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

Nominate & Attend

Quantitative Developer - Risk & Portfolio Analytics | London- Leading Global Hedge Fund

eFinancialCareers
Greater London
5 days ago
Create job alert

Responsibilities

:
Build scalable simulations and "what if" scenario engines for portfolio risk analysis Develop optimization tools for risk dposition and portfolio rebalancing Enhance and maintain Python-based risk models and analytics libraries Support full revaluation pricing models and risk calculations across asset classes Partner with risk and front-office teams to deliver production-grade solutions
Hard Requirements:
Strong programming skills in Python; experience with other languages is a plus Proven experience with financial risk systems or portfolio optimization tools Deep understanding of pricing, risk modelling, and front-office trade lifecycle Ability to build and deploy quantitative models in production environments Bachelor's or Master's inputer Science, Engineering, Mathematics, or a related field. PhD is a plus.

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 think you're a good match for the role and would like further info, please contact:

Ali Wilson

(+44)
linkedin/in/alexander-wilson-050

Job ID OhwOQLmy2hDq

Related Jobs

View all jobs

Quantitative Developer

Quantitative Developer

Quantitative Developer - Assistant Portfolio Manager

Quantitative Developer - C++ Infrastructure for Quant Analytics

Quantitative Developer (AI)

Quantitative Developer (HFT - New Desk - Not Tower) (London)

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.