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

Apply Now

XVA Quantitative Analyst

Selby Jennings
Rugby
11 months ago
Applications closed

Introduction

We are seeking a highly skilled Quantitative Analyst to join our Front Office team at a leading Tier 1 US bank, based in London, with a primary focus on XVA cross-asset models. In this VP-level role, you will collaborate directly with the trading desk and play a role in building a number of new models. As part of a dynamic team of around 10 experts, you will drive the development and enhancement of pricing models for a wide range of products, including swaps, bonds, and FX forwards.

The team are known for innovative approaches to computing XVA and are currently working on a number of machine learning -based projects. Ideally this individual will also be able to mentor and teach more junior members of the team.

Responsibilities

  • Develop and implement XVA and models, ensuring alignment with the global C++ analytics library.
  • Design and implement calculation methodologies in C++, testing and backtesting models on historical data.
  • Provide quantitative support to the Front Office Rates team, handling curve bootstrapping and construction for major and minor currencies.
  • Collaborate with trading, risk, and IT teams to explain model calculations clearly.

Requirements

  • Proficiency in C++ and Python, with experience in quantitative finance, numerical methods, and preferably curve bootstrapping.
  • Strong math skills in probability, statistics, optimization, and econometrics.
  • Excellent communication skills to work with global teams and explain complex models to non-technical stakeholders.
  • Master's or PhD in a STEM field from a top institution, with expertise in financial derivatives.

YWxpY2Uuc3RldWFydGZlaWxkaW5nLjc5MTU1LmVmaUBzZWxieWxvbmRvbi5hcGxpdHJhay5jb20.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

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

Jobs

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

🍪 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.