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The Portfolio ML team manages and optimizes the flow of loan opportunities across Affirm-owned and operated properties. We build models, tools, and libraries to support portfolio management actions that balance unit economics, product growth, and user experience. We power ROA-based decisioning; real-time and offline conversion rate prediction; counterfactual portfolio simulation; and the valuation of loans. We sit within the Decisions Foundations org.
What You'll Do
Use Affirm’s proprietary and other third party data to develop machine learning models that manage and optimize the flow of loan opportunities across Affirm-owned and -operated properties
Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems
Research ground breaking solutions and develop prototypes that drive the future of portfolio decisioning at Affirm
Implement and scale data pipelines, new features, and algorithms that are essential to our production models
Collaborate with the engineering, credit, and product teams to define requirements for new products
What We Look For
Proficiency in machine learning with experience in areas such as Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration. Domain knowledge in credit risk, portfolio management, learning to rank, and personalization is a plus
Strong engineering skills in Python and data manipulation skills like SQL
Experience using distributed systems like Spark or Ray is a plus
Experience using open source projects and software such as scikit-learn, pandas, NumPy, XGBoost, Kubeflow
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 strong sense of responsibility – we build the decision making that enables consumers and partners to place their trust in Affirm!
Pay Grade - USA29
Employees new to Affirm or promoted into a new role, typically begin in the min to mid range.
USA base pay range (CA, WA, NY, NJ, CT) per year:
Min: $138,800
Mid: $173,500
Max: $208,200
USA base pay range (all other U.S. states) per year:
Min: $124,900
Mid: $156,100
Max: $187,300
#LI-Remote
Full Time
Lending & Credit
$123k-148k (estimate)
04/25/2024
07/03/2024
affirm.com
SAN FRANCISCO, CA
1,000 - 3,000
2003
MAX LEVCHIN
$50M - $200M
Lending & Credit
The job skills required for Software Engineer II (Portfolio ML) include Python, Open Source, Futures, SQL, etc. Having related job skills and expertise will give you an advantage when applying to be a Software Engineer II (Portfolio ML). That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Software Engineer II (Portfolio ML). Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Software Engineer II (Portfolio ML) positions, which can be used as a reference in future career path planning. As a Software Engineer II (Portfolio ML), it can be promoted into senior positions as a Software Engineer III that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Software Engineer II (Portfolio ML). You can explore the career advancement for a Software Engineer II (Portfolio ML) below and select your interested title to get hiring information.