Quantitative Research (QR) is an expert quantitative modelling group in J.P. Morgan, as well as a leader in financial engineering, data analytics, statistical modelling and portfolio management. As a global team, QR partners with traders, marketers and risk managers across all products and regions, contributes to sales and client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and appropriate financial risk controls.

Job summary:

As an Associate within Quantitative Research, Data Analytics Markets Treasury team in London, you will play a key role in designing and implementing advanced models to assess risk, as well as developing tools to predict and explain P&L. You will contribute to our strategic agenda to transform the investment bank into a data-driven business, driving change through state-of-the-art AI and machine learning techniques and work closely with members of the Markets Treasury team and CIB Technology.

The team delivers data-driven solutions to complex challenges related to the management and reporting of liquidity, funding, and capital. Our mission is to develop analytics for the Commercial & Investment Bank (CIB) Markets Treasury group. Our work combines classical quantitative finance with modern machine learning techniques to deliver best-in-class analytics for pricing and risk management.

This role offers exposure to large-scale data analytics, the application of AI, automation of reporting processes, and the creation of actionable insights for senior management and cross-functional teams. The successful candidate will collaborate with stakeholders across markets and technology to drive innovative solutions. This role provides a unique opportunity to enhance treasury management practices and support strategic objectives in a fast-paced, evolving market environment.

Job Responsibilities:

• Design efficient, scalable, and usable frameworks with the aim to improve data analytics capabilities for treasury applications

• Conduct data analysis and identify or explain key factors within large sets of financial data

• Partner with technology teams to scale and develop new analytical frameworks and optimization strategies

• Have impact in transforming and modernizing a global investment bank

Required qualifications, capabilities, and skills:

• You hold an advanced degree (Master’s) or equivalent in a quantitative field: Computer Science, Engineering, Mathematics, Physics

• You have an excellent programming skills with high proficiency in Python

• You have experience designing, building, and deploying analytical data products

• You have excellent software, algorithm design, and development skills

• You demonstrate strong quantitative and problem-solving skills

• You have experience with robust testing, and verification practices

• You have markets experience and familiarity with general trading concepts and terminology

• Your excellent communication skills, both verbal and written, can engage partners, and stakeholders on complex and technical topics, which you can explain with exceeding clarity

Preferred qualifications, capabilities, and skills:

• You have experience writing high quality java code

• You demonstrate understanding of a bank’s balance sheet and / or have worked with financial optimization problems in a previous role

• You understand the different types of financial risk and you can discuss in detail ways of managing these risks