You'll own the fraud strategy agenda for a B2B payment product that is changing how it delivers digital trade credit.
You will design transaction profiling strategies, monitor automated fraud models, and give a small team the direction and context to act on what the data tells us.
Your challenge is to close that gap: designing transaction profiling strategies, establishing real-time automated decisioning, and defining risk appetite to keep the B2B checkout experience seamless while loss rates stay inside tolerance.
You'll set modelling priorities and evaluate automated fraud models alongside embedded data scientists, rather than building from scratch yourself.
You'll guide Risk Analysts and work across product and engineering to turn analytical trade-offs into commercial decisions others can act on.
Credit policy, model governance, seller counterparty risk – you'll build up the frameworks for a new invoice finance product.
You'll define the standards, judge whether the models meet them, and present a forward-looking strategy that tells Co-Leads and wider leadership what to sequence next.
The decisions you make will shape loss rates, approval volumes, and the pace at which a new product scales.

Portfolio ownership: You have managed or materially contributed to a credit portfolio of £10 million or more, with accountability for fraud and/or credit loss performance against a defined risk appetite.
Experience delivering fraud strategy in a digital lending, fintech, or payments context, focusing on transaction profiling over manual reviews.
Experience with B2B-specific fraud typologies, such as buyer impersonation, fictitious invoices, or merchant collusion.
Experience managing fraud loss rates against high-velocity transaction volumes, balancing fraud prevention with customer friction to achieve high straight-through approval rates.
Ability to monitor and evaluate automated fraud models, assessing feature quality and guiding data scientists without necessarily needing to build models yourself.
Ability to collaborate across engineering, data science, and product, translating fraud trade-offs into commercial decisions that non-specialists can act on.
Background in mathematics, statistics, economics, or a related quantitative discipline, allowing you to challenge, tune, and evolve risk frameworks.
Uses AI tools to support analysis and decision making, applying strong judgement to ensure accuracy, risk awareness, and sound outcomes.

Experience at a B2B pay-later or trade credit business.
Experience assessing seller counterparty risk or merchant risk in a payments or embedded finance context.
Experience building or scaling a risk function during a period of significant product change or volume growth.

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 to buy or sell an additional five days of annual leave, 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.
A learning and development budget for everyone.
Company-wide talks with internal and external speakers.
Access to learning platforms like Treehouse.

iwoca is hiring a Fraud Strategy Lead - iwocaPay