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Affirm

via Greenhouse

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Analytics Manager, Credit Full Stack

Anywhere
full-time
Posted 10/17/2025
Direct Apply
Key Skills:
Data Analytics
Risk Management
SQL
Python
Data Mining
Data Visualization
Machine Learning
Credit Risk Management
Credit Strategies
Model Performance Monitoring
Team Management
Mentorship
Underwriting Strategies
Portfolio Monitoring
Macroeconomic Trends
Project Management

Compensation

Salary Range

$191K - 265K a year

Responsibilities

The Analytics Manager will leverage advanced data analytics to derive insights and optimize credit strategies while partnering with Engineering to build effective risk models. They will also oversee adjustments to underwriting strategies and manage a team of credit analysts.

Requirements

Candidates must have a Master's degree in a related field and at least 3 years of experience in SQL, Python, and data analytics. Experience in machine learning techniques for credit risk management and monitoring model performance is also required.

Full Description

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. What You'll Do: Leverage advanced data analytics to derive insights and optimize credit strategies; Partner with Engineering on building effective risk model and credit risk capabilities; Monitor portfolio as well as macroeconomic trends impacting loan performance.Drive adjustments to our underwriting and marketing strategies to mitigate risk; Oversee adjustments to underwriting strategies to mitigate risk, advising on best practices and ensuring the strategies align with risk management goals; Manage the team’s involvement in supporting new product formation and market exploration; Provide mentorship, guidance, and support to a team of credit analysts, fostering skill development and ensuring high performance in credit strategy initiatives; Oversee team resources and manage workload distribution, ensuring timely completion of projects and alignment with organizational goals. May telecommute. Supervises direct reports. What we look for: Master’s degree (or foreign equivalent) in Data Science, Computer Science, Engineering or related field & 3 years of experience in the following: SQL, Python, or other scripting languages; Data mining and data visualization; Machine learning techniques for credit risk management; Leveraging advanced analytics to develop credit strategies; and Monitoring model performance. Base Pay Grade – O Equity Grade - 7 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 to $265,000 USA base pay range (all other U.S. states) per year: $191,000 – $241,000 #LI-DNI 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.

This job posting was last updated on 10/18/2025

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