Analytics Manager, Credit Risk

Affirm

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Remote US First seen 1 day, 3 hours ago Last seen 3 hours, 7 minutes ago Greenhouse

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Job Description

AI Summary

• Develop and manage end-to-end credit strategies for Affirm's lending portfolio, particularly for Shopify, while partnering across Machine Learning, Product, Engineering, and Commercial teams to optimize underwriting and risk management • Require 7+ years of credit risk experience with strong technical skills in SQL and Python, plus deep knowledge of lending fundamentals and ability to challenge existing strategies to identify growth opportunities • Design credit strategies for new products and verticals, leverage alternative data to optimize limit assignment and purchasing power, and enhance underwriting frameworks for low average order value transactions • Work in a fast-paced environment managing multiple projects simultaneously while communicating complex analytical findings to both technical and non-technical stakeholders across the organization • Competitive pay at grade O with equity at grade 12, positioned to influence Affirm's mission of making consumer credit more transparent and customer-friendly through data-driven decision making

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 Risk & Analytics team makes crucial decisions that direct Affirm’s business strategy. Our team designs and runs experiments to decide which product features to launch and which marketing campaigns to fund. We analyze performance not just to report on it, but to determine where to invest resources for maximum impact through building tools and analytical frameworks. We take ownership of the entire analytical lifecycle, from initial question to final business decision, ensuring Affirm grows efficiently and intelligently.

The Credit team works cross-functionally with Machine Learning, Fraud, Product, Engineering, Capital Markets, and Commercial teams to responsibly manage the risk profile of the business. We’re looking for an intelligent, 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, designing credit strategies for new initiatives and products, partnering with the Machine Learning team to continuously enhance our underwriting framework, and being ready to navigate through any exogenous changes will be important problems to tackle.

This role requires a lot of cross-functional partnership, with extensive use of data analytics to derive insights and develop credit strategies. 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!

What you'll do

Partner with cross-functional teams and be the Credit POC that manages the end-to-end credit strategy for the Shopify portfolio
Leverage alternative data and further optimize our credit strategy in limit assignment and purchasing power
Partner with Machine Learning team and enhance our underwriting framework for low AOV
Support new product formation and new vertical exploration

What we look for

Experience - 7+ years work experience in the credit risk field
Vision - A visionary leader who can challenge the status-quo and identify opportunities, as well as develop the roadmap and strategy plan
Risk Knowledge - Working knowledge of the fundamentals of the lending industry and credit risk management
Technical Skills - Fluent in SQL and Python
Multi-tasking - Strong time management skills and the ability to manage multiple projects and priorities, and able to thrive in a fast-paced environment
Collaboration - Ability to collaborate and influence across different teams
Communication - Ability to communicate findings and recommendations clearly to both technical and non-technical audiences

Pay Grade - O
Equity Grade - 12

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: $215,000-265,000
USA base pay range (all other U.S. states) per year: $191,000 - 241,000

#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.

Skills

sql python

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Job Information

Company:
Affirm
Location:
Remote US
Job Type:
Full-Time
Work Location:
Remote
Experience Level:
Senior
Source:
Greenhouse
Status:
Active

Activity Score

84 /100

Very Active (84)

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