Goodstack - Fraud Risk Manager

Remote - London, England, United Kingdom+ Equity3w ago

Remote Senior EMEA Health Insurance Insurance Risk Manager Learning & Development Risk Management

Requirements

• Experience in education, nonprofit, or grant verification, or another domain with institutional eligibility checks. • Familiarity with domain and email-based fraud signals, such as institution impersonation and disposable or pseudo-official domains. • Hands-on exposure to fraud tooling and vendors, such as identity verification, device fingerprinting, or domain reputation services. • Experience standing up a fraud function from an early stage, then growing and leading it. • 🇬🇧 What you can expect upon joining our team • 💰 Salary reviews and share options becoming an integral part of our growth and share in the company's success • 💝 Goodstack’s Workplace Giving • ⚕️ Vitality Plus - Private health insurance • 🌞 £250 Brighten your day annual budget • 🤓 £1000 Learning & development annual budget • 📚 Goodstack library • 🌯 Tasty Tuesday! Office lunch is on the company • 🏃🏿‍♀️ Slow run club Wednesday • ⭐️ Paid days off to volunteer for non-profit causes • 🎤 Paid days to attend conferences • 🥳 Paid day off on your birthday! • 🌴 25 days annual leave, plus paid public holidays • 💙 Paid sick leave • 🧘🏽 Paid wellness leave • 🪁 Parental leave • 🧸 Workplace nursery scheme • 🧓🏽 Pension (with tax-efficient salary sacrifice option) • 🚴🏾 UK cycle-to-work scheme • 🌳 Ecologi carbon offsetting • ⚖️ Flexible working hours • 🖥️ WFH budget upon joining • 🏡 You're always welcome to pop in more often if you enjoy the buzz of being in the office. It's a warm, friendly space right in the heart of London • 🙌 … and so much more • Since 2017, Goodstack has been at the forefront of creating a future where good will be built into everything we do. From daily commutes to weekend activities or grocery shopping, we envision a world where creating positive change is seamlessly integrated into our everyday lives. In this future, the depth and breadth of impact we can make through everyday actions will expand dramatically – benefiting both businesses and the world. • Businesses are expected to deliver on both profit and purpose and those that don’t are falling behind. We’re here to make it easy for any company, anywhere in the world, to integrate good into what they do. Doing this empowers everyone – companies, employees, consumers, and communities – to contribute to positive change and take meaningful action. • Let's do this! 💜 • Let's do this! 💜 • OUR PLEDGE TO DIVERSITY, EQUITY & INCLUSION • We take pride in our diverse and growing team representing 20+ nationalities across 5 continents 🌍! Our continued expansion provides us with opportunities to embrace and celebrate different backgrounds, perspectives, and experiences, essential to our success. We actively seek and welcome applicants from all walks of life, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. • A team that represents the world that we are trying to support is a wiser, more knowledgeable and stronger one. We’re excited for you to bring your experience, yourself and your special lemon twist to Goodstack to propel us forward in striving to create a better world for us all. • A team that represents the world that we are trying to support is a wiser, more knowledgeable and stronger one. We’re excited for you to bring your experience, yourself and your special • lemon twist • to Goodstack to propel us forward in striving to create a better world for us all. • Check out our Careers Page for more details! • Careers Page

Responsibilities

• A clear view of our fraud typologies and how they are evolving, grounded in our own data. • Defined risk appetite, detection thresholds, and the trade-off between fraud caught and legitimate users turned away. • A recommendation on whether and where machine learning fits, with a design for it: what it predicts, the signals it draws on, and how it is measured. Build sits with engineering. • The metrics that matter, how we measure detection accuracy, and the guardrails that keep them honest. • Clear recommendations on the questions we are wrestling with, including where to set the burden of proof for eligibility. • This role is a perfect match for you if you have: • 5-7 years in a fraud or risk role, ideally in payments, fintech, marketplaces, or identity verification. • Deep knowledge of fraud typologies and how fraud rings form, adapt, and shift tactics over time. • A track record of setting risk appetite, detection thresholds, and review policies in a live environment, and keeping them current. • Strong judgement on the balance between catching fraud and protecting the experience of genuine users. • Enough technical fluency to work closely with engineers and know what's realistic to build. • Comfort working from data: able to interrogate detection metrics, false positives and negatives, and draw defensible conclusions.