Analytics Manager, Full Stack; Fraud Analytics

Position: Analytics Manager, Full Stack (Fraud Analytics)

Analytics Manager, Full Stack (Fraud Analytics) – affirm

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

We’re looking for a new team member to help lead our team’s fraud monitoring and detection efforts and own fraud escalations as we scale internationally. Additionally, this role will work closely with cross‑functional partners to develop our fraud detection and decision‑making systems.

What You’ll Do

• Develop strategies for monitoring and preventing fraud across our network, advising on best practices and ensuring the strategies align with risk management goals.
• Leverage advanced data analytics to identify loss drivers, derive insights and optimize fraud management strategies.
• Report on fraud trends and loss drivers to cross‑functional partners and senior management.
• Quickly respond to fraud rings and ensure issues raised by other teams are addressed in a timely manner.
• Work with our operations team to limit losses and ensure optimal review volumes.
• Assist with evaluation and development of new external or internal features/signals to improve our fraud detection capabilities.
• Assist with team planning and goal setting as well as coaching and mentorship of more junior team members.

What We Look For

• 7+ years of experience in fraud management or a related field, preferred with a prior emphasis on analytics.
• Product knowledge – passion to understand how the product works and how to change it to make it more effective.
• Able to thrive in a fast‑paced environment and be responsive and available during times of peak fraud activity.
• Ability to work later starts several days a week to allow for increased overlap with U.S. based colleagues.
• Technical skills – extensive experience writing and analyzing SQL queries; comfortable using Python or other scripting languages for data analysis.
• Communication – strong cross‑functional partnership building and ability to communicate analyses and recommendations clearly to both technical and non‑technical audiences.
• Multi‑tasking – strong time‑management skills and ability to shift focus on a moment’s notice.
• Industry knowledge – working knowledge of payment processing fundamentals and risk trends.
• Bachelor’s degree, or local equivalent, in a quantitively rigorous field (engineering, statistics, math, finance, economics) desired.

Compensation & Benefits

Pay Grade: O

Equity Grade: 6

Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits.

G base pay range per year: £133,000 – £173,000

Location

Remote UK

Benefits

• Health care coverage – affirm covers all premiums for all levels of coverage for you and your dependents.
• Flexible spending wallets – generous stipends for technology, food, lifestyle needs, and family‑forming expenses.
• Time off – competitive vacation and holiday schedules.
• ESPP – employee stock purchase plan enabling you to buy shares at a discount.

We are committed to an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates.

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