Fraud Risk Leader at a Global Impact Startup

Goodstack; Greater London; On-site; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Salary reviews + equity

Workplace Giving

Private health insurance

Brighten your day budget

Learning & development budget

Office lunch

Volunteer days

Conference days

Birthday leave

25 days annual leave

Pension with salary sacrifice

Cycle-to-work

Carbon offsetting

WFH budget

Job summary

Goodstack in London is seeking an experienced Fraud Risk Manager to own detection, measurement, and response to fraud. You will define the operating model and collaborate with Operations, Product, and Engineering to scale the function.

You will set threat models, risk appetite, detection thresholds, and build a metrics framework; lead a team of specialists and guide partnerships and build-vs-buy decisions on tooling.

Qualifications

• 5-7 years in a fraud or risk role, ideally in payments, fintech, marketplaces, or identity verification.
• Deep knowledge of fraud typologies and how rings form, adapt, and shift tactics.
• Track record of setting risk appetite, detection thresholds, and review policies in a live environment.
• Strong judgement balancing fraud detection with genuine user experience; close work with engineers.

Responsibilities

• 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.

Skills

Fraud risk management

Risk appetite setting

Detection thresholds

Engineering collaboration

Data-driven analysis

Fraud metrics

Tools

Identity verification

Device fingerprinting

Domain reputation services

Fraud tooling

Job description

Goodstack in London is seeking an experienced Fraud Risk Manager to own detection, measurement, and response to fraud. You will define the operating model and collaborate with Operations, Product, and Engineering to scale the function.

You will set threat models, risk appetite, detection thresholds, and build a metrics framework; lead a team of specialists and guide partnerships and build-vs-buy decisions on tooling.