Analyst of Fraud Strategy, Affirm
Trust & Safety Analytics
CA$109-159k
+ Employee stock purchase plan
POS installment loans
Job no longer available
POS installment loans
1001+ employees
Job no longer available
CA$109-159k
+ Employee stock purchase plan
1001+ employees
Company mission
To deliver honest and transparent financial products that improve users' lives.
Role
Who you are
- EXPERIENCE - 2-5 years work experience as a data analyst/data scientist in fraud/identity or credit risk at a FinTech company
- TECHNICAL SKILLS - Must be highly proficient in SQL; Experience with Python or R and data visualization tools is a plus; Experience/knowledge with Machine Learning is a plus
- PEOPLE SKILLS - A team player with the 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; Ability 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 analytics, engineering, statistics, math, or economics
- RISK KNOWLEDGE - Knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development
What the job involves
- The Fraud Strategy and Analytics team works cross-functionally with Machine Learning, Product, Engineering, Operations to combat fraudulent activities and foster a safe platform for our users
- This role requires a lot of cross-functional partnership
- This individual will be the Analytics point of contact to support the identity and fraud decisioning initiatives
- Additionally, this role will work closely with the Machine Learning teams to enhance and make better use of the fraud models
- Come join us in our mission to deliver honest and transparent financial products that improve lives
- Proactively explore data and identify opportunities to improve identity and fraud prevention strategies
- Translate analysis and trends into decisioning logic recommendations to improve identity and fraud conversion rates or reduce fraud losses
- Own end-to-end analytics workflow, including finding the pain points, defining success metrics, socializing ideas across the organization, and monitoring the A/B test
- Use DBT and Looker to monitor the performance of the identity and fraud decisioning systems
- Develop scalable frameworks to manage tiered cutoffs for proprietary fraud machine learning models
- Evaluate new external data sources to solve individual identity risk, device risk and transaction risk
- Partner with Machine Learning and to build fraud strategies for new product and user segments
Our take
Affirm offers point-of-sale loans to consumers, working with merchants like Shopify, KAYAK, and Walmart. Buy now, pay later transactions have grown in popularity in recent years, and this business is tapping into the market with a totally different approach to credit - by delivering the Affirm card, the first US debit card with the option to pay-over-time.
Boating over 15 million customers and 245,000+ merchants, the company offers flexible payback options, ranging from 3 to 36 months. The interest rates run between 0% and 30%, so, while they are not necessarily the cheapest option, Affirm prides itself on having no fees for late payments, no hidden charges, and total transparency about what people will pay before they take out a loan.
Affirm collects payments from the customers and pays the merchants directly, shouldering the risk itself. The company has boosted its market share, expanding its availability beyond the US to include most of Canada, and continues to launch new features and create new partnerships towards bettering its offering.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
-11% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Sep 2020
$500m
SERIES G
Apr 2019
$300m
SERIES F
Total funding: $1.1bn
Company benefits
- Spending wallets
- Supportive communities
- Remote-first workforce
- Generous time off
- Health benefits
- Mental healthcare
- Birth and non-birth parents get 18 weeks’ paid leave. Plus, a 4-week return-to-work transition program, at full base pay
- We have a simple, flexible, and transparent remote-first compensation structure so you can make the best decisions for yourself and your family
- We offer 24 company-wide paid days off—which help our teams collectively pause to recharge
- Learning & development
Company values
- People Come First
- No Fine Print
- It's On Us
- Simpler is Better
- Push the Envelope
Company HQ
Chinatown, San Francisco, CA
Articles
Leadership
Max Levchin
(CEO)Has founded/co-founded numerous companies, holding various executive positions at each, including Paypal, Slide, Glow, HVF Labs, and SciFi VC. Also worked at large brands including Google, Yelp, Yahoo, and Evernote.
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