Global Rates - Automated Trading Strategies - Fixed Income Financing - Associate

JPMorgan Chase & Co.
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Science Analyst - Shipping

Benefit Risk Management Center of Excellence Data Scientist

R&D Data Science Degree Apprenticeship, UK, 2026

R&D Data Science Degree Apprenticeship, UK, 2026

R&D Data Science Degree Apprenticeship, UK, 2026

Manager, Data Science - Shipping

Here's an unique opportunity to join the ATS team in London, where your main focus will be on the dynamic world of Repo markets.

Job summary

As an Associate in Automated Trading Strategies, you will be primarily focusing on Fixed Income Financing (Repo) markets. The Automated Trading Strategies (ATS) group is responsible for systematic trading across FX, Rates, Commodities, and Credit markets, designing and implementing automated pricing, risk management and hedging, and order execution strategies. ATS works closely with other internal parties (voice trading desks, sales, product, and technology) to understand the needs of clients and advance JPMorgan’s market-leading electronic services.

You must be responsible, independent, driven, and able to work in smooth collaboration with the wider team. The environment is fast-paced and challenging. The group is globally distributed so clear written and verbal communication is required. Members of the team are also expected to cover a wide range of responsibilities - spanning trading, quantitative research, and technology—and some on call time will be expected.

Job Responsibilities

Analyze of data to identify patterns and revenue opportunities  Conduct back testing and assessing pricing, risk management and execution strategies Expand the group’s library of modelling, analytics, and automation tools Review trading performance and making data driven decisions Maintain and improve trading software systems and tools Resolve day-to-day trading issues

Required qualifications, capabilities, and skills

You have degree in computer science, math, physics, engineering, or other quantitative fields You have relevant full-time experience You demonstrate strong programming skills in C++/Java or other object-oriented languages You demonstrate good knowledge of statistics and machine learning You have attention to detail, adaptable, driven and collaborative You demonstrate interest in markets and systematic trading

Preferred qualifications, capabilities, and skills

Ability to understand and map data flows across applications and data sources  Prior experience in Rates markets (cash or swaps) Knowledge of order types, L2 market data, and central limit order books Experience with KDB+/q

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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.