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

Apply Now

Quantitative Analyst

Ludgate Hill
5 months ago
Applications closed

Related Jobs

View all jobs

Assistant Coastal Data Scientist

Lead R Data Scientist - Sustainability

Lead R Engineer / Data Scientist - Integrated Pest Management (IPM)

Forvis Mazars is an engine for rapid and consistent career progression, offering individually designed career paths that help you pursue your interests, match your changing needs, and explore your true potential. We work with diverse, prestigious clients across a range of sectors and geographies, giving you the opportunity to constantly update and grow your skills for lifelong professional development.

Due to the continued growth of our FS Risk Consulting Department, we are looking for a Quantitative Analyst to join the Quantitative Finance Team based in London. You will mainly interact with banks but also insurance companies, large corporates and service companies on a variety of projects.

About the role

Contribute in small and large-sized multidisciplinary engagement teams delivering quantitative finance projects for clients:

Cross-asset derivative pricing including valuation adjustments (XVA). Calibration of models using best industry practices

Model validation for small to large size clients, for quantitative risk management models such as (PD/LGD, VaR, Expected Shortfall, EPE/PFE)

Implementation review of accounting standards such as FRTB, IFRS9, CECL

Development of internal pricing libraries and tools (e.g. C/ECL, stress testing)

Oversee summer internship projects

Support business development by preparing client proposals

Help with administrative tasks (such as training and recruitment)

What are we looking for?

Advanced knowledge in derivative pricing, quantitative risk management (covering credit, market and counterparty risk), stochastic calculus, modelling, statistics and probabilities

Strong significant experience either in derivative pricing, credit (PD and LGD modelling) and market (VaR, Expected Shortfall, FRTB) risk modelling

Strong experience in either of Python, R or C++

Ability to work in a team

Desired experience/skills: model validation and machine learning

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 .

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.

Visit to learn more

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 the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.