azure cloud services</li>
<li>AWS cloud services</li>
</ul></li>
</ul>Basic Qualifications
<ul>
<li>Thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success</li>
<li>Contribute in a team-oriented environment</li>
<li>Prioritize multiple tasks in order to consistently meet deadlines</li>
<li>Creatively solve problems in an analytical environment</li>
<li>Adapt to new environments, people, technologies and processes</li>
<li>Excel in leadership, communication, and interpersonal skills</li>
<li>Establish strong work relationships with clients and team members</li>
<li>Generate ideas and understand different points of view</li>
</ul><div>
Learn More: Credera is part of Omnicom Precision Marketing that delivers transformative solutions rooted in data, technology, and AI. Omnicom Precision Marketing delivers precisely targeted and meaningful customer experiences at scale. Using its universal framework of connected data, connected intelligence and connected experiences, OPM provides services that include data-driven product / service design, technology strategy and implementation, CRM / loyalty strategy and activation, econometric and attribution modelling, technical and business consulting and digital experience design and development.
Compensation: The salary range listed is provided for informational purposes only. Credera treats all applicants as individuals, considering, but not limited to, their professional and academic experience, specialized training, certifications, and associated responsibilities as they relate to our specific industry. The salary range listed is just one component of our total compensation package for each unique employee.

We believe in recognizing and rewarding contributions at every level. While senior-level employees are eligible for a variable component as part of their compensation package, we are committed to supporting the growth and development of all team members. As employees progress in their careers, everyone will have opportunities to take on new responsibilities and become eligible for additional rewards. We strive to create an environment where everyone is empowered to succeed and advance.

Benefits: Credera provides a competitive salary and a comprehensive benefits plan. Benefits include health, mental health, vision, dental, and life insurance, prescriptions, fertility and adoption benefits, community service days, paid parental leave, PTO, 14 paid holidays, matching 401(k), Healthcare &amp; Dependent Flexible Spending Accounts, and disability benefits. For more information regarding Omnicom benefits, please visit www.omnicombenefits.com.

Hybrid Working Model: Our employees have the flexibility to work remotely two days a week. We expect team members to spend three days in person, with the freedom to choose the days and times that best suit them, their project, and their teams. You'll collaborate with your project team to balance flexibility with the benefits of in-person connection, delivering outstanding results for our clients. The Why: In-person engagement is essential for building strong relationships with clients and colleagues. It fosters trust, encourages learning, and helps us grow as consultants and professionals.

Travel: For our consulting roles, our goal is to minimize travel, and most projects do not require extensive travel. While some projects may involve up to 80% travel for a period, the annual average for team members is typically 10%&ndash;30%. We take a personal approach to travel by considering your submitted preferences when assigning roles.

Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Credera will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT, or any other employment-based visa). 

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity, sexual orientation, national origin, age, genetic information, veteran status, or disability.

Credera will never ask for money up front and will not use apps such as Facebook Messenger, WhatsApp or Google Hangouts for communicating with you. You should be very wary of, and carefully scrutinize, any job opportunity that asks for money prior to starting and/or one where all communications take place exclusively via chat.</div></div>

Senior Architect, Data and GenAI

Full time
 Senior Analyst, Market Risk-Refining Products Trading
 United States of America, Illinois, Chicago 2 days ago
 
Job category
 Finance
 Experience level
 Intermediate
 Relocation available
 This role is not eligible for relocation
 Job type
 Professionals
 Travel required
 Negligible travel should be expected with this role
 Job code
 RQ107240
 Job Description
 
EMPLOYER: BP America Inc.
 
JOB LOCATION: 30 S Wacker Dr, Chicago IL 60606 (May work from home on a hybrid schedule within 50 miles of worksite (Chicago IL))
 
OFFERED SALARY: $142,210 - $150,000 per year
 
(Please note the pay range listed for this position is a good faith and reasonable estimate of the base pay range for this position at the time of posting. You may learn more about our generous benefits at Explore Our Benefits https://exploreyourbenefits.com/landing.html)
 
JOB DUTIES: 
Independently oversee and critically assess trading strategies across a diverse range of energy commodities and environmental credits, ensuring adherence to internal Market Risk Standards, risk policies, and Delegation of Authority.
 
Design, implement, and continuously refine sophisticated quantitative market risk models and quantitative analytics, including VaR, Monte Carlo simulations, sensitivity analyses, and scenario modeling, and machine learning algorithms, leveraging advanced SQL, Python, VBA, and Power BI capabilities to enhance forecasting accuracy and actionable risk insights.
 
Collaborate closely with traders and originators to develop tailored trading analytics, employing robust statistical methods, predictive modeling, and data-driven market insights to proactively identify trading opportunities and enhance commercial decision-making.
 
Systematically analyze and quantify trading positions and market exposures, using advanced volatility analytics, forecasting tools, and scenario-based stress tests to deliver comprehensive portfolio risk assessments that directly inform strategic trading initiatives.
 
Perform rigorous independent validation and sophisticated financial modeling of structured commodity contracts and origination deals, ing detailed quantitative valuation techniques, price verification, and sensitivity assessments to ensure commercial accuracy and appropriate risk provisioning.
 
Actively partner with Front Office teams, providing thoughtful challenges, commercially focused risk insights, and strategic guidance informed by detailed quantitative analytics, enabling optimal risk-return outcomes and driving incremental trading value.
 
Utilize advanced quantitative skills in derivatives including futures, swaps, options, and Greeks to assess and manage portfolio convexity, volatility, and strategic exposures, ensuring robust risk management across multiple commodity trading books.
 
Drive quantitative innovation and process improvement by automating risk reporting and analytics through bespoke dashboards and tools integrated within industry-leading ETRM platforms, significantly enhancing efficiency, transparency, and strategic decision-making capabilities.
 
Mentor and develop junior analysts and interns, strengthening their quantitative skills, analytical rigor, and commercial acumen to promote a proactive, data-driven, and commercially focused risk management culture.
 
Regularly communicate complex quantitative analyses and risk insights clearly to senior management and risk governance committees, actively influencing risk appetite decisions, strategic policies, and the development of quantitative frameworks to support ongoing business growth and innovation. May work from home on a hybrid schedule within 50 miles of worksite (Chicago IL).
 
MINIMUM REQUIREMENTS: 
Bachelor’s degree or foreign equivalent in Economics, Financial Mathematics, Data Science, Computer Science, or a closely related quantitative field plus four (4) years of experience with the application of advanced financial modeling; valuation methodologies; and quantitative analytics including DCF, benchmarking, and scenario analysis to evaluate the financial and operational impacts of complex transactions under varying economic and market conditions for clients from various sectors including consumer goods, energy, and manufacturing.
 
Experience to include standardizing analytical processes; strengthening data governance; and aligning work products with applicable regulatory requirements and documentation standards to ensure accuracy, transparency, and consistency.
 
SPECIAL REQUIREMENTS
 
Requirements: Under 5% domestic and international travel required.
 
Legal Disclaimer: 
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.
 
If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.
 Our innovative Energize recognition points programme and spot awards translate exceptional performance into tangible rewards, to motivate our high performers.
 
Pay
 
bp offers competitive pay in line with industry standards, making us an employer of choice.
 
Discretionary bonus
 
We offer discretionary bonuses to reward strong company, business unit and individual performance, and recognition awards, including those related to long service to recognize commitment to the company.
 
Retirement & savings
 
We offer a range of discretionary retirement and savings plans to help provide you and your family with financial security.
 
Insurance benefits
 
To give you additional peace of mind, bp provides valuable insurance benefits in some countries. These are designed to provide financial assistance to employees and their families if employees become unwell or die in service.
 
Equity
 
Depending on your location and job level, there may be equity (stock and share) options you are eligible to join so you can be part of bp’s success.

Senior Analyst, Market Risk-Refining Products Trading

Ørsted

<div><div>Application deadline
</div><div></div><div>Country
United States
</div><div>Location
Chicago
</div><div>Working hours
</div><div>Employment type
</div><div>Legal entity
Orsted North America Inc</div></div>
 <div>Why join?
<div><div>Fully paid medical premium</div>
</div><div><div>Generous parental leave package</div>
</div><div><div>Numerous opportunities for growth and development</div>
</div><div><div>Attractive offer of paid vacations annually</div></div></div>
 <div></div><div>Employer: &Oslash;rsted North America Inc.
Job Title: Market Analytics Analyst
Salary: $112,804 per year + Benefits (https://us.orsted.com/careers/united-states)
Locations: 401 N. Michigan Avenue, Suite 501, Chicago, IL 60611
Duties:<ul><li>
Establish and manage projects focused on research, market model development, and technology deployment to deliver critical insights for decision-makers across the commercial timeline for storage, wind, and solar assets.</li><li>
Develop analytical tools to support the region&rsquo;s storage ambitions while also providing insights into key market components influencing the development of battery energy storage systems (BESS).</li><li>
Develop and refine BESS optimization frameworks, integrating cross-functional insights into battery trading strategies to maximize commercial value.</li><li>
Provide strategic investment guidance and portfolio capacity recommendations based on forward-looking storage analytics.</li><li>
Develop forecasting models for storage performance by incorporating evolving market trends, operational constraints, and pricing scenarios.</li><li>
Incorporate modeling techniques to advise on option value pricing for solar and wind power purchase agreements (PPA).</li><li>
Design and implement models to assess the diversification and risk hedging impact of new and existing assets in the portfolio.</li><li>
Build expertise in fundamental market drivers, pricing dynamics across power and lithium markets, and key trading strategies.</li><li>
Develop and implement new analytical models and tools across commercial and trading/operations environments.</li><li>
Oversee the creation and operation of dashboards tracking real-time and historical generation-weighted pricing metrics and BESS spread performance for both operating and pipeline assets.</li><li>
Partner with technical and business stakeholders to resolve complex data issues and ensure continuity of analytical workflows.</li></ul>
Requirements:<ul><li>
Master&rsquo;s degree (or foreign equivalent) in data science, statistics, mathematics, computer science, or related field.</li></ul><ul><li>
Requires knowledge of SQL, Python, and R; predictive modeling; and time series forecasting.</li></ul><ul><li>
Requires experience in conducting feasibility studies; financial analysis; establishing market strategies; optimization techniques (linear and nonlinear programming); advanced analytical methods for forecasting revenue; developing and implementing statistical algorithms, including market simulation; and developing and deploying dashboards, market models, analytical tools, and optimization frameworks to evaluate market dynamics and asset development.</li></ul>
Apply: https://us.orsted.com/careers.</div>

Market Analytics Analyst

<div></div><div><div><div><div><ul><div>1 Opening</div>
 <div>Chicago</div></ul></div><div> 
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader">Role description</h3>
<div>Data Scientist (Python Developer)

Associate I - Data Science 


Who We Are:

Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.

UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.

With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.

Visit us at UST.com. 


You Are:

The Data Scientist (Entry Level) will work as a team member on managed outcome- and capacity-based data analytics and data science initiatives, including projects, Proof of Concepts (POCs), and Minimum Viable Products (MVPs). 


The opportunity:
<ul><li> Data Science &amp; Analytics
</li></ul><ul><li> Delivery Participate as a team member in data analytics and data science projects, including managed outcome and capacity-based engagements.
</li></ul><ul><li> Support the development and execution of POCs and MVPs to validate analytical approaches, models, and hypotheses. Assist in translating business and scientific problems into data-driven analytical solutions under supervision. Perform data exploration, data preparation, and feature engineering to support analytics and modeling activities.</li></ul>
<ul><li> Development &amp; Implementation
</li></ul><ul><li> Develop and maintain analytical scripts, models, and workflows using Python and relevant data science libraries. Implement statistical, machine learning, or analytical techniques as guided by senior data scientists or architects.
</li></ul><ul><li> Support model testing, validation, and refinement to ensure accuracy and reliability of outputs. Contribute to code reviews, documentation, and version-controlled development practices.</li></ul>
<ul><li> Collaboration &amp; Stakeholder
</li></ul><ul><li> Support Work closely with senior data scientists, data engineers, and cross functional delivery teams. Participate in team discussions, sprint ceremonies, and knowledge sharing sessions. Support communication of analytical findings through clear documentation, visualizations, and presentations as needed.</li></ul>
<ul><li> Learning &amp; Continuous Improvement</li></ul>
<ul><li> Learn and apply industry best practices in data science, analytics, and responsible data usage. Stay current with emerging tools, frameworks, and techniques relevant to data science and analytics. Actively seek feedback and mentorship to improve technical and professional capabilities.</li></ul> 


This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required. 
What you need:
<ul><li> Strong foundational knowledge of Python for data analysis and development
</li></ul><ul><li> Familiarity with Python libraries such as Pandas, NumPy, Matplotlib/ Seaborn, Scikit-learn Understanding of basic statistics, probability, and data analysis concepts
</li></ul><ul><li> Exposure to data wrangling, exploratory data analysis (EDA), and data visualization
</li></ul><ul><li> Basic understanding of machine learning concepts (supervised and unsupervised learning)</li></ul>
<ul><li> Technical Skills (Good to Have)</li></ul>
<ul><li> Exposure to Jupyter Notebooks or similar analytical environments
</li></ul><ul><li> Familiarity with SQL or basic database querying concepts
</li></ul><ul><li> Awareness of cloud-based analytics or data platforms (AWS, Azure, GCP - conceptual level)
</li></ul><ul><li> Exposure to version control systems such as Git
</li></ul><ul><li> Basic knowledge of data pipelines or data engineering concepts</li></ul>
<ul><li> Educational Qualifications:</li></ul>
<ul><li> Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field Relevant academic projects, internships, or certifications in data science or analytics are a plus</li></ul>
<ul><li> Experience:</li></ul>
<ul><li> 0-2 years of experience in data science, analytics, or related roles
</li></ul><ul><li> Entry-level candidates, recent graduates, or early-career professionals are encouraged to apply</li></ul> 


Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.

Role Location: Illinois

Compensation Range: $56,000-$84,000 


Benefits

Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.

Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching.

Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.

Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).

All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws. 


What we believe:

We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions. 


Humility:

We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

Humanity:

Through business, we will better the lives of those less fortunate than ourselves.

Integrity:

We honor our commitments and act with responsibility in all our relationships. 
<div></div>
<div>
Equal Employment Opportunity Statement</div><div> 
UST is an Equal Opportunity Employer.</div> 
<div></div>

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances.
<div>
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.</div> 
<div></div>
<div>
#UST</div>
<div>
#CB</div>
<div>
#LI-VK5</div></div>
<h3 class="jobSectionHeader">Skills</h3>
<div>data science,python,numpy,scikit-learn,data wrangling,exploratory data analysis,data visualization,</div>
<h3 class="jobSectionHeader">Benefits</h3>
<h3 class="jobSectionHeader">Compensation range: $ 56,000.00 to 84,000.00 per year</h3></div></div></div>
 <div><h3 class="jobSectionHeader">About UST</h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Data Scientist (Python Developer)

BMO Financial Group

320 S Canal Street Chicago Illinois,60606
 
<div><div><div>Job Description</div></div><div><div><div><div>
Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.<ul><li>
Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.</li><li>
Collaborates with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.</li><li>
Collaborates with data scientists and other stakeholders to understand data and modeling needs and develop solutions that meet those needs.</li><li>
Designs, builds, and maintains large-scale data pipelines for reporting, analysis and machine leaning/deep leaning models.</li><li>
Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.</li><li>
Develops machine learning/deep learning models. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.</li><li>
Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.</li><li>
Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.</li><li>
Ensures alignment between values and behaviours that fosters diversity and inclusion.</li><li>
Regularly connects work to BMO&rsquo;s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.</li></ul> 
Qualifications:
Advanced level of proficiency:<ul><li>
Advanced degree (PhD preferred) in Data Science, Statistics, Applied Mathematics, Economics, or related quantitative field.</li><li>
5+ years of data science experience.</li><li>
In-depth knowledge in machine learning and deep learning models, such as but not limited to, XGboosting, LSTM and LLM etc.</li><li>
Data visualization and polished communication skills.</li><li>
Self-driven problem solver; able to adapt and thrive in a dynamic, ambiguous, and customer-focused environment.</li><li>
Highly analytical, technically proficient, and able to learn new tools and ML models quickly.</li><li>
Trust, bias and ethics.</li><li>
Collaboration &amp; team skills; with a focus on cross-group collaboration.</li><li>
Able to manage ambiguity.</li><li>
Data driven decision making.</li><li>
Experience with GenAI LLM models</li><li>
Experience with MLOps, building workflows for model retraining, monitoring and deploying</li><li>
Experience with ML frameworks such as TensorFlow, PyTorch</li><li>
Experience with cloud-based data platforms such as AWS or Azure</li><li>
Experience with data visualization tools such as Power BI</li></ul></div></div></div></div>
Salary:
$122,400.00 - $228,000.00
Pay Type:
Salaried
The above represents BMO Financial Group&rsquo;s pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group&rsquo;s expected target for the first year in this position.
BMO Financial Group&rsquo;s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards
About Us
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one &ndash; for yourself and our customers. We&rsquo;ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we&rsquo;ll help you gain valuable experience, and broaden your skillset.
To find out more visit us at https://jobs.bmo.com/us/en
BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.</div>

Principal Data Scientist

Explore 698+ Principal associate data scientist anti money laundering modeling and advanced data insights in Chicago this March. Find roles across top companies and apply now to boost your career.

698 principal associate data scientist anti money laundering modeling and advanced data insights jobs In Chicago

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Senior Analyst, Market Risk-Refining Products Trading

Market Analytics Analyst

Data Scientist (Python Developer)

Principal Data Scientist