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

Apply Now

Rates Quantitative Strategist

Selby Jennings
London
11 months ago
Applications closed

Related Jobs

View all jobs

Asset Data Engineer

Finance Data Analyst

Data Analyst

Lead Data Engineer

Azure Data Analyst

Data Engineer

Intro:

Our client a leading multi-strat hedgefunds are looking for a quantitative strategist in the build out of their rates group. The team lead has over 18 years' experience working for Tier 1 Investment Banks and three world renowned hedge funds.

They are looking to bring in a junior profile who has between 1-5 years' experience in the space, to work closely alongside the team lead, with a focus on developing brand new pricing models, pay offs and approaches around both linear and exotic rates products.

You will also be working alongside both systematic and discretionary trading teams to provide ad-hoc tools building, systematic strategy research and data analytics for the respective PM's within these teams.

Responsibilities:

  • Design and develop user-friendly tools (e.g., in Excel or Python) that serve as interfaces for internal analytics models.
  • Build, test, and maintain custom libraries for derivatives modeling, using C++ or Python.
  • Work with Bloomberg and other external data APIs to retrieve financial information.
  • Conduct empirical modeling of financial securities, leveraging data science and statistical learning techniques.
  • Provide quantitative modeling support to portfolio management teams, addressing any relevant issues.

Qualifications:

  • 1 to 5 years of experience in financial quantitative analysis, preferably in a front office or buy-side role.
  • Advanced degree (MSc or PhD) in a STEM field from a top-tier university.
  • Strong intellectual curiosity, with a focus on data science and AI.
  • In-depth knowledge of front office pricing and risk models across various asset classes.
  • Proven experience in developing financial derivatives models across different asset classes.
  • Expertise in data-driven and statistical modeling of financial instruments.
  • Experience working closely with front office traders, quantitative analysts, and risk managers.
  • Proficient in professional software development using C++, Python, and Excel.
  • Quick to grasp new concepts, models, and technologies.

If you have the relevant skills and are interested in applying, please feel free to send your CV

QW1vLlBhd2FyLjAyNzQxLmVmaUBzZWxieWxvbmRvbi5hcGxpdHJhay5jb20.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.

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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.