Sr Decision Infrastructure Analyst

LendingClub•San Francisco, CA

3d•$125,000 - $147,000•Hybrid

About The Position

As a Risk Infrastructure Sr Analyst, you’ll help build and maintain the decisioning infrastructure that powers critical business and risk decisions at Happen Bank. You’ll translate business strategies into decision logic, models, and data integrations, partnering across Risk, Operations, Engineering, and Control teams to deliver accurate and reliable changes to our decision systems. In this role, you’ll support implementation from requirements through testing and deployment while helping improve the quality, efficiency, and scalability of our decisioning capabilities.

Requirements

2+ years of professional experience in risk infrastructure, decision systems, software engineering, analytics, or a related field
Bachelor's degree or higher, or equivalent combination of education and experience
Hands-on programming experience with SQL, Python, PySpark, or similar technologies
Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions
You take ownership of your work and proactively identify opportunities to improve quality, efficiency, and outcomes
You collaborate effectively across technical and business teams and adapt your communication based on the audience and context
You have experience using AI tools to improve efficiency and solve problems, with an understanding of where they add value, where they fall short, and when outputs require additional validation
You maintain a high standard for data sensitivity, accuracy, and compliance and consider the implications of new tools and approaches before applying them

Nice To Haves

Experience with decision management platforms or business rules engines such as GDS Link, Provenir, Drools, Oscilar, PowerCurve, SAS ID, or ODM

Responsibilities

Partner with business stakeholders to translate policy and strategy requirements into clear technical and functional requirements
Design and code business rules, decision logic, and machine learning models on the decision platform
Develop test and deployment plans and validate implementations against defined quality and accuracy standards
Build, maintain, and troubleshoot APIs that connect internal and external data sources to the decision platform
Use AI-assisted tools responsibly to accelerate development and improve workflows while maintaining quality, accuracy, and appropriate oversight
Troubleshoot and resolve issues in partnership with Operations, Engineering, Risk, and Control teams
Analyze decision outcomes and build reporting dashboards that identify process gaps and opportunities for improvement
Support audits and regulatory compliance by maintaining clear documentation and evidence related to decision policies and implementations
Partner with offshore contract resources to support timely and accurate delivery of assigned projects