National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Python Quantitative Researcher - FX- Multi-Asset Class Systematic Trading

eFinancialCareers
Greater London
1 week ago
Create job alert

Python Quantitative Researcher - FXSalary:totalp can hit £600k-£1 million a year

Client

Research at this leading investment firm is key to continued success: based on rigorous and innovative research, they design and implement systematic,puter-driven trading strategies across multiple liquid asset classes.

Working within a small 'trading pod' as the right-hand person to the Portfolio Manager, you will do systematic macro trading within FX, running both intra-day strategies and building HFT strategies to run passively.

Role

They're looking to add an exceptional Quantitative Researcher with Python experience to their growing London team. You'll be tasked with discovering systematic anomalies in FX markets and identifying & evaluating new datasets. You'll also take on end-to-end development: from generating alpha ideas to strategy backtesting and optimization, through to production implementation.

With lots of project ownership and a collaborative start-up environment, this is a fantastic place to work.

Requirements:

3+ years' experience in a similar role ( systematic alpha research in FX) Strong programming skills Python Advanced degree (MS or PhD) in Maths, or other quantitative fields, from a leading university Excellent grasp of foundations of applied statistics, linear algebra and time series models


Desirable:
Experience developing short-term alpha signals Demonstrated proficiency with large, raw data sources
Benefits:
Market-leading base + bonuses + generous benefits Meritocratic environment working with some of the smartest minds in industry Excellent professional development (tuition assistance) Plenty of opportunity to give back through volunteering & charity work Flexible hybrid working model

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If you feel you're suitable for this role, want to hear about similar positions, or would like help hiring similar developers for yourpany, please send your CV or get in touch.

Richard Allan


linkedin/in/richardallanok/

Job ID ZNVxhSZmO5de

Related Jobs

View all jobs

Python Quantitative Researcher – London

Python Quantitative Researcher – FX

Quantitative Developer (Python)

Senior Quantitative Researcher - Market Impact

Quantitative Researcher – Equity Volatility

Senior Quantitative Researcher – Hedge Fund

National AI Awards 2025

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.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.