quantitative analyst developer

Paragon Alpha - Hedge Fund Talent Business

<div>
 
 Paragon Alpha is partnering with a leading systematic hedge fund as they continue to expand their Data function, hiring a Data Support Analyst to join their New York office.
 
 
 
 
 
 Working closely with quantitative researchers and traders, you'll play a key role in supporting the firm's investment platform by onboarding and maintaining large-scale datasets, ensuring data quality, expanding data coverage, and improving documentation across a wide range of market data sources.
 
 
 
 
 
 The ideal candidate will have experience working with data systems, pipelines, and APIs, alongside strong Python skills, familiarity with common data libraries, and an excellent academic background.
 
 
 
 
 
 This is an outstanding opportunity to join one of the industry's top-performing quantitative hedge funds, offering direct exposure to front-office research and trading within a collaborative, technology-driven environment where data sits at the heart of the investment process.
 
 
 
 
 
 Please apply if you're interested in learning more.
 
</div>

Data Support Analyst - Systematic Hedge Fund

<div><div><div><div><ul><div>Job ID: 61300</div>
<div></div><div>5 - 7 Years</div>
<div></div><div>1 Opening</div>
 <div>Hyderabad</div></ul></div><div> 
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader">Role description</h3>
<div>Job Description (JD) &ndash; Salesforce CPQ Senior System Analyst / Senior Developer

Job Title

Salesforce CPQ Senior System Analyst / Senior Developer

Experience Range

8&ndash;9 Years Total IT Experience
<ul>
<li>Minimum 5&ndash;6 years of Salesforce.com development, implementation, administration, configuration, and customization experience</li>
<li>Minimum 2+ years of Salesforce CPQ implementation experience</li>
<li>Experience in at least 2 Salesforce CPQ projects</li>
<li>Experience in at least 4 Salesforce Lightning projects</li>
</ul>
Hiring Location: Noida/Gurgaon/Chennai/Bangalore/Kochi/Trivandrum/Kolkata
<div></div>
Job Summary

We are seeking an experienced Salesforce CPQ Senior System Analyst / Senior Developer with extensive expertise in Salesforce development, CPQ implementation, Lightning development, and platform customization. The ideal candidate should possess strong hands-on experience in Apex, Visualforce, Lightning Components (Aura/LWC), Salesforce Administration, and Salesforce CPQ configuration. The role requires close collaboration with onsite US-based teams and business stakeholders to deliver scalable Salesforce solutions.
<div></div>
Must-Have Skills

Salesforce CPQ
<ul>
<li>Minimum 2 Salesforce CPQ implementation projects</li>
<li>Strong hands-on experience in:</li>
<ul><li>Product Configuration</li>
<li>Product Features</li>
<li>Product Bundles</li>
<li>Product Rules</li>
<li>Pricing Rules</li>
<li>Quote Templates</li>
<li>Discount Schedules</li>
<li>Advanced Approvals</li>
</ul><li>Experience with CPQ JavaScript Plugin Library preferred</li>
</ul>
Salesforce Development
<ul>
<li>Strong hands-on development experience in:</li>
<ul><li>Apex Classes</li>
<li>Apex Triggers</li>
<li>Visualforce Pages</li>
<li>Lightning Web Components (LWC)</li>
<li>Aura Components</li>
<li>SOQL/SOSL</li>
<li>JavaScript</li>
</ul>
</ul>Salesforce Platform Experience
<ul>
<li>Experience in at least 4 Salesforce Lightning projects</li>
<li>Strong experience in:</li>
<ul><li>Sales Cloud</li>
<li>Service Cloud</li>
<li>Experience/Community Cloud</li>
</ul><li>Strong understanding of:</li>
<ul><li>Salesforce Security Model</li>
<li>Profiles, Roles, Permission Sets</li>
<li>Sharing Rules</li>
<li>User Administration</li>
</ul>
</ul>Integrations
<ul>
<li>Experience integrating Salesforce with enterprise applications using:</li>
<ul><li>REST APIs</li>
<li>SOAP Web Services</li>
<li>WSDL</li>
<li>SSL/Security Standards</li>
<li>Bulk API</li>
<li>Metadata API</li>
</ul>
</ul>Salesforce Administration &amp; Configuration
<ul>
<li>Workflow Rules</li>
<li>Validation Rules</li>
<li>Approval Processes</li>
<li>Reports &amp; Dashboards</li>
<li>Custom Objects</li>
<li>Custom Fields</li>
<li>Record Types</li>
<li>Page Layouts</li>
<li>Templates</li>
</ul>
Data Migration &amp; Deployment
<ul>
<li>Experience using:</li>
<ul><li>Data Loader</li>
<li>Informatica</li>
<li>MuleSoft</li>
<li>Boomi (preferred)</li>
</ul><li>Experience with:</li>
<ul><li>Change Sets</li>
<li>ANT Migration Tool</li>
<li>Eclipse/VS Code Deployment</li>
<li>Production Releases and Deployment Issue Resolution</li>
</ul>
</ul>Database &amp; Testing
<ul>
<li>Strong experience in:</li>
<ul><li>SQL</li>
<li>PL/SQL</li>
<li>Database Schema Design</li>
<li>Stored Procedures</li>
</ul><li>Expertise in:</li>
<ul><li>Unit Testing</li>
<li>Test Class Development</li>
<li>Positive &amp; Negative Test Scenarios</li>
<li>Salesforce Coding Best Practices</li>
</ul>
</ul>Soft Skills
<ul>
<li>Strong communication and stakeholder management skills</li>
<li>Ability to coordinate knowledge transfer sessions with onsite US teams</li>
<li>Strong analytical and problem-solving capabilities</li>
<li>Ability to provide multiple solution approaches for complex business scenarios</li>
</ul>
<div></div>Preferred Skills
<ul>
<li>Java/J2EE Development Experience</li>
<li>.NET Development Experience</li>
<li>HTML/HTML5</li>
<li>CSS</li>
<li>XML</li>
<li>AJAX</li>
<li>jQuery and JavaScript Frameworks</li>
<li>Object-Oriented Programming Concepts</li>
<li>Salesforce Mobile (Salesforce1 / VF Mobile)</li>
<li>Heroku</li>
<li>Einstein Analytics / Einstein AI</li>
<li>Radian6</li>
<li>DevOps and CI/CD exposure</li>
</ul>
<div></div>Required Certifications

Mandatory
<ul>
<li>Salesforce CPQ Specialist</li>
<li>Salesforce Platform Developer I</li>
<li>Salesforce Platform Developer II</li>
<li>Salesforce Platform App Builder</li>
</ul>
Good to Have
<ul>
<li>Advanced Administrator Certification (ADM301)</li>
<li>Sales Cloud Consultant Certification</li>
<li>Service Cloud Consultant Certification</li>
</ul>
<div></div>Key Responsibilities
<ul>
<li>Design, develop, and implement Salesforce CPQ and CRM solutions.</li>
<li>Configure and customize Salesforce applications to meet business requirements.</li>
<li>Develop scalable solutions using Apex, Visualforce, Aura, and Lightning Web Components.</li>
<li>Build and maintain integrations with external enterprise systems.</li>
<li>Configure CPQ products, bundles, pricing, approval workflows, and quote templates.</li>
<li>Perform code reviews and ensure adherence to Salesforce best practices.</li>
<li>Support production deployments and troubleshoot deployment issues.</li>
<li>Create reports, dashboards, and analytics solutions.</li>
<li>Collaborate with business stakeholders, architects, and onsite teams to deliver high-quality solutions.</li>
<li>Provide technical mentoring and support to junior team members.</li></ul></div> 

<h3 class="jobSectionHeader">Skills</h3>
<div>salesforce,apex,visualforce,lightning,</div></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>

Developer III - SFDC CPQ Developer

Mayo Clinic

<div><div>Why Mayo Clinic</div><div> 
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News &amp; World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans &ndash; to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.</div><div> 
</div><div>
Benefits Highlights 
<ul><li>
Medical: Multiple plan options.</li><li>
Dental: Delta Dental or reimbursement account for flexible coverage.</li><li>
Vision: Affordable plan with national network.</li><li>
Pre-Tax Savings: HSA and FSAs for eligible expenses.</li><li>
Retirement: Competitive retirement package to secure your future.</li></ul></div> 

Responsibilities 
We are seeking a highly motivated researcher with experience in machine learning with Python to develop multimodal AI/ML models from healthcare conversations combined with other sources of data (e.g., scans and tabular data). The ideal candidate will have hands-on experience with textual (NLP), acoustic (speech), and visual data and the ability to integrate these modalities into state-of-the-art models for healthcare applications. The analyst assists with multidisciplinary research analysis using a variety of analytical, quantitative, qualitative, and programming skills. The analyst conducts comprehensive literature searches related to health services research initiatives and compiles and summarizes written and electronic data for research projects. Research funding sources and collects necessary documents for participating in external research collaborations. Writes draft reports that clearly and concisely summarize and illustrate projects findings, outcomes, and results. Drafts sections of grants, abstracts, and manuscripts. Collects and assists in designing data analysis strategies, evaluating data needs and methods of data collection. Implements the data collection protocol. Assists in reviewing study methods, statistical models, and sampling schemes. Trends data to identify potential areas of the investigation supported by graphical presentations. Evaluates the reliability of data sources to ensure data integrity. Coordinates multiple project assignments and is responsible for completing tasks in given timeline. Designs and maintains quantitative and qualitative databases including the management and updating of data.
Model Development &amp; Optimization:<ul><li>
Build and deploy multimodal AI/ML models integrating textual, acoustic, and visual inputs from healthcare conversations and other sources of data (e.g., scans and tabular data)</li><li>
Implement, train, and fine-tune models in Python using packages such as PyTorch, Transformers, OpenCV, torchvision, and torchaudio.</li><li>
Apply prompting strategies, parallel computing, and GPU acceleration to optimize large-scale model training and inference.</li></ul>
Data Management &amp; Analysis:<ul><li>
Collect, preprocess, and manage complex quantitative and qualitative datasets while ensuring data integrity and reproducibility.</li><li>
Design and execute advanced data analysis strategies, including statistical modeling, sampling schemes, and evaluation of computational methods.</li></ul>
Research &amp; Writing:<ul><li>
Conduct literature reviews on AI in healthcare and health services research.</li><li>
Prepare clear and concise reports, visualizations, and presentations of project outcomes.</li><li>
Draft sections of grants, abstracts, and manuscripts related to AI/ML in healthcare.</li><li>
Identify external funding opportunities and contribute to multi-institutional research collaborations.</li></ul>
Project Coordination:<ul><li>
Manage multiple concurrent assignments, track milestones, and ensure timely project delivery.</li><li>
Maintain and update internal quantitative and qualitative databases</li></ul> 

Qualifications 
Master&rsquo;s degree in Computer Science, Engineering, Data Science, Health Informatics, or related field, with substantive coursework in machine learning experience preferred (two years minimum) OR Bachelor&rsquo;s degree in the fields above with strong quantitative background and four years of experience (minimum) required. Research experience preferred. Experience with previous research projects with quantitative and/or qualitative focus. Competent to work independently in most phases of research analysis, requiring only general instructions and direction. Demonstrated proficiency in written communication and research methodology. Able to think logically and to systematically analyze alternative solutions in problem solving. Knowledgeable about a current health care delivery environment. Works with general supervision; develops procedures for performance of a variety of duties; performs complex duties within established guidelines.
Technical Skills:<ul><li>
Strong programming skills in Python, with proficiency in PyTorch, Transformers, and scikit-learn.</li><li>
Experience in NLP, speech processing, and/or visual modeling evidenced through previous projects.</li><li>
Familiarity with GPU computing, distributed training, and prompting strategies ( for large language models.</li><li>
Familiarity with Bash scripting</li></ul>
Professional Skills:<ul><li>
Demonstrated ability to work independently and in multidisciplinary teams.</li><li>
Excellent written and verbal communication skills, with experience drafting research reports and manuscripts.</li><li>
Familiarity and interest with healthcare research and delivery contexts preferred.</li></ul>
Note: Visa sponsorship is not available for this position. Must be U.S. citizen, permanent resident, refugee or asylee. 
Exemption Status 
 
Nonexempt 
 
Compensation Detail 
 
$35.45-$53.15/hr; Education, experience and tenure may be considered along with internal equity when job offers are extended. 
 
Benefits Eligible 
 
No 
 
Schedule 
 
Part Time 
 
Hours/Pay Period 
 
Varied 
 
Schedule Details 
 
Flexible hours/Up to 40 hours a week 
 
Weekend Schedule 
 
N/A 
 
International Assignment 
 
No 
 
Site Description 
<div>
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.</div><div><div> 
Equal Opportunity</div><div> 
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the &quot;EOE is the Law&quot;. Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization. 
</div></div> 
 
Recruiter 
 
Stephanie Baird</div>

KER Unit - Health Services Analyst - Supplemental

Wise

<div>Company Description 
Wise is a global technology company, building the best way to move and manage the world&rsquo;s money. 
Min fees. Max ease. Full speed.
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
As part of our team, you will be helping us create an entirely new network for the world's money. 
For everyone, everywhere.
More about our mission and what we offer. 
Job Description 
We are seeking a talented quantitative developer to join our Treasury Markets Data Science team. This role focuses on owning and operating the production infrastructure behind our FX pricing, risk, and trading systems with the opportunity to broaden the scope of work into traditional quant aspects.
Your work will have a direct impact on Wise&rsquo;s mission and millions of our customers. 
About the Role:
You'll join the Treasury Markets Data Science team, owning the quantitative infrastructure that powers how Wise manages FX risk across a USD 250bn+ in annual FX volume- serving everyone from retail customers sending money abroad to tier-1 banks via Wise Platform.
The wider Treasury FX team includes quants, traders, analysts, product managers and engineers working together to price, hedge, manage and scale FX operations within Wise in real time. Within that, the Data Science team owns the quantitative platform:
We run a Python-first, production-grade quant platform: real-time curve construction, multi-instrument pricing, risk analytics, and trading strategy - all built and operated by the same team. Your primary focus is keeping these systems reliable, performant and well-engineered - while thinking deeply about how they serve customers and products. You'll also contribute to the quantitative models themselves as you grow into the domain.
What you&rsquo;ll own<ul><li>
Python microservices that run quantitative models in production</li><li>
Monitoring, alerting, and reliability for real-time pricing and risk systems</li><li>
Shared quant libraries used across multiple services</li><li>
CI/CD pipelines, deployment and operational excellence</li><li>
Incident response and root cause analysis for production issues</li></ul>
Where you&rsquo;ll grow<ul><li>
Real-time curve construction (yield curves, FX forwards, vol surfaces)</li><li>
Pricing models for new instruments and products</li><li>
Trading strategy development and optimisation</li><li>
Risk modelling alongside the Risk team (VaR, stress testing, scenario analysis)</li><li>
Backtesting frameworks and model validation</li><li>
Customer behaviour modelling, pricing strategy and product launch support</li><li>
Collaborating with product teams to translate quantitative insights into customer-facing decisions</li></ul> 
Qualifications 
What we&rsquo;re looking for<ul><li>
4+ years building and maintaining production Python systems</li><li>
Strong experience with microservices, databases, and production infrastructure</li><li>
Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.)</li><li>
Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness</li><li>
Experience with testing, monitoring, and debugging complex systems under load</li><li>
A product mindset - you think about who uses your systems and why</li><li>
Clear communicator who can work cross-functionally with other quants, analysts, traders, product managers and engineers</li></ul>
It&rsquo;s a bonus if you are familiar with<ul><li>
FX or financial markets experience</li><li>
Term structure modelling, stochastic calculus or Monte Carlo methods</li><li>
Interest rate curve bootstrapping</li><li>
Algorithmic execution experience</li><li>
Data lake or warehouse experience (Snowflake, Iceberg, Spark etc.)</li></ul>
We&rsquo;re people without borders &mdash; without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you&rsquo;re passionate about learning new things and keen to join our mission, you&rsquo;ll fit right in.
Also, qualifications aren&rsquo;t that important to us. If you&rsquo;ve got great experience, and you&rsquo;re great at articulating your thinking, we&rsquo;d like to hear from you.
And because we believe that diverse teams build better products, we&rsquo;d especially love to hear from you if you&rsquo;re from an under-represented demographic 
Additional Information<div></div> 
For everyone, everywhere. We're people building money without borders &mdash; without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences. 
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.</div>

Lead Data Scientist (Quant) - Treasury FX

Wise Australia Investments

<div><div><div>Wise is a global technology company, building the best way to move and manage the world&rsquo;s money. 
Min fees. Max ease. Full speed.
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
As part of our team, you will be helping us create an entirely new network for the world's money. 
For everyone, everywhere.
. 
Job Description 
We are seeking a talented quantitative developer to join our Treasury Markets Data Science team. This role focuses on owning and operating the production infrastructure behind our FX pricing, risk, and trading systems with the opportunity to broaden the scope of work into traditional quant aspects.
Your work will have a direct impact on Wise&rsquo;s mission and millions of our customers. 
About the Role:
You'll join the Treasury Markets Data Science team, owning the quantitative infrastructure that powers how Wise manages FX risk across a USD 250bn+ in annual FX volume- serving everyone from retail customers sending money abroad to tier-1 banks via Wise Platform.
The wider Treasury FX team includes quants, traders, analysts, product managers and engineers working together to price, hedge, manage and scale FX operations within Wise in real time. Within that, the Data Science team owns the quantitative platform:
We run a Python-first, production-grade quant platform: real-time curve construction, multi-instrument pricing, risk analytics, and trading strategy - all built and operated by the same team. Your primary focus is keeping these systems reliable, performant and well-engineered - while thinking deeply about how they serve customers and products. You'll also contribute to the quantitative models themselves as you grow into the domain.
What you&rsquo;ll own<ul><li>
Python microservices that run quantitative models in production</li><li>
Monitoring, alerting, and reliability for real-time pricing and risk systems</li><li>
Shared quant libraries used across multiple services</li><li>
CI/CD pipelines, deployment and operational excellence</li><li>
Incident response and root cause analysis for production issues</li></ul>
Where you&rsquo;ll grow<ul><li>
Real-time curve construction (yield curves, FX forwards, vol surfaces)</li><li>
Pricing models for new instruments and products</li><li>
Trading strategy development and optimisation</li><li>
Risk modelling alongside the Risk team (VaR, stress testing, scenario analysis)</li><li>
Backtesting frameworks and model validation</li><li>
Customer behaviour modelling, pricing strategy and product launch support</li><li>
Collaborating with product teams to translate quantitative insights into customer-facing decisions</li></ul> 
Qualifications 
What we&rsquo;re looking for<ul><li>
4+ years building and maintaining production Python systems</li><li>
Strong experience with microservices, databases, and production infrastructure</li><li>
Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.)</li><li>
Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness</li><li>
Experience with testing, monitoring, and debugging complex systems under load</li><li>
A product mindset - you think about who uses your systems and why</li><li>
Clear communicator who can work cross-functionally with other quants, analysts, traders, product managers and engineers</li></ul>
It&rsquo;s a bonus if you are familiar with<ul><li>
FX or financial markets experience</li><li>
Term structure modelling, stochastic calculus or Monte Carlo methods</li><li>
Interest rate curve bootstrapping</li><li>
Algorithmic execution experience</li><li>
Data lake or warehouse experience (Snowflake, Iceberg, Spark etc.)</li></ul>
We&rsquo;re people without borders &mdash; without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you&rsquo;re passionate about learning new things and keen to join our mission, you&rsquo;ll fit right in.
Also, qualifications aren&rsquo;t that important to us. If you&rsquo;ve got great experience, and you&rsquo;re great at articulating your thinking, we&rsquo;d like to hear from you.
And because we believe that diverse teams build better products, we&rsquo;d especially love to hear from you if you&rsquo;re from an under-represented demographic 
Additional Information<div></div> 
For everyone, everywhere. We're people building money without borders &mdash; without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences. 
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
Keep up to date with life at Wise by following us on </div></div><div><div><div><div>Instagram</div></div></div></div></div><div></div>

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 
</li>
<li>5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience and a Master's degree).</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 
</li>
<li>5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Operations Data Science (ODS) is a team of Data Scientists (Research and Analyst) experts, who provide model-based decision support to scale Google's Technical Infrastructure optimally.
If you like using data, metrics, forecasts, statistics, operations research, analytical insights, strategic thinking and executive level business communications to optimize large spend decisions on Google's technical infrastructure, then you should consider joining ODS as a Data Scientist.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 
 
US: $138000 - $198000 (USD) + 15% bonus target + equity + benefits 
 
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Collaborate with cross-functional stakeholders to understand their business needs and frame analytical problems.</li>
<li>Develop, maintain, support, and enhance custom forecasting and capacity planning tools for Google&rsquo;s data center infrastructure.</li>
<li>Drive analysis and modeling, drawing from multiple analytical methods and choose the right method and level of complexity appropriate for the business challenges.</li>
<li>Engage broadly to identify, prioritize, frame, and structure complex and ambiguous challenges, where data science projects or tools can have the biggest impact. Measure business outcomes driven from the analytical recommendations.</li>
<li>Articulate business questions and use mathematical techniques to arrive at an answer using data. Translate analysis results into actionable business recommendations supported by technical documentation and presentations.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Product Data Scientist, Operations

Information Technology Senior Management Forum

<div><div>Posted Date
7/10/2026
</div><div>Description
<div>Principal Data Analyst - Strategy and Analytics
At Capital One, data is at the center of everything we do. When we launched 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 Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.
On any given day you will be challenged on three types of work &ndash; Innovation, Business Intelligence, and Data Management:
Innovation<ul><li>
Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms</li><li>
Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers</li><li>
Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives</li></ul>
Business Intelligence<ul><li>
Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization</li><li>
Drive analysis that provides meaningful insights on business strategies</li></ul>
Data Management<ul><li>
Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions</li><li>
Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance</li><li>
Build and execute tools to monitor and report on data quality</li></ul>
Our ideal candidate will have:<ul><li>
Degree specialized in a Science, Technology, Engineering, Mathematics discipline</li><li>
Scripting experience in (Python, R, Spark, and SQL)</li><li>
Sound statistical and machine learning experience, including regression, classifiers, clustering, and causal inference.</li><li>
Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)</li><li>
Experience utilizing and developing within AWS services</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining a Bachelor&rsquo;s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 5 years of experience performing data analytics, or, a Master&rsquo;s Degree plus at least 3 years performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.</li><li>
 At least 3 years of experience working with at least one scripting language</li><li>
 At least 3 years of experience utilizing a business intelligence visualization tool</li><li>
 At least 3 years of experience in querying, analyzing and working with data languages and platforms</li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree in a Science, Technology, Engineering, Mathematics discipline</li><li>
At least 4 years of experience coding in Python, R, Spark, or SQL</li><li>
At least 4 years of experience working within process management and improvement methodologies &ndash; Agile, Lean, Six Sigma, etc.</li><li>
At least 2 years of experience utilizing and developing within AWS services</li><li>
At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry</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.
McLean, VA: $131,300 - $149,800 for Principal Data Analyst 

New York, NY: $143,200 - $163,500 for Principal Data Analyst 
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 Data Analyst - Strategy and Analytics
At Capital One, data is at the center of everything we do. When we launched 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 Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.
On any given day you will be challenged on three types of work &ndash; Innovation, Business Intelligence, and Data Management:
Innovation<ul><li>
Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms</li><li>
Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers</li><li>
Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives</li></ul>
Business Intelligence<ul><li>
Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization</li><li>
Drive analysis that provides meaningful insights on business strategies</li></ul>
Data Management<ul><li>
Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions</li><li>
Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance</li><li>
Build and execute tools to monitor and report on data quality</li></ul>
Our ideal candidate will have:<ul><li>
Degree specialized in a Science, Technology, Engineering, Mathematics discipline</li><li>
Scripting experience in (Python, R, Spark, and SQL)</li><li>
Sound statistical and machine learning experience, including regression, classifiers, clustering, and causal inference.</li><li>
Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)</li><li>
Experience utilizing and developing within AWS services</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining a Bachelor&rsquo;s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 5 years of experience performing data analytics, or, a Master&rsquo;s Degree plus at least 3 years performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.</li><li>
 At least 3 years of experience working with at least one scripting language</li><li>
 At least 3 years of experience utilizing a business intelligence visualization tool</li><li>
 At least 3 years of experience in querying, analyzing and working with data languages and platforms</li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree in a Science, Technology, Engineering, Mathematics discipline</li><li>
At least 4 years of experience coding in Python, R, Spark, or SQL</li><li>
At least 4 years of experience working within process management and improvement methodologies &ndash; Agile, Lean, Six Sigma, etc.</li><li>
At least 2 years of experience utilizing and developing within AWS services</li><li>
At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry</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.
McLean, VA: $131,300 - $149,800 for Principal Data Analyst 

New York, NY: $143,200 - $163,500 for Principal Data Analyst 
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
131,300.00 - 149,800.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Principal Data Analyst - Strategy and Analytics

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