quantitative analyst

Citi

<div><h2 class="jobSectionHeader">Discover your future at Citi</h2>
Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.
<h2 class="jobSectionHeader">Job Overview</h2>
Citi is looking for a Quantitative Analyst to join the Markets Quantitative Analytics team, building and deploying cutting-edge analytics, models, and tools for the Flow Equity Derivatives business across Index, Single Stock, and Convertible Bond desks in North America. In this role, you will work at the intersection of quantitative research and live trading, developing solutions that directly shape how Citi prices, quotes, and hedges equity derivatives in real time. If you are driven by innovation and want to see your work make an immediate impact on a high-performance trading desk, this is the opportunity for you.
<h2 class="jobSectionHeader">Responsibilities</h2>
<ul><li>Build quantitative libraries and analytics tools that support real-time pricing and risk management for flow equity derivatives products.</li>
<li>Develop and maintain models for volatility surface construction, volatility event prediction, and options bid-offer and dividend fitting algorithms.</li>
<li>Design and implement auto-quoting and robo-hedging strategies that improve the speed and consistency of the trading desk's execution.</li>
<li>Apply machine learning techniques, including reinforcement learning, statistical modelling, and numerical optimization to solve complex quantitative problems.</li>
<li>Collaborate directly with traders and technology teams to translate business requirements into robust, production-ready quantitative solutions.</li>
<li>Adhere to rigorous software development standards across the full model development lifecycle, from research and validation through to deployment of approved models in production.</li>
<li>Partner with Legal, Compliance, Risk, Audit, and Finance functions to ensure models meet governance and control requirements.</li>
</ul><h2 class="jobSectionHeader">Required Qualifications &amp; Skills</h2>
<ul><li>Up to 3 years of experience in a quantitative modelling or analytics role, or an equivalent strong academic background in a quantitative discipline.</li>
<li>Proficiency in Python, used to build and deliver quantitative models and analytics in a structured development environment.</li>
<li>Programming skills in C++, applied to performance-sensitive quantitative work.</li>
<li>Working knowledge of mathematical finance, including the ability to implement and interpret models for options and derivatives pricing.</li>
<li>Practical ability to apply statistical and machine learning techniques to data analysis and time-series modelling problems.</li>
<li>Familiarity with numerical methods and optimization, applied to model calibration or algorithm design.</li>
<li>Foundational knowledge of flow equity derivatives products, including American and European options, Variance Swaps, and VIX Futures and Options.</li>
<li>Clear and effective communication skills, with the ability to articulate quantitative concepts to traders, technologists, and control functions.</li>
</ul><h2 class="jobSectionHeader">Beneficial Skills &amp; Qualifications</h2>
<ul><li>A Master's degree in Mathematics, Physics, Engineering, Computer Science, or a related quantitative field.</li>
<li>Hands-on experience applying reinforcement learning techniques to quantitative finance or trading strategy problems.</li>
<li>Familiarity with software design principles and best practices, particularly in the context of building maintainable quantitative libraries.</li>
</ul><h2 class="jobSectionHeader">What We Offer</h2>
Joining Citi's Markets Quantitative Analytics team means working on problems that matter, alongside experienced practitioners on one of the most active equity derivatives businesses in North America. From day one, you will have genuine exposure to live trading activity and the opportunity to contribute to a collaborative, performance-driven environment focused on technical excellence and continuous development.
<ul><li>Direct collaboration with trading professionals on the Index, Single Stock, and Convertible Bond desks, giving your work immediate real-world context and impact.</li>
<li>Access to MQA Connect, a community and programme focused on professional development, knowledge sharing, and career growth within the quantitative analytics function.</li>
<li>Exposure to the full model development lifecycle in a highly regulated environment, building expertise that is directly transferable across quantitative finance roles.</li>
<li>Hybrid working model with 3 days in the office and 2 days working remotely, providing flexibility while maintaining strong desk-level collaboration.</li>
<li>A defined path for technical and career development within a global markets organisation, with access to mentorship and cross-functional learning opportunities.</li>
<li>A role that grows with you, offering increasing scope and responsibility as you develop expertise in equity derivatives quantitative analysis.</li>
</ul>Apply now to bring your quantitative expertise to one of the most technically ambitious flow equity derivatives teams in the market and see your models deployed in a live trading environment from day one.
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<h2 class="jobSectionHeader">Job Family Group:
</h2>Risk Management
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<h2 class="jobSectionHeader">Job Family:</h2>
Model Development and Analytics
-
<h2 class="jobSectionHeader">Time Type:</h2>
Full time
-
<h2 class="jobSectionHeader">Primary Location:</h2>
New York New York United States
-
<h2 class="jobSectionHeader">Primary Location Full Time Salary Range:</h2>
$109 120,00 - $163 680,00 
 
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
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<h2 class="jobSectionHeader">Most Relevant Skills
</h2>Analytical Thinking, Credible Challenge, Data Analysis, Governance, Policy, Procedure, and Regulation, Risk Management Lifecycle.
-
<h2 class="jobSectionHeader">Other Relevant Skills
</h2>For complementary skills, please see above and/or contact the recruiter.
-
<h2 class="jobSectionHeader">Anticipated Posting Close Date:</h2>
ago 21, 2026
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<h2 class="jobSectionHeader">Automated Processing and AI</h2> 
 
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
Illinois residents &ndash; AI Notice and Right
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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</div>

AVP Quantitative Analyst – Flow Equity Derivatives

HarbourVest

<div>Job Description Summary
For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners. As our global firm grows, we continue to add individuals who seek a collaborative, open-door culture that values diversity and innovative thinking.
In our collegial environment that&rsquo;s marked by low turnover and high energy, you&rsquo;ll be inspired to grow and thrive. Here, you will be encouraged to build on your strengths and acquire new skills and experiences.
We are committed to fostering an environment of inclusion that promotes mutual respect among all employees. Understanding and valuing these differences optimizes the potential of both the individual and the firm.
HarbourVest is an equal opportunity employer.
This position will be a hybrid work arrangement. You will receive 18 remote workdays per quarter to use at your discretion, subject to manager approval. For example, you may choose to work in the office 4 days per week and take one remote day weekly (typically 13 weeks per quarter), leaving 5 additional remote days to be used as needed.
Seated within our Quantitative Investment Science group, the Analyst, Junior Quantitative Developer builds the core services, APIs, and shared foundations that the rest of our product is built on. This engineer works at the intersection of engineering and product &mdash; turning product requirements into reliable, well-designed platform capabilities that other engineers and features depend on. While the focus is on backend services and APIs, our team realistically has its hands in any part of the stack, from data pipelines to the frontend application shell. This role is ideal for analytically-minded engineers who care about how systems fit together and want to help shape product through the foundations they build.
The ideal candidate is someone who has:<ul><li>
Strong analytical skills and natural curiosity about how systems work end to end</li><li>
Excellent collaboration skills - you'll work closely with product and development</li><li>
Attention to detail and systematic thinking</li><li>
A love for turning requirements into well-defined, durable systems</li><li>
Interest in finance and building efficient products that users love</li></ul>
What you will do:<ul><li>
Design, build, and maintain core backend services and APIs that power product features</li><li>
Develop shared platform components used across frontend and backend applications</li><li>
Build and improve data pipelines and integrations across the platform</li><li>
Contribute to developer tooling, CI/CD, and automated testing that keeps services reliable</li><li>
Partner with product and design to turn requirements into clear technical designs</li><li>
Support gradual rollouts and feature flags to ship changes safely</li><li>
Instrument services with logging, metrics, and telemetry for reliability</li><li>
Document platform capabilities and APIs so teams can build with confidence</li></ul>
What you bring:<ul><li>
Proficiency in Python and SQL for building services and working with data</li><li>
Understanding of web application architecture (frontend/backend request flow)</li><li>
Exposure to cloud platforms (Azure preferred), including containers and CI/CD pipelines</li><li>
Familiarity with API design and building clear, well-structured endpoints</li><li>
Familiarity with event-driven architecture and telemetry patterns</li><li>
Experience with collaborative git workflows (branching, pull requests, code review)</li><li>
Ability to communicate technical decisions clearly to product and non-technical collaborators</li><li>
Interest in system design and writing clean, well-typed, tested, maintainable code</li><li>
Preferred: Familiarity with React/TypeScript for frontend work, familiarity with feature flags for controlled rollouts, exposure to financial products</li></ul>
Education Preferred
Bachelor of Science (B.S.) or equivalent experience
Experience
2-4 years development experience with exposure to backend services, platform engineering, or data pipelines
#LI-Hybrid 
Base Salary Range
$130,000.00 - $140,000.00
This USD base salary range represents only one component of total compensation for this role and is provided in accordance with local requirements. This role is eligible for a discretionary annual bonus, which is determined based on individual and overall firm performance. In addition to salary and bonus, total compensation may include eligibility for long-term reward programs and a comprehensive total rewards package that may include retirement, health, insurance, paid time off, and wellness programs. Our total rewards offerings are influenced by several business factors, and eligibility for certain components will vary by position and geography. Please note the posted ranges do not apply outside the U.S. and should not be converted to other currencies as a proxy for compensation in other countries.</div>

Analyst, Junior Quantitative Developer - Core Platform

Freddie Mac

<div>At Freddie Mac, our mission of Making Home Possible is what motivates us, and it&rsquo;s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.<h2 class="jobSectionHeader">
Position Overview:</h2>
This is a two-year, full-time rotational program crafted to provide analysts with a broad spectrum of quantitative and technical experience working across multiple capital markets desks. The primary objective of this program is to develop modelers, desk quants and mortgage analytic practitioners through real-world training experiences spanning the entire mortgage capital markets life cycle. Analysts will accelerate their professional growth by working alongside best-in-class professionals in quant-focused rotations while also learning about and developing skills on fixed income trading desks.
The Quantitative Track of the Portfolio Management &amp; Capital Markets Analyst Program is seeking candidates with quantitative skills (i.e., mathematics/statistics/engineering/computer science, some level of programming skills, and other related STEM skills), with interest in fixed income and finance, having experience as a plus. Quantitative Track Analysts will rotate among quantitative-focused capital markets and credit portfolio teams and develop experience working with large data sets, performing complex quantitative analysis, and building programs using coding languages including, but not limited to, Python, SQL, R, SAS, and. Some of the rotations offered include:<ul><li>
Demonstrating big data techniques with Prepayment Modeling to predict borrower behavior.</li><li>
Supporting Credit Risk Transfer desk in analytics related to Freddie Mac portfolio of loans.</li><li>
Modeling impacts of proposed products, pricing adjustments, or changes to our capital structure.</li><li>
Supporting the innovative business pricing decisions based on market behaviors and analyzing, mitigating, and clearly defining credit and prepayment risk.</li><li>
Using corporate models to analyze key credit portfolio/new funding risk and return tradeoffs.</li><li>
Working on quantitative analysis to understand performance of credit portfolio and new fundings.</li></ul><h2 class="jobSectionHeader">
Our Impact:</h2>
Freddie Mac is responsible for handling the ~$3.4 trillion mortgage guarantee and investment portfolios through secondary mortgage market activities such as asset-liability management, loan purchases, servicing transactions, securitization, debt issuance and credit risk transfer.
You'll be part of a team that is intellectually curious, creative, analytical, and passionate about markets, managing risk and adding value to the overall firm. We provide the cash flow, financing, trading and capital market expertise that allows the company to achieve its stated mission of providing liquidity to the house market and making home possible.<h2 class="jobSectionHeader">
Your Impact:</h2>
In this position, you will develop analytical tools and models while applying statistical techniques to large data sets to enhance decision making. You will gain diverse perspectives working across desks; on one desk you may support and complete a structured credit transaction, while on another, you may apply data science techniques to identify MBS market trends. You&rsquo;ll work on a variety of assignments, each presenting challenges and scope, and you are expected to ask questions, take initiative, and produce quality work that contributes to our team&rsquo;s success. Throughout your rotations, you will pick up real-world experience, enabling you to bring different, educated viewpoints to desks that embrace your knowledge and expertise. We guarantee a comprehensive rotation experience with both quant and market facing desks.
Through these rotations, analysts will build the following proficiencies and opportunities:<ul><li>
Fixed income valuation and financial transaction analysis.</li><li>
Expertise in the U.S. Economy.</li><li>
Knowledge of primary and secondary mortgage financial systems.</li><li>
Advanced quantitative abilities (e.g., Advanced Excel, SQL, SAS, Python, R).</li><li>
Professional networking skills and opportunities within the company and industry.</li><li>
Mentorships to help guide your career.</li><li>
Social community of analysts.</li></ul><h2 class="jobSectionHeader">
Qualifications:</h2><ul><li>
Quantitative skills (i.e., math, statistics, and/or programming) demonstrated through coursework and/or internships. Experience with Python, R, SQL, SAS, and/or machine learning packages is preferred.</li><li>
Bachelor&rsquo;s degree, preferably but not only in Economics, Finance, Business, Engineering, Mathematics, or Statistics. Also preferred quantitative knowledge and experience in computer and data science, physics, and econometrics.</li><li>
Availability to begin full-time employment in January 2027 or June 2027, following Fall 2026 or Spring 2027 graduation, respectively.</li></ul><h2 class="jobSectionHeader">
Keys to Success in this Role:</h2><ul><li>
Ability to demonstrate adaptability and teachability to learn quickly and pick up new skills/concepts</li><li>
Exceptional communication skills, both written and verbal</li><li>
Strong problem-solving ability</li><li>
Microsoft Office skills required</li><li>
Basic coding skills required; Additional quantitative skills preferred</li></ul>
At the conclusion of the rotation period, analysts are encouraged to apply for a full-time position within the company. The standard internal apply-process is required, and guidance for securing a full-time opportunity will be provided. Employment opportunities post-rotational program are not guaranteed and subject to business needs, performance evaluations, and available positions.<ul><li>
Must be a great teammate and able to work collaboratively</li><li>
Comfortable working in a fast-paced trading floor environment</li><li>
Attention to detail, exercise sound judgment and can handle sensitive information with discretion</li><li>
Remain aware of industry-related news and analyze the implications of news/industry developments</li><li>
Apply a learning mindset and take ownership for your development.</li><li>
Exposure to AI tools, bots, agents, prompt engineering, or automation technologies.</li></ul>
Current Freddie Mac employees please apply through the internal career site.
We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
A safe and secure environment is critical to Freddie Mac&rsquo;s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy &amp; security obligations as required via training programs.
CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.
Time-type:Full time
FLSA Status:Non-Exempt
Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.
This position has an annualized market-based salary range of $63,000 - $95,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.</div>

Capital Markets Analyst - Quantitative

State of New Mexico

Posting Details
 
The Unemployment Insurance (UI) Division is responsible for administering the state's UI program under the oversight of the United States Department of Labor (USDOL). This includes the collection of UI contributions/taxes from employers on a quarterly basis, and the distribution of unemployment compensation to New Mexicans who have lost their jobs through no fault of their own and meet various eligibility requirements. The Division executes these functions via robust self-service web services, as well as through staff assisted services via the UI Operations Center. The Division has nearly 173 FTEs to include contractors located statewide.
 Why does the job exist?
 
Data Analysts conducts extensive research, data interpretation, management and maintenance of agency-related data sets, and more to help agencies meet their goals. They formulate and apply mathematical modeling and other optimizing methods using a computer to develop and interpret information that help with decision making, policy formulation, or other managerial functions. Data Analysts may also engage in the development of mathematical theory or apply statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information.
 How does it get done?
 
<ul>
<li>Responsible for running and reviewing UI ETA reports (use of SQL).</li>
<li>Works with management to reconcile ETA reports with work performed to ensure consistency of reported data to our Federal partners.</li>
<li>Collaborates with financial analyst to compile, document, forecast data towards accurate and complete analysis for the Resource Justification Model (RJM).</li>
<li>Applies quantitative techniques and mathematical formulas to identify, address problems and assist in making decisions.</li>
<li>Works with developers to modify computer programs to create solutions and use system knowledge to select as needed the best recommendation.</li>
<li>Interprets results of quantitative models, identifies trends and issues, and develops alternatives to support agency objectives.</li>
<li>Collaborates with multidisciplinary teams to create accurate and meaningful dashboards providing data visualization communicating actionable information.</li>
<li>Builds and maintains analytical tools to ensure agency's monitoring ability of emerging trends.</li>
<li>Performs advanced ad-hoc analysis when required and collaborates with leadership on prioritization.</li>
<li>Takes initiative to collaborate with analytic team/peers, data stewards, and data custodians when data obstacles are identified.</li>
<li>Collaborates on solutions and potential workarounds when analytics team identifies issues.</li>
<li>Maintains advanced working knowledge of tools such as Tableau, SQL and all MS products.</li>
<li>Interprets and defines trends to be used to improve performance and determine training and SOP development as needed.</li>
<li>Annotates documents to maintain consistency with the related database records.</li>
<li>Uses queries to understand items and other demographic information of populations served.</li>
</ul>
Who are the customers?
 
The Department of Labor, State of New Mexico, Employers and claimants of the State of New Mexico as well as staff within the New Mexico Department of Workforce Solutions.
 Ideal Candidate
 
The Department of Labor, State of New Mexico, Employers and claimants of the State of New Mexico as well as staff within the New Mexico Department of Workforce Solutions.
 Minimum Qualification
 
High School diploma or equivalent and two (2) years of experience directly related to the position in providing GIS support, research, statistics, computer science, data analysis, accounting, auditing, finance, economics, business, public administration, budgeting, management, and/or systems analysis or related professional certification as determined by the hiring agency. Any combination of education from an accredited college or university in a related field and/or direct experience in this occupation totaling two (2) years may substitute for the required experience.
 Employment Requirements
 
Must possess and maintain a valid Driver's License and a current Defensive Driving Course Certificate (DDC) from the State of New Mexico. Must possess DDC within six (6) months of date of hire as a condition of continued employment.
 Working Conditions
 
This position is located in the Unemployment Insurance (UI) Operations inbound call center. Work is performed in an open floor office concept, call center environment with exposure to Visual/Video Display Terminal (VDT), extensive personal computer and phone usage, moderate noise, and possible dust. Extended sitting and some bending and reaching
 
Background check is required for this position.
 Supplemental Information
 
Do you know what Total Compensation is? Click here
 
Agency Contact Information: Gavin Pantoja (Gavin.pantoja@dws.nm.gov) Email
 
For information on Statutory Requirements for this position, click the Classification Description link on the job advertisement.
 
Bargaining Unit Position
 
This position is not covered by a collective bargaining agreement.

Unemployment Insurance Data Analyst (DWS#9870)

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Ph.D. in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics, Operations Research, or a related field.
</li><li>Position requires: Applying statistical or optimization methods to solve business problems; Framing business problems posed by non-quantitative stakeholders into tractable quantitative problems; Presenting and defending quantitative solutions to senior leadership, for implementation or to influence the business roadmap; Python or R for statistical analysis and algorithms; and Explaining statistical concepts (Statistical Hypothesis Testing, Statistical Significance, Causal Inference, Confidence Intervals, Survival Analysis, Advanced Design of Experiments, ML/AI Evaluation) to non-quantitative audiences.
</li></ul><div><h2 class="jobSectionHeader">About the job</h2>
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun &mdash; and we do it all together. 
The US base salary range for this full-time position is $164,450 - $211,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google. 
Position reports to the Google San Bruno, CA office &amp; may allow for a hybrid schedule per Google policy.</div><div><h2 class="jobSectionHeader"> 
Responsibilities</h2><ul>
<li>Collaborate with stakeholders to translate business needs into clear analytical questions, evaluation metrics, and mathematical models.</li>
<li>Gather business goals, organizational context, and information regarding existing and upcoming data infrastructure to guide your analysis.</li>
<li>Extract and compile large-scale data from multiple sources using SQL, R, and Python.</li>
<li>Validate and prepare datasets for analysis by formatting, re-structuring, and ensuring data quality and integrity.</li>
<li>Design and evaluate sophisticated models to mathematically solve complex problems with limited precedent. Apply scientific and statistical methods to evaluate and improve Google's products for millions of users worldwide.</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>

Data Scientist

JPMorganChase

<div>JOB DESCRIPTION 
 
 
Bring your Expertise to JPMorganChase. As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo, and striving to be best-in-class.
As a Quantitative Researcher in Wholesale Credit Risk Modeling team, , you will develop and enhance quantitative models that support responsible growth and strong risk controls. You will partner with credit risk, finance, and technology teams to translate business needs into scalable model solutions. You will help us strengthen model methodology, documentation, and governance for key regulatory and risk management use cases. You will present model approaches, results, and limitations to senior stakeholders and model governance forums.
Job Responsibilities
<ul><li>Develop wholesale credit risk measurement models for portfolios such as Commercial Real Estate loans and structured product vehicles
</li><li>Build credit loss models supporting the bank's Current Expected Credit Loss estimation
</li><li>Develop stress testing models supporting Comprehensive Capital Analysis and Review processes
</li><li>Create scorecard and modeling approaches to measure credit risk for Commercial Real Estate clients
</li><li>Assess model performance, limitations, and use appropriateness to identify and monitor model risk
</li><li>Design efficient numerical methods to support model estimation, calibration, and validation
</li><li>Implement high-performance computing solutions to improve model runtime and scalability
</li><li>Build reusable analytics software frameworks and integrate model outputs into downstream systems
</li><li>Analyze large, real-world datasets to derive insights that improve model accuracy and stability
</li><li>Partner with credit officers, portfolio managers, finance, and technology to deliver business-ready solutions
</li><li>Communicate methodology, results, and limitations clearly to model governance committees and regulators
</li></ul>Required Qualifications, Capabilities, and Skills
<ul><li>Master's degree or higher in a quantitative discipline (for example: mathematics, physics, statistics, economics, finance, or computer science)
</li><li>3 years of experience developing statistical and/or economic models in a financial services or risk context
</li><li>3 years of experience applying regression and multivariate statistical techniques to real-world datasets
</li><li>3 years of hands-on programming experience in Python for data analysis and modeling (including pandas and NumPy)
</li><li>2 years of experience working with machine learning techniques in model development or analytics workflows
</li><li>Demonstrated experience working with large datasets and building repeatable data pipelines for modeling
</li><li>Knowledge of core banking risks and how risk is measured and managed in a wholesale credit context
</li><li>Ability to explain complex quantitative concepts to non-technical stakeholders in clear, concise language
</li><li>Proven ability to collaborate across functions and translate business needs into quantitative solutions
</li><li>Strong attention to detail, with a disciplined approach to testing, documentation, and controls
</li><li>Ability to adapt quickly, learn new domains, and deliver in a fast-paced environment
</li></ul>Preferred Qualifications, Capabilities, and Skills
<ul><li>Doctorate in a quantitative discipline (for example: mathematics, physics, statistics, economics or finance)
</li><li>Experience developing wholesale credit risk models for Basel, Comprehensive Capital Analysis and Review, or Current Expected Credit Losses exercises
</li><li>Experience designing numerical algorithms (for example: optimization or root-finding) for model calibration
</li><li>Experience with Linux or Unix environments for research and production workflows
</li><li>Familiarity with cloud platforms and model lifecycle tooling (for example: AWS, Azure, MLflow, Kubeflow, or SageMaker)
</li><li>Experience using modern artificial intelligence tools to accelerate model development, testing, or documentation workflows
</li><li>Knowledge of graph or network analytics for counterparty or contagion risk modeling
</li></ul>ABOUT US 
 
 
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM
 
 
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Risk Management - Wholesale Quantitative Research, Associate

Synchrony

<div><div><div><h2 class="jobSectionHeader">Overview</h2>
<ul><li>Location: Chicago, Illinois; Stamford, Connecticut; Lake Mary, Florida; Alpharetta, Georgia; New York, New York; Charlotte, North Carolina; Canton, Ohio; West Chester, Ohio; Dallas, Texas; Draper, Utah</li>
<li>Salary: 85,000.00 - 140,000.00 USD Annual</li>
</ul></div></div><div><div><div><div><div><h2 class="jobSectionHeader">About Us</h2>
Synchrony is more than a financial services company, we&rsquo;re a team of passionate innovators committed to delivering best-in-class solutions that support millions of customers across the U.S. With a bold focus on technology, data, and digital innovation, we create meaningful experiences that simplify lives and enable financial wellness.
When you join Synchrony, you become part of an inclusive culture where your voice matters, your growth is championed, and your work drives impactful results.
</div></div></div></div></div><div><div><h2 class="jobSectionHeader">Job Description</h2>
<div><div><div>Job ID</div>
<div>2602127</div>
</div><div><div>Category</div>
<div>Credit &amp; Risk</div>
</div><div><div>Date posted</div>
<div>07/29/2026</div>
</div></div><div>Role Summary/Purpose:
Synchrony's Credit and Capital Management group is looking for a data scientist / credit risk modeling professional experienced with executing, maintaining and developing models under the relevant regulatory guidance (SR 11-7 / OCC 2011-12, CECL, CCAR, DFAST). This role is part of Credit and Capital Management, in the Reserves &amp; Loss forecasting team. The role requires demonstrated expertise with data, statistical analysis and model development, as well as programming skills (Python/Pandas, Spark, Hadoop, SQL, Linux).
The primary focus of this role is on the quarterly reserve development process, as well as planning sessions involving loss forecast and reserve estimate projections. As lead analyst, the role is responsible for executing critical credit estimation models on a quarterly basis, providing analytical input to development of estimates of Credit and Fraud Losses by executing complex statistical, trend-based models with forward looking features.This role analyses trends and drivers of changes across the entire Synchrony portfolio and all products. In addition, robust collateral is required to be produced in support of process risk controls and related documentation as part of effective governance, as well as internal and external review.
The lead analyst will collaborate across different functions in Credit &amp; Capital Management, with IT and model development to manage model enhancements and big data processing.
The person will use their model knowledge, business analysis and process experience to ensure business intent is matched with sound estimates, and communicate with peers and functional leaders, as well as document assumptions and methods to meet accounting rules and model risk management guidelines.
Essential Responsibilities:
<ul><li>Plan and execute models in the production Reserves and Loss Forecasting process with a focus on CECL, as well as allied quantitative estimates such as recoveries and scenario management and stress testing</li>
<li>Maintain model data input monitoring, production controls and output analytics including results analysis along with robust documentation of key facets</li>
<li>Support quarterly review process and quarter closing activities, as well as contribute to effective process controls as peer reviewer</li>
<li>Visualize insights, performance, and trends in inputs/outputs for effective communication and decisioning</li>
<li>Drive understanding of drivers and providing narrative support for the assumptions, rationale, and projections to model owners and sponsors</li>
<li>Assist with responding to model validation, regulatory or other oversight requests, including exam findings or issues. Adhere to and follow model governance standards</li>
<li>Support the development of new models or enhancements to existing models</li>
<li>Aid management of models through their lifecycle, from development phase through to implementation into production and outline enhancements for evaluation and future model releases. Meet project timelines, engage in ongoing analysis, find performance thresholds, manage model version control, performance assessments, seek out opportunities for process and model improvements, collaborate on model re-calibrations, and re-fits when business dynamics change</li>
<li>Collaborate with other cross functional teams &ndash; Forecasting an, Reserve and Stress Testing/Capital Management teams, Model Development, Data Governance, Finance, Collections and Controllership</li>
<li>Perform other duties and/or special projects as assigned</li>
</ul>Qualifications/Requirements:
<ul><li>Bachelor's degree with quantitative underpinning (i.e., Data Science, Computer Science, Risk, Accounting, Business, Economics, Finance, Mathematics, Statistics, Engineering) and 5+ years of experience in Programming / Analytics ideally in support of Risk, Credit, Finance, Accounting, Consumer Lending, or other relevant professional experience or in lieu of degree 9+ years of experience in Risk, Credit, Finance, Accounting or Consumer Lending</li>
<li>5+ years&rsquo; experience demonstrating strong programing skills in SQL, Python, Spark with. Proven hands-on experience utilizing using SQL, Python, Spark, Linux, to perform statistical analysis, query relational databases, and manage large amounts of data</li>
<li>Ability and flexibility to travel for business as required</li>
</ul>Desired Characteristics:
<ul><li>Excellent time management with ability to manage multiple competing initiatives and deliver results within deadlines with accuracy and attention to detail</li>
<li>Experience in process improvement, project management or change management</li>
<li>Familiarity with Model Governance trends/developments across the banking sector, especially as related to credit card or consumer lending (SR11-7)</li>
<li>Strong communication skills to facilitate complex discussions in productive and collaborative manner</li>
<li>Positive mindset under tight timelines and critical deliverables</li>
<li>Experience with Linux, HDFS and AWS to collaborate and operate in a cloud computing environment</li>
</ul>Grade/Level: 09
The salary range for this position is 85,000.00 - 140,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance.
Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge.
Salaries are adjusted according to market in CA, NY Metro and Seattle.
Our Way of Working:
We&rsquo;re proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices. You will be required to commute to your nearest Hub (either virtual or physical) for in-person engagement activities such as regular business or team meetings, training and culture events.
<ul><li>Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences.</li></ul>
Eligibility Requirements:
<ul><li>You must be 18 years or older</li>
<li>You must have a high school diploma or equivalent</li>
<li>You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process</li>
<li>You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.</li>
<li>New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months&rsquo; time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months&rsquo; time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don&rsquo;t meet the time in position or performance expectations).</li>
</ul>Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Our Commitment:
When you join us, you&rsquo;ll be part of an inclusive culture where your individual skills, experience, and voice are not only heard &ndash; but valued. Together, we&rsquo;re building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow.
This starts when you choose to for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We&rsquo;re proud to have an award-winning culture for all.
Reasonable Accommodation Notice:
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to<ul><li> for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.</li>
<li>If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627. Representatives are available from 8am &ndash; 5pm Monday to Friday, Central Standard Time</li>
</ul>Job Family Group:
Credit</div></div></div></div>

Senior Analyst, Credit Operations Modeling

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