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. Affirm, Inc. proudly includes Affirm, PayBright, and Returnly.
Affirm’s Machine Learning team solves problems critical to our business model – personalizing shopping experiences, detecting fraud, optimizing interest rates, and assessing creditworthiness in real time. Our innovative products necessitate the creation of novel machine learning solutions to drive both existing and new products.
What you’ll do
Use Affirm’s data to develop machine learning models that predict cash flows, financing programs, and optimize pricing for merchants.
Build financial forecasting applications for Affirm’s two-sided marketplace
Research ground breaking solutions and develop prototypes that drive the future of decisioning at Affirm
Implement and scale data pipelines, new features, and algorithms that are essential to our production models
Collaborate with the engineering, quantitative markets, merchant pricing, and product teams to define requirements for new products
Evaluate new data sources to use in a cost-effective way in our models to add value
What we look for
B.S. with 7+ years of industry experience, M.S. with 5+ years, or PhD with 4+ years
Proficiency in machine learning with experience in areas such as gradient boosting, deep learning, recommendation systems, computational advertising, reinforcement learning, financial forecasting, time series analysis, anomaly detection, monte-carlo simulations, and Markov decision processes
Strong programming skills in Python. Experience using frameworks for machine learning and data science like scikit-learn, pandas, numpy, XGBoost, TensorFlow, mllib
Experience with the AWS technical stack and data infrastructure such as MySQL, Spark, Kubernetes, Docker, and Airflow
Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams
The ability to present technical concepts and results in an audience-appropriate way
Persistence, patience and a great sense of responsibility – we build the decisioning that drives Affirm’s business!
Location- Remote U.S.
To apply for this job please visit boards.greenhouse.io.