Quantitative Risk Manager

Tower, Greater London
1 week ago
Applications closed

Related Jobs

View all jobs

Risk Data Scientist

Risk Data Scientist

Technical Pricing Anlayst

▷ (Only 24h Left) Data Scientist, AWS Industries

Data Scientist, Generative AI Innovation Center

Quantitative Analyst - Sports Trading

Ideas | People | Trust

We’re BDO. An accountancy and business advisory firm, providing the advice and solutions entrepreneurial organisations need to navigate today’s changing world.

We work with the companies that are Britain’s economic engine – ambitious, entrepreneurially-spirited and high‑growth businesses that fuel the economy - and directly advise the owners and management teams that lead them.

We’ll broaden your horizons

Our Advisory team provide a wide variety of services that deliver value-led advice and outcomes. They have an in-depth knowledge of business, industry sectors and markets and understand the constantly changing risks and opportunities at the heart of our clients’ affairs. The team work across strategy, operations and improvement as well as at a transactional and defined project level. From technology to risk advisory, they’re experts in following through on top-level instructions and resolving the finer details – all in one straight-forward package. When you join them, you’ll work on some of the world's most exciting financial operations and business deals, building your experience and expertise alongside the brightest minds in the industry.

We’ll help you succeed

Leading organisations trust us because of the quality of our advice. That quality grows from a thorough understanding of their business, and that understanding comes from working closely with them and building long-lasting relationships.

You’ll be someone who is both comfortable working proactively and managing your own tasks, as well as confident collaborating with others and communicating regularly with senior managers, directors, and BDO’s partners to help businesses effectively. You’ll be encouraged to identify and draw attention to opportunities for enhancing our delivery and providing additional services to organisations we work with.

As a Manager you will be responsible for managing a portfolio of projects and for the timely delivery of services. You will work closely and support Directors and Partners with engagements. You will be expected to contribute toward marketing and business development initiatives.

You will be involved in a range of valuation and advisory engagements relating to financial products (derivatives and cash based) across all asset classes that will include both contentious and non-contentious matters. Such engagements will also include risk related matters such as the modelling of default risk and calculating expected credit losses (ECL). You will also be involved in other forms of quantitative/statistical advisory projects.

You will also assist with the development of valuation models and modelling techniques for financial assets ranging from complex derivatives and structured products to other hard to value instruments that are complex due to illiquidity or a lack of observable market data inputs.

The position benefits from rigorous on-the-job training from senior team members with significant experience in investment banking and consulting. Opportunities for undertaking further financial (e.g., CFA, FRM) or quantitative (e.g., CQF) qualifications will also be available. The Manager is a key part of this team and you'll:​

Provide effective project management of valuation engagements from inception to completion.

Deliver clear, succinct, and robust valuation reports that are fit for purpose and accessible to non-technical readers.

Manage expectations and relationships skilfully through timely and appropriate communication.

Manage junior team members on engagements ensuring they are appropriately briefed and coached. 

Assist in the appraisal and development of junior members of staff including identifying areas for development and collaboratively putting in place plans for addressing skill and knowledge deficits. 

Provide effective intellectual input and challenge to senior members of staff in the completion of projects with conceptual complications.

Carry out relevant technical research relevant to a specific area of valuations or credit risk – disseminate key findings to the quantitative risk & valuation team. 

Liaise with stakeholders, solicitors, and barristers as necessary as a normal part of an engagement.

Prepare reports for advice to clients or solicitors or for use in legal or regulatory proceedings.

Be responsible for and ensure excellent service and delivery on assignments and at stream level.

Identify and recognise business and sales opportunities and inform the partner and client as appropriate.

Ensure that the firms risk management and client take-on procedures have appropriately been complied with.

Maintain a network of professional and business contacts.

Act as an ambassador of the firm, participate in marketing events, keep abreast of the wide range of services the firm offers and suggest innovative products and services.

Support Partner, Directors on ad hoc assignments as needed.

You’ll be someone with

Strong professional interest in the fields of retail and corporate credit risk, scorecard methods, internal ratings-based models, model validation, as well as UK and European regulatory standards underpinning these areas.

Significant credit risk experience gained ideally from a major financial institution, another professional services firm, or a credit ratings agency. Valuation experience will be an advantage.

An interest in applying tools from finance, mathematics, and data science to provide pragmatic and robust solutions to real-world problems.

Strong knowledge of mathematics and statistics as applied to finance and credit risk. Hands on experience in credit risk modelling or the valuation of financial products.

A master’s degree in Finance, Economics, Mathematics, Statistics, Engineering or Computer Science from a reputable university.

Desirable previous credit risk modelling experience or the building and / or validating credit risk models obtained from within a bank or a credit ratings agency.

Some programming skills in a high-level language (e.g., Python, R, MATLAB, Excel VBA) and/or experience with econometric software packages (e.g., STATA, SAS).

You’ll be able to be yourself; we’ll recognise and value you for who you are and celebrate and reward your contributions to the business. We’re committed to agile working, and we offer every colleague the opportunity to work in ways that suit you, your teams, and the task at hand.

At BDO, we’ll help you achieve your personal goals and career ambitions, and we have programmes, resources, and frameworks that provide clarity and structure around career development.

We’re in it together

Mutual support and respect is one of BDO’s core values and we’re proud of our distinctive, people-centred culture. From informal success conversations to formal mentoring and coaching, we’ll support you at every stage in your career, whatever your personal and professional needs.

Our agile working framework helps us stay connected, bringing teams together where and when it counts so they can share ideas and help one another. At BDO, you’ll always have access to the people and resources you need to do your best work.

We know that collaboration is the key to creating value for the companies we work with and satisfying experiences for our colleagues, so we’ve invested in state-of-the-art collaboration spaces in our offices. BDO’s people represent a wealth of knowledge and expertise, and we’ll encourage you to build your network, work alongside others, and share your skills and experiences. With a range of multidisciplinary events and dedicated resources, you’ll never stop learning at BDO.

We’re looking forward to the future

At BDO, we help entrepreneurial businesses to succeed, fuelling the UK economy.

Our success is powered by our people, which is why we’re always finding new ways to invest in you. Across the UK thousands of unique minds continue to come together to help companies we work with to achieve their ambitions

We’ve got a clear purpose, and we’re confident in our future, because we’re adapting and evolving to build on our strengths, ensuring we continue to find the right combination of global reach, integrity and expertise. We shape the future together with openness and clarity, because we believe in empowering people to think creatively about how we can do things better

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.

Machine Learning Jobs in the Public Sector: Opportunities Across GDS, NHS, MOD, and More

Machine learning (ML) has rapidly moved from academic research labs to the heart of industrial and governmental operations. Its ability to uncover patterns, predict outcomes, and automate complex tasks has revolutionised industries ranging from finance to retail. Now, the public sector—encompassing government departments, healthcare systems, and defence agencies—has become an increasingly fertile ground for machine learning jobs. Why? Because government bodies oversee vast datasets, manage critical services for millions of citizens, and must operate efficiently under tight resource constraints. From using ML algorithms to improve patient outcomes in the NHS, to enhancing cybersecurity within the Ministry of Defence (MOD), there’s a growing demand for skilled ML professionals in UK public sector roles. If you’re passionate about harnessing data-driven insights to solve large-scale problems and contribute to societal well-being, machine learning jobs in the public sector offer an unparalleled blend of challenge and impact. In this article, we’ll explore the key reasons behind the public sector’s investment in ML, highlight the leading organisations, outline common job roles, and provide practical guidance on securing a machine learning position that helps shape the future of government services.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.