JPMorgan Asset & Wealth Management Risk is on the hunt for a dynamic data science professional to join our Risk Analytics team. As part of the Asset & Wealth Management Risk Management team, we are a diverse group of innovative, risk-oriented professionals. We develop risk measurement methodologies, perform analytics calculations, and manage the Asset & Wealth Management Risk System (Newton). We're seeking an associate to collaborate with senior team members, introducing and scaling data-promoted risk analytics solutions. Join us and contribute to a global organization that is reshaping the asset and wealth management world.

As a Risk Management - Asset Wealth - Risk Analytics – Data Scientist, Associate within the Asset Wealth Management Risk Management team, you will be a part of a diverse group of innovative quantitative and market risk-oriented professionals. You will have the opportunity to develop and maintain risk measurement methodologies, perform analytics calculations, and contribute to the development of the Asset Wealth Management Risk System (Newton). Your role will involve using data science and machine learning techniques to introduce and scale up data-promoted risk analytics solutions, transforming our operations and business processes. This role offers a vibrant and inclusive workplace that encourages open dialogue and professional growth.

Job responsibilities

• Work with peers and stakeholders to identify use cases and opportunities for Data Science to create value. Use your knowledge of Computer Science, Statistics, Mathematics and Data Science techniques to provide further insights into security and portfolio risk analytics.

• Lead continuous improvements in our adopted AI/ML and statistical technics used in our data and analytics validation process.

• Collaborate, design, and deliver solutions that are flexible and scalable using the firm’s approved new technologies and tools, such as AI and LLMs. Use citizen developer journey platform to find efficiencies in our processes.

• Contribute to the analysis of new and large data sets and assist with their onboarding, following our best practice data model and architecture using big data platforms.

• Contribute to the research and enhancement of the risk methodology for AWM Risk Analytics. The methodology covers sensitivity, stress, VaR, factor modeling, and Lending Value pricing for investment (market), counterparty (credit), and liquidity risk.

Required qualifications, capabilities, and skills

• 2+ years experience as a Data Scientist or in an adjacent quantitative role.

• A quantitative, technically proficient individual who is detail-oriented, able to multi-task, and work independently.

• Effective communication skills to clearly explain complex concepts.

• A strong understanding of statistical models, applied AI/ML techniques, and a practical problem-solving mindset. 

• Knowledge in modular programming in SQL, Python, ML, AWS Sagemaker, TensorFlow, Bitbucket, GitHub or alike.

Preferred qualifications, capabilities, and skills

• Practical experience in financial markets in a quantitative analysis/research role within Risk Management, a Front Office role, or equivalent is a plus.

• Knowledge of asset pricing, VaR backtesting techniques, and model performance testing is a plus.

• A degree in a quantitative or technology field (Economics, Maths/Statistics, Engineering, Computer Science or equivalent) is preferred.