Rates Trading Strategies - Quantitative Trader - Associate or Vice President

JPMorgan Chase & Co.; London; On-site; GBP 70,000 - 110,000; Full time

Job summary

A leading financial institution is seeking a Quantitative Trader to join their Rates Trading Strategies team in London. This role involves researching and implementing quantitative trading strategies with a focus on risk management. The successful candidate will collaborate closely with multiple teams to deliver effective trading systems in a dynamic environment.

Qualifications

• Advanced degree in relevant fields required.
• Strong programming skills in Python or Java essential.
• Proven experience in quantitative trading with track record.

Responsibilities

• Conduct in-depth research of systematic alpha opportunities.
• Develop and implement quantitative trading models and algorithms.
• Collaborate with technology teams to maintain robust trading systems.

Skills

Programming skills

Statistical modelling

Machine learning

Problem-solving

Analytical skills

Education

Advanced degree in mathematics, statistics, or computer science

Tools

Python

Java

KDB

SQL

Job description

Social network you want to login/join with:

Rates Trading Strategies - Quantitative Trader - Associate or Vice President, London

col-narrow-left

Client:

Location:

London, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Reference:

645c12888065

Job Views:

54

Posted:

24.06.2025

Expiry Date:

08.08.2025

col-wide

Job Description:

The team is tasked with researching and delivering systematic, quantitative trading strategies, while maintaining correct risk and maximizing returns.

Job summary

As an Associate or Vice President within the Rates Trading Strategies team, you will research, develop, test, and implement quantitative trading strategies, with a focus on risk management and return maximization on linear Interest Rates products (Government Bonds, IR Swaps).

You will be responsible for collaborating with Quantitative Research, Voice Trading and Technology to deliver these strategies to production, and with the wider team to integrate them within a portfolio of strategies, in a fast-paced, results-orientated environment.

Job Responsibilities

• Conduct in-depth research of systematic alpha opportunities
• Develop and implement quantitative trading models, algorithms, and strategies
• Back-test and optimize trading strategies using rigorous analysis
• Originate innovative trading strategies in collaboration with the voice trading desks
• Collaborate with the technology teams to build and maintain robust trading systems
• Deliver an end-to-end product, from the idea to real-time trading

Required qualifications, capabilities, and skills

• You have an advanced degree (or equivalent) in mathematics, statistics, or computer science.
• You demonstrate strong programming skills in Python, Java, or similar languages.
• You have hands-on experience processing with large tick datasets and research at scale.
• You demonstrate in-depth knowledge of statistical modelling and inference, machine learning, and optimization techniques.
• You have proven experience in quantitative trading with a demonstrable track record.
• You have an excellent problem-solving and analytical skills.
• You have ability to work independently and as part of a team.

Preferred qualifications, capabilities, and skills

• You have experience with high-frequency trading, electronic trading or algorithmic trading.
• You demonstrate knowledge of database systems (KDB, SQL)
• You have outstanding communication skills
• You have experience working collaboratively on common codebases using git

This role encompasses the performance of UK regulated activity. The successful candidate will therefore be subject to meeting UK regulatory requirements in the assessment of fitness, propriety, knowledge and competence (as assessed by the Firm) and (where appropriate) approval by the UK Financial Conduct Authority and/or the Prudential Regulation Authority to carry out such activities.