Fraud Risk Manager
- Market p25–p75
- £41k–£95k
- Opened · 30d
- +1
- Closed · 30d
- −2
- Opened · 7d
- +9,91613% of open
- All other
- 625,813open
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.