Fraud Risk Manager

Posted One Month Ago
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London, Greater London, England, GBR
Hybrid
Senior level
Information Technology • Software
The Role
Own the fraud threat model, risk appetite, detection thresholds, measurement framework, and fraud response policies. Lead fraud specialists, define workflows and escalation standards, guide machine-learning strategy, and manage tooling and vendor decisions. Partner with Operations, Product, and Engineering to evolve fraud detection, balance fraud prevention with genuine-user experience, and establish a scalable fraud function.
Summary Generated by Built In

If you've been looking to join a fast-growing startup with a bold vision, exciting challenges and the opportunity to make a genuine difference in the world, you've found the right place.

Backed by General Catalyst, the investors behind companies like Stripe and Airbnb, we're building something extraordinary.


Our Mission 🌎

At Goodstack, our mission is to revolutionize how the world does good. We envision a world where doing good is built into everything we do.

As a fast-growing, AI-native social impact startup, we're building the technology and infrastructure that connects businesses and good causes, making it easier to give, grow and create meaningful impact at scale.

We do this in two ways:

  • Goodstack for Business helps some of the world's leading companies power their social impact programmes.

  • Goodstack for Causes helps nonprofits access the funding, technology and resources they need to thrive.

And we're already making a difference:

  • $11 billion in donations facilitated since 2022.

  • Over 13 million mission-driven organisations in the world's largest verified database.

  • 500,000+ nonprofits on our platform, with thousands more joining every week.

  • Trusted by global companies including Google, Microsoft, Anthropic, Open AI, Canva, TikTok and Airbnb, alongside nonprofits such as the Red Cross, Cancer Research UK and Oxfam.


What We're Building Next 🚀

We're entering an exciting new chapter: evolving beyond software into an AI-native business that delivers meaningful outcomes for businesses and nonprofits worldwide.

By combining AI, automation and human expertise, we're building a future where companies can manage global giving programmes more seamlessly, and nonprofits can access funding faster and more efficiently.

Our ambition is bold, and the challenges are complex. We're looking for curious, ambitious and AI-native thinkers who take ownership, challenge assumptions and use technology creatively to solve meaningful problems.

That's where you come in 🫵

Join us as Fraud Risk Manager to help protect the funding of thousands of Nonprofits!

We're looking for an experienced fraud manager to own how we detect, measure, and respond to fraud. You'll set the direction and the operating model, then keep evolving both as our risk changes. You'll work closely with Operations, Product, and Engineering, and over time you'll shape how the fraud function grows.

As Fraud Risk Manager, your mission will be to:
  • Own the fraud threat model and set risk appetite, detection thresholds, and the balance between fraud caught and genuine users turned away.

  • Make the key policy calls, including where to set the burden of proof for eligibility.

  • Own the measurement framework: the metrics that matter, how detection accuracy is measured, and the guardrails that keep it honest.

  • Set the direction for machine learning, what it predicts and how it's measured, with build sitting in engineering.

  • Lead, develop, and set the quality bar for the fraud specialists, including workflows, escalation, and SLAs.

  • Own how the fraud function performs across partners, and own the roadmap and build versus buy calls on tooling and vendors.

After 6 months, success will look like:
  • 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.

Bonus if you have knowledge or love of:
  • 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


About us

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! 💜

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.

Check out our Careers Page for more details!

Skills Required

  • 5-7 years of experience in fraud or risk roles, ideally in payments, fintech, marketplaces, or identity verification
  • Deep knowledge of fraud typologies and how fraud rings form, adapt, and change tactics
  • Experience setting risk appetite, detection thresholds, and review policies in a live environment
  • Strong judgment balancing fraud detection with protection of genuine-user experience
  • Technical fluency sufficient to collaborate with engineers and assess feasible solutions
  • Ability to analyze detection metrics, false positives, false negatives, and draw defensible conclusions
  • Experience in education, nonprofit, grant verification, or institutional eligibility checks
  • Familiarity with domain and email-based fraud signals, including institution impersonation and disposable or pseudo-official domains
  • Hands-on experience with fraud tooling or vendors, such as identity verification, device fingerprinting, or domain reputation services
  • Experience establishing and scaling a fraud function
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The Company
HQ: London
125 Employees
Year Founded: 2017

What We Do

Goodstack is on a mission to revolutionize how the world does good by connecting companies, employees, and customers to causes through the largest purpose-driven network on the planet. 🌎 We’re building the best experience in the market for both businesses and nonprofits: a modern, intuitive platform that helps you stay agile and move quickly where one stack powers it all. Our solution makes it easy and effective for companies to grow and scale their impact efforts, ranging from nonprofit and education verification, to grant program management, to employee engagement. In 2024, we facilitated over $3B in donations, making us the largest nonprofit donor of any company globally — and we’re just getting started.

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