Analyst II, Fraud Analytics

Affirm; Myrtle Point (OR); Remote; USD 124,000 - 174,000; Full time

Job summary

A financial technology company is seeking an Analyst II in Fraud Analytics to drive improvements across their Trust and Safety strategy. This role involves data exploration, optimization recommendations, and collaboration with cross-functional teams. Ideal candidates have 2-4 years of experience in risk management, excellent SQL and Python skills, and a quantitative educational background. The position offers competitive pay and benefits, including full healthcare coverage.

Benefits

Health care coverage

Flexible Spending Wallets

Competitive vacation and holiday schedules

Employee stock purchase plan

Qualifications

• 2-4 years work experience in customer risk management at a payments or financial company.
• Ability to clearly communicate findings and recommendations to both technical and non-technical audiences.
• Knowledge of the fundamentals of payment processing.

Responsibilities

• Proactively explore data and identify opportunities to help accelerate product development.
• Translate analysis and trends into recommendations for business logic.
• Own end-to-end analytics workflow, including defining success and performance metrics.

Skills

SQL

Python

R

Customer risk management

Collaboration

Communication

Time management

Education

Bachelor’s or Master’s degree in a quantitatively rigorous discipline

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.

OurFraud Strategy & Analyticsteam is looking for an Analyst II, Fraud Analytics to join us in driving improvements across theTrust and Safety online decisioning strategy and user journeys at Affirm! The ideal candidate will bring a sharp analytical mindset, strong business intuition, and a collaborative spirit to uncover optimization opportunities and influence product strategy. We’re excited to meet candidates who are eager to deliver impact through data-driven insights, scalable experimentation, and thoughtful fraud strategy that enhances both user experience and safety.

What you’ll do

• Proactively explore data and identify opportunities to help accelerate product development or improve existing products in Trust and Safety domain, and drive the analytical work of online experiment to optimize the existing fraud decisioning strategies to achieve better conversion rate.
• Translate analysis and trends into recommendations for business logic to improve identity and fraud conversion rates or fraud rates
• Develop scalable frameworks to manage tiered cutoffs for proprietary fraud machine learning models
• Evaluate innovative data sources to solve fraud risk, and partner with the data engineering team to develop and maintain the data pipelines for our core datasets for analytical purposes.
• Own end-to-end analytics workflow, including defining success and performance metrics, socializing them across the organization, and creating actionable dashboards and reports
• Partner with Machine Learning on building fraud and identity verification strategies for new product, market, and user segments
• Partner closely with Product and Engineering to identify highest impact points in the funnel to drive user acquisition and retention

What we look for

• EXPERIENCE - 2-4 years work experience in customer risk management at a payments or financial company.
• TECHNICAL SKILLS - Fluent in SQL and Python or R
• PEOPLE SKILLS - A team player with ability to collaborate and influence across different teams in the organization
• COMMUNICATION - Ability to clearly communicate findings and recommendations to both technical and non-technical audiences
• PRODUCT KNOWLEDGE - Passion to understand how the product works and how to change to make it more effective
• MULTI-TASKING - Strong time management skills and the ability to manage multiple projects and priorities
  • Able to thrive in a fast-paced environment and be responsive and available during high intensity moments
• EDUCATION - Bachelor’s or Master’s degree degree in a quantitatively rigorous discipline like engineering, statistics, math, or economics desired
• RISK KNOWLEDGE - Knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development.

Pay Grade - K
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 equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)

USA base pay range (CA, WA, NY, NJ, CT) per year: $140,000 - $190,000
USA base pay range (all other U.S. states) per year: $124,000 - $174,000

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:

• 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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