Quantitative Trading & Research – Cash Equities Program Trading AAO Quantitative Research – Associate or Vice President

Testing Site - JPMC; Greater London; On-site; GBP 120,000 - 170,000; Full time

Job summary

J.P. Morgan's Quantitative Research team in Cash Equities Analytics, Automation and Optimization seeks individuals to build analytics and data-driven processes that automate and optimize trading quantitatively, especially in delta one synthetics trading.

You will work with trading to apply data science methods, develop risk factors, and implement portfolio-focused strategies. The role covers idea generation through production, coupling research with practical deployment, and close collaboration

Qualifications

• You have degree in a quantitative field (or equivalent) in Mathematics, Physics, Statistics, Economics
• You have excellent communication skills, both oral and written
• You demonstrate entrepreneurial spirit and passion for data-driven decision making
• You demonstrate exceptional analytical, quantitative and problem-solving skills, and ability to communicate complex research clearly
• Your demonstrate robust testing and verification practice
• You demonstrate strong software design and development skills using Python, C++ or Java
• You have ability to manipulate and analyse complex, large scale, high-dimensional data from varying sources, understanding trading data
• You demonstrate experience in finance: electronic trading, portfolio analytics, trading strategies, derivatives pricing and risk management

Responsibilities

• Work closely with program trading to build analytics (single instrument and portfolio) and data-driven processes that automate and optimize trading quantitatively, with special focus on index rebalance and portfolio risk trading
• Contribute from idea generation to production implementation: perform research, design prototype, implement analytics and strategies, support their daily usage and analyse their performance
• Develop risk factors to analyse performances at single stock and portfolio level, using quantitative features, statistics, and machine learning
• Work with the business to centralise risk and devise hedging strategies accordingly

Skills

Python

C++

Java

KDB/q

Analytical skills

Communication skills

Testing & verification

Data analysis

Finance knowledge

Education

Bachelor's degree in Mathematics/Physics/Statistics/Economics or equivalent

Job description

If you are passionate, curious and ready to make an impact, we are looking for you.

Quantitative skills are at the core of J.P. Morgan’s capabilities, contributing critically to the competitiveness and innovative power of our firm. The team's mission is to develop cutting-edge next generation analytics and processes to transform, automate and improve the trading operations of our cash equities, ETF, and Program Trading business. We work closely with traders to develop data-driven solutions such as risk models, portfolio optimization, trading signals, flow categorization and clustering, custom basket solutions and to ultimately combine them into automated trading processes.

Job summary:

As an Associate or Vice President inQuantitative Research,Cash Equities Analytics, Automation and Optimization team, you will work closely with trading to build analyticsand data-driven processes that automate and optimize trading quantitatively, with special focus on delta one synthetics trading. We are seeking individuals passionate in areas such as electronic trading, optimization, computational statistics, and applied mathematics, with a keen interest to apply these techniques to financial markets and have a transformational impact on the business.

Job responsibilities

• Work closely with program trading to build analytics (single instrument and portfolio) and data-driven processes that automate and optimize trading quantitatively, with special focus on index rebalance and portfolio risk trading.
• Contribute from idea generation to production implementation: perform research, design prototype, implement analytics and strategies, support their daily usage and analyse their performance.
• Develop risk factors to analyse performances at single stock and portfolio level, using quantitative features, statistics, and machine learning.
• Work with the business to centralise risk and devise hedging strategies accordingly.

Required qualifications, capabilities, and skills

• You have degree in a quantitative field (or equivalent) in Mathematics, Physics, Statistics, Economics
• You have excellent communication skills, both oral and written
• You demonstrate entrepreneurial spirit and passion for spreading a culture of change towards data-driven decision making
• You demonstrate exceptional analytical, quantitative and problem-solving skills, as well as the ability to communicate complex research in a clear and precise manner
• Your demonstrate robust testing and verification practice
• You demonstrate strong software design and development skills using Python, C++ or Java
• You have ability to manipulate and analyse complex, large scale, high-dimensionality data from varying sources, understanding and working knowledge of trading data and how to manage it
• You demonstrate 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, option trading), derivatives pricing and risk management

Preferred qualifications, capabilities, and skills

• You demonstrate KDB/q experience