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

Nominate & Attend

Director of Quantitative Modelling & Analytics (Consultancy)

InterQuest Group
City of London
1 week ago
Applications closed

Related Jobs

View all jobs

Director of Quantitative Modelling -Analytics (Consulting)

Quantitative Research - Energy - Vice President or Executive Director

Associate Director - Quantitative Modelling

Associate Director - Quantitative Modelling

Quantitative Modelling Director

Quantitative Modelling Director

🚀 Director of Quantitative Modelling & Analytics (Consultancy) Hybrid/London 🚀

£120,000 – £140,000 per year (dependant on experience) + benefits


We’re seeking adynamic, collaborative leaderto build our Quants/Modelling practice—driving innovation in financial modelling, audit support, and regulatory projects.


💼 What You’ll Own:

  • Build & leada Quants team—hire, mentor, train 🤝
  • Shape advanced models (regression, time‑series, Monte Carlo) using R/Python/SAS
  • Support Audit functions, reviewing ECL and finance models
  • Develop tools, methodologies & processes
  • Drive business growth—proposals, pitches & client engagement
  • Foster stakeholder relationships and explore new opportunities 🌱


👤 About You:

  • Advanced degree in a quantitative field
  • Proven leadership experience in professional services quant/modelling or in‑house role (banking/lending preferred with audit experience) building ECL models
  • Expert in model development & coding (R, Python, SAS + Excel)
  • Skilled at communicating complex concepts in plain English
  • Experienced in managing teams and large-scale projects
  • Business-savvy, resilient, accountable


✨ Nice-to-Haves:

  • Accountancy/finance qualification (ACA/ACCA/CFA/FRM/ACT)
  • IFRS9/CECL/ECL modelling experience
  • Familiarity with Power BI, SQL, Alteryx, VBA


🌟 Why Join Us?

  • Hybrid work—3 days in-office/client site
  • Clear path for mentorship, professional growth & impact
  • Trulyinclusive, supportive culturewith strong DE&I commitment ❤️
  • Competitive benefits tailored for work/life
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.