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

Apply Now

Quantitative Research Associate

Validus Risk Management
City of London
2 days ago
Create job alert

We are looking for an Associate Quantitative Analyst to join our Quantitative Research team.

This team is responsible for developing and validating the financial models that drive our market risk analytics, with a particular focus on liquidity risk and credit charges in private market portfolios.

As part of a growing quantitative team—alongside Quant Development, Quant Strategies, and Risk Advisory—you will play a key role in shaping the firm’s expanding capabilities in credit and equity derivatives, building on our established expertise in interest rate and FX risk.

Key Responsibilities:

  • Design, develop, and document pricing and risk models for credit and equity derivatives as part of the firm’s strategic expansion in these areas.
  • Work closely with Quant Dev to integrate new models into our internal Python-based risk platform.
  • Support the Quant Strategies and Risk Advisory teams with model calibration, validation, and interpretation across private credit and equity-related exposures.
  • Contribute to liquidity risk modelling, credit charge calculation, and scenario analysis for private market portfolios.
  • Conduct research into new modelling methodologies and maintain awareness of market and regulatory developments.
  • Translate complex model outputs into actionable insights for both internal and external stakeholders.
  • Prepare technical documentation, testing frameworks, and presentation materials for model sign-off and client communication.
  • Minimum 5 years of experience in a quantitative finance, risk modelling, or financial engineering role.
  • Master’s degree or higher in a quantitative/STEM field (e.g., Mathematics, Physics, Financial Engineering, Computer Science).
  • Practical experience with pricing and risk management of credit and/or equity derivatives, ideally across multiple asset classes.
  • Strong programming skills in Python for financial modelling and data analysis.
  • Solid understanding of market risk concepts including VaR, stress testing, sensitivities, and exposure analysis.
  • Ability to work independently on model design and testing, while collaborating effectively with cross-functional teams.
  • Excellent communication skills and the ability to explain quantitative results to non-specialist audiences.
  • Strong attention to detail and ability to manage multiple project streams.

Preferred Qualifications:

  • Experience with C++ or Rust for performance-critical quantitative modelling.
  • Familiarity with private market liquidity risk, credit charges, and illiquid portfolio analytics.
  • Exposure to interest rate and FX derivatives and related risk frameworks.

Validus Risk Management is an independent technology-enabled advisory firm specialising in the management of FX, interest rate and other market risks. We work with institutional investors, fund managers, and portfolio companies to design and implement strategies to measure, manage and monitor financial market risk, using a market-tested combination of specialist consulting services, trade execution and innovative risk technology.

Working at Validus can offer an exciting opportunity for both personal development and professional growth. Share in our mission to become the largest and most respected specialist provider of financial market risk services in the world. Notable benefits include a competitive remuneration package (salary + bonus), health care, retirement plans, and financial support towards professional qualifications.

Our core company values are;

  • Accountability – Getting it done and owning the result.
  • Teamwork – We succeed by helping others succeed.
  • Integrity – We serve our clients; the responsibility is sacrosanct.
  • Diversity – Diversity boosts creativity – creativity is our edge.
  • Kaizen – Strive to do things better. Innovation kills complacency.

Validus is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.


#J-18808-Ljbffr

Related Jobs

View all jobs

Structured Rates Quantitative Research, Associate

Structured Rates Quantitative Research, Associate

Sr. Director of Quantitative Research

Quantitative Research - FX Options - Analyst or Associate

Quantitative Research - Data Analytics for Rates and Emerging Markets - Associate

Quantitative Research - Data Analytics for Rates and Emerging Markets - Associate

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.

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.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.