Analyst II, Trust and Safety Analytics

Affirm

🔍 Observed

$140K - $190K USD

Remote US First seen 3 weeks ago Last seen 5 hours, 45 minutes ago Greenhouse

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Job Description

AI Summary

• Analyze fraud prevention and identity verification data to optimize the balance between security and user conversion, while owning analytics dashboards and reporting for the Trust & Safety team • Requires 2-4 years of risk management experience at a payments or financial company, with strong SQL and Python skills and a quantitative degree (engineering, statistics, math, or economics preferred) • Partner with Product, Engineering, Machine Learning, and Compliance teams to design experiments, develop fraud detection models, and identify new risk differentiators to keep the platform safe • Must demonstrate strong cross-functional collaboration skills, clear communication to both technical and non-technical audiences, and ability to thrive in a fast-paced environment with multiple priorities • Opportunity to own end-to-end analytics workflows including metric definition, data pipeline development, and building scalable frameworks for fraud machine learning models

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 Trust & Safety Analytics team works cross-functionally with with Product, Engineering, Machine Learning, and Compliance to discover insights through analysis and design experiments that optimize the trade-off between fraud prevention and user conversion while ensuring our processes remain compliant.

We are looking for a new team member to continuously identify customer pain points and test new fraud verification strategies to create the best-in-class user experience during customer onboarding and repeat transactions. You will also keep looking for new risk differentiators and remediate the vulnerabilities in our decisioning system to keep our platform safe. Additionally, you will be the data expert of our team with the opportunity to own data models and reporting dashboards.

What you'll do

Proactively explore data and identify opportunities to help accelerate product development or improve existing products in Trust and Safety, and drive the analytical work of online experiment to optimize the existing 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
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

#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 Information

Company:
Affirm
Location:
Remote US
Work Location:
Remote
Experience Level:
Mid
Source:
Greenhouse
Status:
Active

Activity Score

65 /100

Likely Active (65)

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