Model and Python Developer - Counterparty Credit Risk

About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $228.7 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com At Man Group, we respect your privacy and we are committed to protecting and safeguarding your Personal Data. We have developed policies and processes which are designed to provide for the security and integrity of your Personal Data. We are committed to Processing your Personal Data fairly and lawfully, and being open and transparent about such Processing. For further information on how we process your data, please see the privacy notice for applicants here * As at 31 March 2026   The Team: The Man AHL Investment Risk team is a part of the wider Man Group Risk function and is responsible for risk management, monitoring and risk-related research across Market, Liquidity and Counterparty Risk. The team is responsible for risk management across the full range of AHL funds and strategies — spanning a broad range of asset classes including fixed income, equities, credit, commodities, FX and volatility — and works closely with Portfolio Management, Research, Trading and Technology teams to resolve risk issues. The team has a strong focus on risk research and the development of proprietary, in-house risk tooling. It is responsible for independent research on new risk management techniques and improvements to existing risk analytics, including an internal risk model and Python code base. AHL Risk relies on the strong quantitative and risk backgrounds across the team, as well as programming, data analysis and communication skills. The Role AHL Risk are seeking a self-motivated Risk Manager & Researcher with a strong quantitative background to be part of a dynamic Risk Management team. This is an exciting opportunity for a Quantitative Risk Manager with intellectual curiosity and an interest in Quantitative Research. The role offers a roughly equal balance across ongoing risk monitoring, risk research and model development, and the build-out of the team's risk tooling and analytical infrastructure. It is a highly quantitative position, requiring a strong mathematical and statistical foundation in order to understand the systematic strategies under management and to research and build new risk models and tools. Key Responsibilities * Monitor and manage risk across systematic trading strategies & funds * Work with all areas within the business – both within and outside AHL – to resolve risk issues as they arise * Assist in building out the broader risk framework and analytical infrastructure – including internal risk models and code * Conduct research into new risk measurement and management techniques * Further develop the Man risk management framework and broaden awareness and good risk culture across all functions at Man * Reporting relevant risk data and information to key stakeholders – both internal and external – as and when required Key Skills & Experience * A strong mathematical and statistical background, with the ability to understand systematic strategies and to research and build new risk models and tools * MSc (or higher) in a highly quantitative discipline (e.g. Mathematics, Statistics, Physics) * Minimum 2 years’ experience in a quantitative and/or risk-focused role within buy-side, sell-side or financial services * Knowledge of financial markets across major asset classes * Advanced understanding of portfolio risk modelling and risk management techniques * Advanced Python or similar programming skills, and general strength and fluency with technology and coding * Excellent communication skills Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity. You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.

Hybrid in London, United Kingdom We're looking for a Data Scientist to join the iwocaPay Risk Squad You'll own credit models that decide who iwocaPay can safely fund and on what terms. The team is small, the product is growing, and you'll shape how risk modelling is built – not just maintain what exists. The company Small businesses move fast. Opportunities often don’t wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that’s as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We’ve already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The function iwoca's Data Scientists specialise in supervised machine learning, statistical inference and exploratory data analysis, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations, using medium-sized datasets. The team iwocaPay is iwoca's B2B Buy Now Pay Later product. The Risk Squad owns the automated credit decisioning and fraud prevention models that influence every lending decision the product makes. The squad also handles counterparty risk, portfolio-level strategy, and ongoing monitoring of losses, chargebacks, and segment performance. The role You'll co-own the full credit modelling stack with one other data scientist. You’ll collaborate on model design, review each other's work, and choose what to prioritise. Your models directly control which small businesses get access to funding, on what terms, and how far the product can grow. What you'll get out of it: Complex problems to solve Work on interesting, open modelling problems rather than maintenance. Improving how the model performs across segments, test more advanced approaches, and build models from scratch for new products. Real influence You own the models end to end, and your decisions carry commercial weight. Room to develop A small team on a growing product means broad remit, fast growth, and a say in how the team's pipelines, monitoring, and processes get built. The requirements Essential: * Expertise in supervised machine learning on tabular data, with experience building and iterating production models end to end (exploration through deployment and monitoring). * Strong statistical foundations in probability, uncertainty quantification, model calibration, and in reasoning about where a model is likely to be wrong. * Ability to work independently in a messy, early-stage environment – scoping problems, building infrastructure, and shipping models without well-defined tasks handed to you. * Pragmatism about what ‘good enough’ looks like commercially, balanced with rigour on high-stakes models. * Data engineering capability – building pipelines and managing datasets alongside the modelling work. * AI fluency – using AI to build, automate, and accelerate substantive analytical and engineering work. * Clear communication – you can adapt technical detail for non-technical colleagues working in product, risk, and leadership. Bonus: * Experience with credit risk modelling or financial services lending. * Familiarity with transfer learning, domain adaptation, or techniques for combining datasets of different sizes and relevance. * Experience with non-linear models (gradient boosting, neural networks on tabular data) in production settings. * Python proficiency – it's what the team uses day to day. The salary We expect to pay from £60,000 – £80,000 for this role. But, we’re open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a great place to work: * Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. * Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions. The benefits * Flexible working hours. * Medical insurance from Vitality, including discounted gym membership. * A private GP service (separate from Vitality) for you, your partner, and your dependents. * 25 days’ holiday per year, an extra day off for your birthday, the option buy up to ten more days or up to five, and unlimited unpaid leave. * A one-month, fully paid sabbatical after four years. * Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. * 3% Pension contributions on total earnings. * An employee equity incentive scheme. * Generous parental leave and a nursery tax benefit scheme to help you save money. * Electric car scheme and cycle to work scheme. * Two company retreats a year: we’ve been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: * A learning and development budget for everyone. * Company-wide talks with internal and external speakers. * Access to learning platforms like Treehouse. Useful links: * iwoca benefits & policies * Interview welcome pack