Staff Machine Learning Engineer (Modeling), Afterpay Risk
Block
about 1 month ago
San Francisco, CA, USA
Staff+
H1B Sponsor
Base Salary
$277k - $415k/yr
Responsibilities
- Shape next-generation lending decision frameworks using advanced analytics and machine learning.
- Analyze large datasets to influence underwriting strategy and strengthen ecosystem safeguards.
- Lead signal discovery and experimentation to identify evolving risk patterns.
- Collaborate with Product, Engineering, and Operations teams to enhance trust and portfolio health.
- Mentor fellow scientists and modelers, contributing to modeling standards and best practices.
- Drive solutions from problem framing and design through deployment and iteration.
Requirements
- Bachelor's degree in a quantitative field; Master's or PhD preferred.
- 10+ years of industry experience in risk, fraud, or credit underwriting.
- Deep expertise in machine learning methods and statistical modeling.
- Strong analytical skills with experience in designing automated validation frameworks.
- Excellent communication skills for explaining complex concepts to diverse stakeholders.
- Hands-on experience with agentic workflows and automation components.
Benefits
- Fully remote work for candidates based in the US or Canada.
- Medical insurance and flexible time off.
- Retirement savings plans and modern family planning options.
- Opportunities for professional development and mentorship.
Tech Stack
AWSGoogle Cloud PlatformNumPyPandasPythonscikit-learnSQLTensorFlow
Categories
AI & MLData Science