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

Apply Now

Rates Quant - Top Buy Side Fund

Anson McCade
London
11 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist III - Experimentation Science (Statistical Modeling)

Data Scientist III - Experimentation Science (Statistical Modeling)

Machine Learning Scientist III – Experimentation Science (Statistical Methodologies)

Senior MLOps Engineer

Data Analyst

Data Analyst

Rates Quant - Top Buy Side Fund

London based

Our client is a global alternative investment fund manager combining relative value and directional trading across global macro asset classes to generate uncorrelated returns. The core portfolio structure of intersecting product verticals is designed to deliver for investors in all market conditions.

This team is responsible for development and maintenance of pricing models, trading tools, risk management tools, and relative value opportunity identification tools. They are also the first line of support to the business when it comes to all the derivatives pricing and risk tools that are used.

Our client is looking for a highly capable and experienced Rates quant with strong mathematical and programming skills. You must have experience in building cutting edge rates trading tools and other analytics, which have been profitable. You must be happy working on all aspects of a quant project from start to finish; understanding the business problem, modelling and solving the resultant maths problem, sourcing any required data, and then coding the production solution.

Requirements:

  • 1st class degree with MA/PhD in a numerate field from a Russell Group University (or equivalent international secondary/tertiary education) + A*/A's at A-Level or equivalent.
  • Experience in building cutting edge Rates trading tools and other analytics, which have been profitable.
  • Excellent maths intuition.
  • An intuitive understanding of derivatives and market knowledge.
  • 3 - 7 years + experience working in the financial services industry, ideally some of this being in Rates.
  • Experience in data analysis using Python based tools.
  • Experience in object-oriented programming in an enterprise-level code base, ideally one of C#, C++ or JAVA.
  • Minimum 2 years' experience of Pricing and Modelling.
  • Knowledge of Machine Learning.
  • Ability to pick up new skills quickly and thrive in fast-paced environments.
  • Good communication skills and a pragmatic problem solver.
  • Ability to work independently and with initiative.
  • Ability and drive to work in a collaborative team environment.

am9obi4zODEzMC5lZmlAYW5zb25tY2NhZGUuYXBsaXRyYWsuY29t.gif

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.

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.

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.