Analytics Manager (Fraud Analytics)

Returnly Technologies; Remote; GBP 133,000 - 173,000; Full time

Job summary

A financial services company is seeking a Fraud Analytics Lead to oversee fraud detection efforts and collaborate with various teams. The role requires over 7 years of experience in fraud management and extensive skills in data analytics, SQL, and cross-functional communication. A bachelor's degree in a quantitative field is preferred. The successful candidate will develop strategies for fraud prevention and adapt to a dynamic work environment. This position is fully remote based in the UK and offers competitive compensation and benefits.

Benefits

Health care coverage

Flexible Spending Wallets

Competitive vacation days

Employee stock purchase plan

Qualifications

• 7+ years of experience in Fraud Management or a related field preferred.
• Extensive experience writing and analyzing SQL queries.
• Strong communication skills to build cross-functional partnerships.

Responsibilities

• Develop strategies for monitoring and preventing fraud.
• Leverage data analytics to identify loss drivers.
• Quickly respond to fraud rings and address issues promptly.

Skills

Fraud Management

Data Analytics

SQL

Python

Cross-functional Communication

Education

Bachelor’s degree in a quantitatively rigorous field

Job description

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.

The Fraud Strategy & Analytics team works cross‑functionally with Machine Learning, Product, Engineering, and Operations to combat fraudulent activities and to foster a safe platform.

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 our cross‑functional partners to help develop our fraud detection and decisioning 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 together with our operations team to help 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 so as to allow for increased overlap with US‑based colleagues.
• Technical skills – Extensive experience writing and analyzing SQL queries; comfort using Python or other scripting languages for data analysis.
• Communication – Ability to build strong cross‑functional partnerships and work with a diverse range of teams across the organization. Ability to communicate analyses and recommendations clearly to both technical and non‑technical audiences.
• Multi‑tasking – Strong time‑management skills and the ability to shift focus on a moment’s notice to respond to changes in fraud pressure and tactics.
• Industry knowledge – Working knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development.
• Bachelor’s degree, or local equivalent, in a quantitatively rigorous field like engineering, statistics, math, finance, economics desired.

Compensation & Benefits

Pay Grade – O
Equity Grade – 6
Employees new to AFFIRM typically come in at the start of the pay range. AFFIRM focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job‑related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, employees may be eligible for equity rewards offered by AFFIRM HOLDINGS, INC. (parent company).
GBP base pay range per year: £133,000 - £173,000
Location – Remote UK
#LI-Remote

Benefits

• Health care coverage – AFFIRM covers all premiums for all levels of coverage for you and your dependents.
• Flexible Spending Wallets – generous stipends for spending on technology, food, various lifestyle needs, and family forming expenses.
• Time off – competitive vacation and holiday schedules allowing you to take time off to rest and recharge.
• ESPP – An employee stock purchase plan enabling you to buy shares of AFFIRM at a discount.

We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, AFFIRM will consider for employment qualified applicants with arrest and conviction records.

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