FreshRemote.Work

Analyst I, Fraud Strategy and Analytics

Remote US

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 Fraud Operations to combat fraudulent activities and to foster a safe platform.

 

What You'll Do

  • Help support our team's fraud monitoring,  detection and mitigation efforts

  • Participate in a rotation serving as a main point of contact for fraud escalations

  • Research emerging fraud trends by analyzing data and monitoring key fraud metrics to proactively identify and address potential risks

  • Quickly respond to fraud rings and  implement new strategies to mitigate emerging fraud threats and vulnerabilities 

  • Assist with development of our fraud monitoring strategy and identify any potential gaps

  • Work closely with our cross functional partners to help improve our fraud decisioning systems

  • Assist with evaluation and development of new external or internal features and signals to improve our fraud detection capabilities


What We Look For

  • Minimum 1 year of experience in fraud prevention, risk management, or related fields, including prior experience with data analytics in the finance or lending industry preferred.
  • Proficiency with data analysis using SQL is required. Strong analytical skills with the ability to identify patterns, trends, and anomalies in data are essential. Hands-on experience using a scripting language, such as Python or R, for data analysis is strongly preferred.
  • Passion for understanding and enhancing fraud detection systems to effectively identify and mitigate fraudulent activities.
  • Working knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development
  • Ability to communicate findings and recommendations clearly to both technical and non-technical audiences
  • Strong time management skills and the ability to handle multiple projects and priorities
  • Bachelor’s degree or equivalent practical experience in a quantitatively rigorous field like engineering, statistics, math, finance, economics desired



Pay Grade - I
Equity Grade - 5

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: $115,000 - $155,000
USA base pay range (all other U.S. states) per year: $102,000 - $142,000

#LI-Remote

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.

By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

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Job Profile

Regions

North America

Countries

United States

Restrictions

Limited number of roles remain office-based Occasionally required to work from assigned office Remote US

Benefits/Perks

100% subsidized medical 100% subsidized medical coverage Competitive benefits Competitive vacation Competitive vacation and holiday schedules Dental Dental and vision Employee stock purchase plan Equity Equity rewards ESPP Flexible Spending Flexible Spending Wallets Generous stipends Health care coverage Inclusive interview experience Inclusive interview experience for all Monthly stipends Monthly stipends for health Remote-first company Subsidized medical coverage Tech spending Time off Transparent pay structure Vision Wellness Wellness and tech spending

Tasks
  • Communicate findings
  • Data Analysis
  • Develop fraud monitoring strategy
  • Improve fraud decisioning systems
  • Research fraud trends
  • Respond to fraud rings
  • Strategy development
  • Support fraud monitoring
Skills

Analytical Analytics Benefits Compensation Data analysis Data & Analytics Detection Engineering Finance Fraud detection Fraud operations Fraud Prevention Lending Machine Learning Math Metrics Monitoring Operations Payment Processing Python R Research REST Risk Management SQL Statistics Strategy Strategy Development Technology Time Management

Experience

1 years

Education

Bachelor's degree Data Analytics Economics Engineering Equivalent practical experience Finance IT Math Related fields Statistics

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9