Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Quant Developer (Python/R) - Equity Models- Global Hedge Fund

Oxford Knight
London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Quant/Risk Professional - Machine Learning, Surveillance

Machine Learning Quant Engineer - Investment banking/ XVA

Senior Quant/Risk Professional - Machine Learning, Surveillance

Machine Learning Quant Engineer - Investment Banking

Senior Quant/Risk Professional - Machine Learning, Surveillance

Quantitative Data Engineer

Salary:up to ~£250k annual TC

Experience:Minimum 5 years; also open to more senior candidates.

Fabulous opportunity for a talented QD to join one of the world's most prestigious and successful hedge funds. Looking for an experienced engineer with a solid programming background in Python and/or R and outstanding communication skills, comfortable facing off to the business and liaising directly with Portfolio Managers and traders.

This role is focused primarily on the design and development of equity portfolio analytics frameworks, including MSCI Barra equity factor risk models. Working closely with the portfolio research team, you'll build the necessary infrastructure for optimal extraction, transformation and loading of data from multiple sources using SQL and 'big data' technologies. Identifying improvements and designing solutions - automation, optimization, greater scalability - is second nature to you.

Skills and Experience Required

  • 5+ years' professional development experience in a buy-side or sell-side firm
  • Exceptional Python and/or R programming skills
  • Strong working knowledge of software design (algorithms and object-oriented design)
  • Excellent communication skills at all levels of technical ability


Desirable:

  • Experience with Barra and proprietary risk models beneficial
  • Advanced working knowledge of SQL
  • Experience with 'big data' analytics engines, e.g. Apache Spark
  • Equities markets experience would be ideal


Benefits & Incentives

  • Strong salary + bonuses
  • Collaborative culture and an exciting place to work
  • Generous benefits package



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.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.