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

Nominate & Attend

Quantitative Analyst

Broadridge
London
2 weeks ago
Create job alert

At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you’re passionate about developing your career, while helping others along the way, come join the Broadridge team.

Broadridge Asset Management Solutions (BAMS) is seeking aQuantitative Analystto support the expansion of Risk and Modeling functionality within the BAMS suite. Specifically, you will provide guidance on model validation across a wide range of asset classes and will support the design and implementation of a variety of risk management functions including stress testing and Value-at-Risk .

In this role, you will support the modeling and risk product strategy, business analysis, development lifecycle, and specifications. Y ou will also be heavily involved with sales, marketing, implementation, and quality assurance initiatives within the context of their subject-matter expertise.

Responsibilities:

  • Work with clients analyzing and implementing their risk requirements ( e.g. model selection, scenario design, risk views) and streamlining their workflow.

  • Work with the Product Management team in building custom solutions for risk and valuation modeling projects.

  • Sit on the Risk Development Panel to prioritize and champion product development and enhancement.

  • Provide level 2 support for clients in risk modeling and pricing valuation.

  • Be comfortable working with traders and quants in demanding environments on model validation projects.

Required knowledge and skills:

  • An advanced degree in a quantitative discipline (mathematics, statistics, financial engineering, etc)

  • 0-5 years of experience in financial market modeling or risk management (will consider more experienced candidates)

  • Solid valuation knowledge of various instrument types including equity derivatives, credit derivatives, rates, and fixed-income products.

  • In-depth knowledge of valuation models and portfolio risk strategies

Additional desirable knowledge and skills:

  • Familiarity with popular model libraries such as Numerix , FinCad , QuantLib

  • Working knowledge of popular trading risk systems such as Imagine, Front Arena, RiskMetrics, Calypso, Murex

  • Working knowledge of trading strategies, accounting, and portfolio management principles

  • Familiarity with various types and sources of market data

  • Financial Risk Management Certification or CFA

#LI-Onsite

#LI-LM1

We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company—and ultimately a community—that recognizes and celebrates everyone’s unique perspective.


#J-18808-Ljbffr

Related Jobs

View all jobs

Quantitative Analyst

Quantitative Analyst

Quantitative Analyst (Commodities)

Quantitative Analyst (Commodities)

Quantitative Analyst (Sports Trading)

Quantitative Analyst

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.