Analyst, Affirm
Full Stack
$128.4-190k
Salary dependent on location. Plus ESPP
POS installment loans
Open for applications
POS installment loans
1001+ employees
Open for applications
$128.4-190k
Salary dependent on location. Plus ESPP
1001+ employees
Company mission
To deliver honest and transparent financial products that improve users' lives.
Role
Who you are
- Master’s degree (or foreign equivalent) in Business Analytics, Financial Engineering or related field & one year of experience in the following:
- Economic and accounting principles and practices, including: the financial markets, banking, and the analysis and reporting of financial data
- SQL, Python, R, Matlab, or AWS
- Looker or Tableau
- Risk modeling including both credit and market risk, assessing macroeconomic trends and financial performance, enabling evaluation of industry risk trends
- Using advanced machine learning techniques to develop quantitative models to predict probability of default with financials and macroeconomic indicators
- Data analytics, financial modeling, model validation, and risk analytics
What the job involves
- Perform advanced data analysis to derive critical insights and develop credit strategies
- Utilize data modeling techniques to manage the profitability and resilience of Affirm by assessing and managing risk through analysis and development of portfolio models by using statistics to quantify risk
- Collaborate with Data Science and Engineering teams to build our new underwriting models and risk management capabilities for Affirm’s consumer finance platform
- Explore business data by using statistical and data modeling to develop robust lifetime valuation infrastructure and capabilities
- Collaborate with the Merchant Pricing team to value different merchants and use advanced data analytics to derive insights and optimize credit strategies
- Develop credit policies for new initiatives and products
- Develop effective risk management strategies and capabilities by analyzing business data sets and using Structured Query Language (SQL) to perform ongoing data testing and experimentation
- Monitor portfolio as well as macroeconomic trends impacting loan performance; and
- Improve end-to-end product analytics workflows using quantitative techniques including linear and logistic regression, classification, clustering and other data modeling and mining methods to deeply understand and analyze data that will improve underwriting solutions
- May telecommute
- Position requires 5% of travel to various unanticipated worksites nationally
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.
Boasting over 21M consumers and 337,000+ 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
-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
- Compensation: We have a simple, flexible, and transparent remote-first compensation structure so you can make the best decisions for yourself and your family
- Spending Wallets: Access tech, food, lifestyle, and family planning wallets for your expenses
- Supportive Communities: Get involved with our employee resource groups and community groups
- Remote-first Workforce: If your role is remote, you can set up shop anywhere in your home country
- Generous Time Off: Take the time you need when life happens
- Health Benefits: Get a plan that fits your needs
- Mental Healthcare: Take care of your mind with great mental health programs
- Parental Leave: Birth and non-birth parents get 18 weeks’ paid leave. Plus, a 4-week return-to-work transition program, at full base pay
- Away Days: We offer 20 company-wide paid days off—which help our teams collectively pause to recharge
- Learning & Development: Engage in exciting learning programs to level up your growth
Company HQ
Chinatown, San Francisco, CA
Leadership
Max Levchin
(Co-Founder & 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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