Quantitative Analytics Lead, Affirm
$160-230k
Salary dependent on US location + ESPP
POS installment loans
Be an early applicant
POS installment loans
1001+ employees
Be an early applicant
$160-230k
Salary dependent on US location + ESPP
1001+ employees
Company mission
To deliver honest and transparent financial products that improve users' lives.
Role
Who you are
- The ideal candidate will have strong analytical and problem solving skills with solid knowledge of analytical tools, as well as interpersonal skills to work cross-functionally and drive forward recommendations
- Undergraduate, Masters, or PhD in Computer Science or other quantitative discipline
- 3-7 years of professional experience developing quantitative infrastructure tools and platforms
- Solid background in math/statistics/finance and familiarity with quantitative research methodologies and machine learning algorithms
- Analyze unique business operational requirements and conduct research in order to design appropriate technical solutions to accommodate those functional needs
- Ability to contribute to the analytics, research, and model development process
- Curiosity to learn about data, models and algorithms and proven track record in analytical and problem solving skills
- Ability to develop strong relationships and work across all organizational levels
- Desire to understand the broader context of business decisions
- Github experience preferred. Existing github presence a plus
What the job involves
- We’re looking for an intelligent, driven professional to join our Quantitative Research team
- Quantitative Research is a part of the broader Quantitative Markets team, which is responsible for structuring and pricing Affirm’s debt funding deals and researching and building data-driven models to analyze and predict the performance of Affirm’s consumer loans
- In this role, you will be primarily focused on analytical tools development, working with engineers and data scientists around the company to improve the usability of the take-up and loan cashflow models
- Over time, you would proactively engage with other stakeholders around Affirm to tailor models to the needs of Merchant Pricing, Credit, Applied Machine Learning, Finance, and other stakeholders
- Architect, build, refine and increase automation and research infrastructure for modeling the performance of existing collateral and simulation frameworks for future loan originations
- Collaborate with platform (Machine Learning and Engineering) teams to implement framework for automating and presenting analytics, reports, and monitoring
- Collaborate with firm-wide analytics teams to deliver analyses and tools to users across the firm
- Review implementation of models focusing on requirement verification and code quality. Conduct code review for different members of the team
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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