Quant Modeling Lead - Python210739660T08:37:00+00:00LondonPredictive ScienceFull timeAbout the RoleAs a Python Developer within the Wholesale Credit Quantitative Research Core team, you will play a central role in building and maintaining Nova - the firm's strategic platform for Loan Loss Forecasting models. Nova is built within JPMorgan's Athena platform and underpins critical regulatory and business processes including CECL, IFRS 9, CCAR, ICAAP, and Risk Appetite forecasting.You will be responsible for designing and implementing the core frameworks and libraries that model developers rely on to build, test, and deploy forecasting models at scale. This is a hands-on engineering role that demands strong software craftsmanship, quantitative aptitude, and the ability to translate partially defined business needs into robust, production-quality systems. You will work closely with quantitative researchers, model governance, technology partners, and wholesale credit business stakeholders.Job ResponsibilitiesDesign, build, and maintain the core Python frameworks and libraries that power Nova, ensuring they are performant, extensible, and easy for model developers to integrate withDevelop and enhance the calculation engine and related tooling for loan loss forecasting models, supporting CECL, IFRS 9, CCAR, ICAAP, and Risk Appetite requirementsImplement high-performance numerical algorithms using Python scientific computing libraries including NumPy, Pandas, and DuckDBChampion test-driven development practices across the team, building and maintaining comprehensive unit, integration, and regression test suites to ensure framework reliabilityTake partially specified problems and business needs from stakeholders and translate them into concrete technical requirements, designs, and implementation plansLeverage LLM-based coding tools (e.g., GitHub Copilot, Claude) to accelerate development velocity, drive code quality, and maximize team productivityPerform peer code reviews with a focus on correctness, performance, maintainability, and adherence to team standardsPrepare clear and thorough technical documentation covering design decisions, implementation details, and testing strategiesPartner with model developers, product and business stakeholders during the implementation, testing, and operationalization of forecasting processesPresent regular updates on development progress, technical decisions, and platform roadmap to senior management and cross-functional stakeholdersInvestigate and debug counter-intuitive observations in model forecasts, performing root-cause analysis at the framework and data levelRequired Qualifications, Capabilities, and SkillsBachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative disciplineMinimum 5 years of experience in quantitative software development within a financial services environment (e.g., banking, asset management, hedge fund, fintech)Advanced proficiency in Python with deep experience in object-oriented design, design patterns, and building production-grade frameworks and librariesStrong working knowledge of NumPy and Pandas for numerical computing and data manipulationDemonstrated experience with test-driven development and building systems with rigorous unit, integration, and regression test coverage (e.g., pytest, unittest)Strong analytical, quantitative, and problem-solving skills with the ability to reason about complex model behavior and data flowsExcellent written and verbal communication skills, with the confidence to present technical concepts to both technical and non-technical audiencesProven ability to operate as a self-starter: taking ambiguous or partially specified problems and driving them through to well-defined technical solutionsProficiency with LLM-based coding tools and a track record of leveraging AI assistants to meaningfully increase development productivity and code qualityPreferred Qualifications, Capabilities, and SkillsExperience with DuckDB or similar in-process analytical databases for high-performance data querying and transformationKnowledge of credit risk concepts including Wholesale Credit, CCAR/DFAST stress testing, CECL/IFRS 9 allowance, and Basel III regulatory capitalExperience working with or building upon large-scale analytics platforms (e.g., JPMorgan Athena or comparable quantitative computing environments)Familiarity with distributed computing frameworks and techniques for scaling numerical workloadsKnowledge of statistical modeling, Monte Carlo simulation, and time-series forecasting methodologiesAbility to work effectively with large datasets and practical knowledge of SQL and database systemsProven ability to build collaborative relationships with cross-functional partners including model developers, business stakeholders, and technology teamsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.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.J.P. Morgan's Commercial & 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 & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
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