Quantitative Research - Cash Equities Analytics Automation and Optimization (AAO) - Associate o[...]

JPMorgan Chase & Co.; City of Westminster; On-site; GBP 60,000 - 90,000; Full time

Job summary

A global leader in financial services is seeking an Associate or Vice President in Quantitative Research to optimize trading processes and manage risk. This role demands a graduate degree in a quantitative field and strong analytical skills. Responsibilities include building analytics, developing trading models, and collaborating with trading teams. Ideal candidates have 1 to 3 years of finance experience and software development skills in Python. The position is located in the City of Westminster, UK.

Qualifications

• Graduate degree (or equivalent) in Mathematics, Physics, Statistics, Economics, or similar; PhD preferred.
• Exceptional analytical, quantitative and problem-solving skills.
• Excellent oral and written communication skills.
• Entrepreneurial spirit and passion for data-driven decision making.
• Strong software design and development skills using Python.
• Ability to analyze complex, large scale data from various sources.
• 1 to 3 years' experience in finance: electronic trading, portfolio analytics.

Responsibilities

• Work closely with trading to build analytics and data-driven processes.
• Contribute from idea generation to production implementation.
• Develop models for systematic market making.
• Manage inventory and devise execution strategies.
• Work with business to develop signals.

Skills

Quantitative analysis

Communication skills

Software development using Python

Problem-solving

Entrepreneurial spirit

Education

Graduate degree in a quantitative field

PhD preferred

Tools

KDB/Q

Job description

As an Associate or Vice President in Quantitative Research, Cash Equities Analytics, Automation and Optimization team, you will have the opportunity to utilize your interest in areas such as systematic trading, market making, inventory management, computational statistics, and applied mathematics, with a keen interest to apply these techniques to financial markets and have a transformational impact on the business. We work closely with traders to develop data-driven solutions such as risk models, portfolio construction, trading signals, flow categorization and clustering, custom basket solutions - and to ultimately combine them into automated trading processes.

Responsibilities

• Work closely with trading to build analytics (single instrument and portfolio) and data-driven processes that automate and optimize trading quantitatively, with special focus on Central Risk Book.
• Contribute from idea generation to production implementation: perform research, design prototypes, implement analytics and strategies, support their daily usage and analyze performance.
• Develop models for systematic market making, based on quantitative features and historic behavior using statistics, machine learning or heuristics.
• Work with the business to recycle risk, manage inventory and devise executions and hedging strategies accordingly.
• Work with the business to develop signals and how to leverage them.

Qualifications

• Graduate degree (or equivalent) in a quantitative field (Mathematics, Physics, Statistics, Economics, or similar); PhD preferred.
• Exceptional analytical, quantitative and problem‑solving skills, as well as the ability to communicate complex research in a clear and precise manner.
• Excellent communication skills, both oral and written.
• Entrepreneurial spirit and passion for spreading a culture of change toward data‑driven decision making.
• Strategic and creative thinking when faced with problems and opportunities.
• Strong software design and development skills using Python; knowledge of KDB/Q is a plus but not a strict requirement.
• Ability to manipulate and analyze complex, large scale, high‑dimensionality data from varying sources, understanding and working knowledge of trading data and how to manage it; KDB/q experience is a plus.
• 1 to 3 years' experience in finance: electronic trading, portfolio analytics (risk modelling, portfolio optimization, synthetic trading, ETF trading), trading strategies (high to low frequency: market making, statistical arbitrage), market making.
• Demonstrated expertise in KDB/q (preferred).

About the Company

J.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. 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.