National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Head of Quantitative Risk Analytics (London)

JR United Kingdom
London
4 weeks ago
Applications closed

Related Jobs

View all jobs

Analyst, Quantitative Analyst - Risk Analytics Group

Quantitative Analyst

Quantitative Analyst (Lead)

Data Scientist - Fraud

Graduate Data Scientist - Fraud

Data Scientist - Fraud

Social network you want to login/join with:

Head of Quantitative Risk Analytics, london

col-narrow-left

Client:

Cornwallis Elt

Location:

london, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

2

Posted:

07.06.2025

Expiry Date:

22.07.2025

col-wide

Job Description:

Head of Quantitative Risk Analytics – Quantitative Finance, Counterparty Credit Risk, Model Development, Model Validation, Risk Analysis, Python, R, SQL, Numerix, - City of London, Permanent

A senior Quantitative Specialist is sought after by a Global Investment Bank to take ownership of their European Counterparty Credit Risk (CRR) modelling function, as part of the wider Risk Analytics group. In this role, you will be responsible for managing the end-to-end modelling lifecycle, being responsible for methodology, model design and development, through to implementation and validation, helping support local Counterparty Credit Risk Management.

This will be a multi-functional role, with responsibility for building and maintaining the modelling infrastructure and ecosystem, as well as undertaking quantitative research to keep models up to date ensuring the business have access to accurate analytics.

You will work closely with the business and other quantitative specialists for a cohesive model development process, including the implementation of highly accessible tools and dashboards for users to effectively undertake risk analysis.

To be successful, you will demonstrate:

  • Minimum of a Master’s degree in the quantitative field, preferably having achieved a PhD
  • A strong background in Quantitative Analysis and Model Development, with an in-depth understanding or pricing and risk calculations, particularly for Counterparty Credit Risk
  • Technical expertise in Python, R and SQL
  • Knowledge of integrating quantitative libraries and models into IT systems
  • Excellent communication skills and a collaborative mindset to ensure effective partnership with the business and other Quantitative specialists

If you are a Quantitative Specialist with SME knowledge in Counterparty Credit Risk modelling looking for your next challenge with a rapidly expanding Investment Bank, please do apply!


#J-18808-Ljbffr

National AI Awards 2025

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.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.