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

Apply Now

▷ (Immediate Start) Senior Risk Quantitative Developer,Systematic Hedge Fund

Winston Fox
London
11 months ago
Applications closed

Related Jobs

View all jobs

▷ 3 Days Left: Senior Data Engineer Python AWS...

▷ (Immediate Start) Senior Data Engineer...

▷ Urgent Search: Data Engineer...

▷ (Immediate Start) Lead Data Scientist - Remote...

▷ [Only 24h Left] Data Analyst - AI Trainer...

▷ [Urgent] Senior Data Engineer...

Senior Quantitative Developer with expertise inPython, sought to take ownership of a brand-new centralised Risk,P&L and Pricing platform for a multi-award-winning SystematicHedge Fund. The Firm - Early innovators in the Quantitative Tradingarena and today with a 20+ year track-record of outsize returns toinvestors. - Superb collegiate working culture with market-leadingemployee tenure and a focus on continuous learning. - Based inCentral West End, with a three-day-per-week in the office policy.The Role - Senior Quantitative Developer with Team Leadresponsibility for one QD who has recently moved internally. -Leading the establishment of a new Quant Investment Services (QIS)team, a brand-new centralised, cohesive, and consistent structure,with ownership of all Risk, P&L, Performance, and Pricingfunctionality, all of which has to-date been organically managedand systemised on a per-Investment team basis. Backtesting is alsolikely to be added at a later date. - The QIS team will work withthe Investment teams to understand and migrate all MATLAB-basedfunctionality into a single, centralised MATLAB system, thenrearchitecting and rewriting into a modern Python platform. ThePerson - 5-10+ years’ relevant experience, with very strongtechnical skills in Python, and open to initially work with MATLAB.- Relevant experience in a Buyside firm / Hedge Fund, workingacross multiple Traded Products and Strategies, would be ideal. -Good understanding of Risk, P&L and/or Pricing preferred,especially in relation to Systematic Trading. - Passion forbuilding highly robust, fault-tolerant and reliable systems, withexcellent attention to detail. - Superb analytical, collaboration,and communication skills. The Remuneration - Base salary of ideallyaround £120-140K + excellent Annual Bonus + profit-share + MIS. -25 days annual leave, with options to buy/sell, and with allowanceincreasing with tenure. - Full healthcare including spouse anddependents + life insurance. - Comprehensive social calendarincluding charity and sports. This is an excellent opportunity totake ownership of a brand-new core platform for one of the originalSystematic Investment Managers. Please note, our client iscurrently unable to provide Visa Sponsorship, therefore applicantsmust already be eligible to work in the UK.

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.

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.

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.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.