This position may no longer be available
Posted . It may have been filled, expired, or closed.
This position may no longer be available
Posted . It may have been filled, expired, or closed.
Type
FULL TIME
Work Style
Remote
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:
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.
What we look for:
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.
Base Pay Grade – K
Equity Grade - 4
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: $140,000-$190,000
USA base pay range (all other U.S. states) per year: $128,398-$174,000
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:
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.
Prepare for your Analyst I, Full Stack interview at Affirm.