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

Lead Data Engineer

Azure Data Analyst

Flight Data Analyst

Data Analyst - Electronics Manufacturing

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.

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.

Jobs

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.

🍪 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.