Quantitative Analysis - Market Risk - Associate Director

Forvis Mazars
London
4 days ago
Create job alert
About the role

We are seeking an experienced Associate Director to join our Market Risk advisory practice, focused on delivering innovative quantitative solutions to clients. In this role, you will leverage your deep quantitative expertise to advise clients on risk measurement, modelling, and regulatory compliance, contributing directly to their strategic decision-making progress.

Responsibilities
  • Lead small and large multidisciplinary engagements and manage client relationships, provide advanced quantitative analysis and modelling to address complex market risk challenges
  • Develop, validate, and implement quantitative risk models (including cVaR, CCR and xVA)
  • Provide thought leadership in quantitative methodologies, regulatory requirements (e.g. Basel III/IV, FRTB), derivatives pricing techniques, and industry best practices
  • Lead project teams, mentor and supervise junior team members, and ensure high-quality delivery
  • Support business development initiatives, including identifying new opportunities and developing proposals
What are we looking for?
  • Minimum of 7-10 years of relevant experience in quantitative modelling, market risk management, derivatives pricing, or risk advisory within financial services
  • Demonstrated experience in one or more of the following areas: derivatives pricing, stochastic modelling techniques, statistical methods including AI/ML, and programming (e.g. Python, R, C++)
  • Excellent analytical and problem-solving skills with the ability to translate complex quantitative concepts clearly to non-technical stakeholders
What we offer?
  • A dynamic, collaborative, inclusive work environment
  • Opportunities to work with leading global financial institutions on challenging and impactful projects
  • Continuous professional development with tailored training and mentorship
About Forvis Mazars

Forvis Mazars is a leading global professional services network. The network operates under a single brand worldwide, with just two members: Forvis Mazars LLP in the United States and Forvis Mazars Group SC, an internationally integrated partnership operating in over 100 countries and territories.

Both member firms share a commitment to providing an unmatched client experience, delivering audit & assurance, tax and advisory services around the world. Together, our strategic vision strives to move our clients, people, industry and communities forward.  Through our reach and areas of expertise, we help organisations respond to emerging sustainability issues in the global marketplace including human rights, climate change, environmental impacts and culture.

We are one diverse, multicultural, multi-generational team with a huge sense of connection and belonging. This is a place where you can take ownership of your career, get involved, believe in yourself and put your ideas into action.

At Forvis Mazars, we empower our people and celebrate individuality. We thrive on teamwork and are agile. We have bold foresight and give people the freedom to make a personal contribution to our shared purpose. We support one another to deliver quality, create change and have a deeper understanding, to help make an impact so that everyone can reach their full potential.

Being inclusive is core to our culture at Forvis Mazars; we want to ensure everyone, whether in the recruitment process or beyond is fully supported to be their unique self. To read more about our approach click here.

Our aim is to make the recruitment process as accessible and inclusive as possible - please contact us to discuss any changes you may require so we can work with you to support you throughout your application.

Visitforvismazars.com/ukto learn more.

Related Jobs

View all jobs

Head of Quantitative Analysis | London, UK (Basé à London)

Head of Quantitative Analysis (Basé à London)

Head of Quantitative Analysis | London, UK (Basé à London)

▷ [High Salary] Quantitative Analysis - Market Risk -Associate Director ...

▷ Apply in 3 Minutes! Quantitative Analysis - Market Risk -Associate Director ...

Quantitative Analyst/Researcher - Energy Trading Firm - UK Remote, Doha Qatar Travel

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.