Quantitative Research

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, Market 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 work closely with members of the Markets Treasury team and CIB Technology. 

The 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. You 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.

Our team's mission is to develop analytics for the Commercial & Investment Bank (CIB) Markets Treasury group. The team delivers data-driven solutions to complex challenges related to the management and reporting of liquidity, funding, and capital. 

Job Responsibilities: 
 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. Specifically, you will have the opportunity to:

• Design frameworks and build applications for data analytics
• Conduct data analysis and identify or explain key factors within large sets of financial data
• Develop end-to-end solutions and user tools that provide valuable analytics to stakeholders
• Collaborate with the business and senior leaders to identify ways to improve financial resource consumption and quantify potential impact
• Partner with technology teams to scale and develop new analytical frameworks and optimization strategies
• Work closely with partners in Asia-Pacific and New York

Required qualifications, capabilities, and skills: 

• You hold an advanced degree (Master's or PhD)  or equivalent in a quantitative field: Mathematics, Computer Science, Physics, Engineering 
• You have a strong programming background with high proficiency in Python
• You demonstrate strong quantitative and problem-solving skills
• 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
• You quickly grasp business concepts outside immediate area of expertise and adapt to rapidly changing business needs
• You think strategically and creatively when faced with problems and opportunities. You always look for new ways of doing things
• A mindset of robust system and solution design and implementation, including diligent testing and verification practices

Preferred qualifications, capabilities, and skills:

• You demonstrate knowledge of derivatives pricing theory, trading algorithms, and/or financial regulations
• You have experience designing, building, and deploying analytical data products 
• You demonstrate understanding of a bank's balance sheet and / or have worked with financial optimization problems 
• You understand the different types of financial risk and you can discuss in detail ways of managing these risks
• Knowledge of options pricing theory, trading algorithms or financial regulations
• Experience with robust testing and verification practices