Analyst, Affirm
Full Stack
CA$109-159k
+ ESPP
POS installment loans
Job no longer available
POS installment loans
1001+ employees
Job no longer available
CA$109-159k
+ ESPP
1001+ employees
Company mission
To deliver honest and transparent financial products that improve users' lives.
Role
Who you are
- 2+ years of work experience as a data analyst/data scientist (consumer credit risk management strongly preferred but not required)
- Curious and passionate to learn new things and think outside the box
- Extensive experience with SQL and Python, or other scripting languages. Experience with Spark is a plus
- Experience/knowledge with Machine Learning is a plus
- Ability to collaborate and influence across different teams in the organization
- Ability to communicate findings and recommendations clearly to both technical and non-technical audiences
- A passion for finding insights in data and driving changes based on those insights
- Intelligence + Humility. Hubris is the fastest way to blow up a business!
- Grit. Lots of grit. You’ll wear 7 hats and not love all of them
- This position requires either equivalent practical experience or a Bachelor’s degree in a related field
What the job involves
- The Credit team works cross-functionally with Machine Learning, Product, Engineering, Capital Markets, and Commercial teams to responsibly manage the risk profile of the business
- We’re looking for a thoughtful, driven individual who wants to learn, grow, and solve hard problems
- The team’s mandate is to enable sustainable growth while closely managing the profitability and resilience of our portfolio
- As Affirm continues on an exciting growth trajectory, thinking through credit strategies for new initiatives and products, shaping ongoing testing and experimentation, and being ready for navigating through any exogenous changes will be important problems to tackle
- This role requires extensive use of data analytics to derive insights and develop credit strategies
- It also requires a lot of cross-functional partnership
- Working with the Machine Learning and Engineering team to develop new underwriting models, with the Product teams to develop new products and features, with the Merchant Pricing team to value different merchants, with the Finance team to help facilitate discussions with debt and equity investors are some parts of the role
- Come join us in our mission to change consumer finance through better data and technology, lower costs, and increased transparency while providing the best customer experience!
- Leverage experimentation and advanced data analytics to derive insights. Dissect complex data and translate it into actionable strategies to help optimize credit underwriting
- Determine and optimize purchasing power, ensuring they are set optimally to balance risk and growth, driving healthy user engagement
- Play a pivotal role in underwriting cost saving, managing risk and improving the profitability
- Support the launch of new products by designing and implementing credit strategies
- Partner with Machine Learning and Engineering teams on building effective credit risk capabilities
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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