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

Apply Now

Quantitative Analyst

Broadridge Financial Solutions
City of London
5 days ago
Create job alert

Quantitative Analyst page is loaded## Quantitative Analystlocations: London - 12 Arthur Streettime type: Full timeposted on: Posted Todayjob requisition id: JR1077910At 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 a Quantitative Analyst to 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. You 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 strategiesAdditional 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-LM1We 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.Use of AI in HiringAs part of the recruiting process, Broadridge may use technology, including artificial intelligence (AI)-based tools, to help review and evaluate applications. These tools are used only to support our recruiters and hiring managers, and all employment decisions include human review to ensure fairness, accuracy, and compliance with applicable laws. Please note that honesty and transparency are critical to our hiring process. Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration.0:00 / 1:51
#J-18808-Ljbffr

Related Jobs

View all jobs

Quantitative Analyst

Quantitative Analyst, Fixed Income – Global Asset Manager, London - eFinancialCareers

Quantitative Analyst

Quantitative Analyst - Modelling and Structured Credit

Quantitative Analyst, Model Validation, AVP - Jefferies

Quantitative Analyst – Client Stratatist / Quantitative Specialist - Eximius Finance

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

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.