Decision Infrastructure Analyst

LendingClub•San Francisco, CA

19h•Hybrid

About The Position

This role sits at the intersection of technology, data, and credit risk. The successful candidate will help to build and maintain the decision systems that power how we evaluate and respond to members. You'll work in a fast-moving, agile team responsible for designing, building, and maintaining the platforms and data interfaces that turn business strategy into real-world decisions.

Requirements

0-1 years of experience in a technical, analytical, or decisioning role
Hands-on programming experience in SQL and Python is a must; Java and PySpark are a plus
AI tools are part of how you navigate the world; you use them to research, write, problem-solve, and learn faster, and you're ready to bring that to your work
Strong communicator who translates complex logic into plain language and aligns with non-technical business partners without losing accuracy
Understands how AI and decisioning models interact with credit risk, including their limitations and when model output should inform a decision versus drive it
Detail-oriented and rigorous; accuracy in decisioning has real consequences and you hold yourself to that standard
Comfortable working in ambiguity and agile environments where priorities shift and timelines are tight
Takes ownership end-to-end, from understanding requirements to confirming accurate production deployment
Bachelor's or master's degree in Computer Science, Information Technology, Business Analytics, or a related analytical field; or equivalent work experience

Responsibilities

Partner with business stakeholders to translate policies, strategies, and requirements into accurate, well-tested decisioning logic on the decision platform
Code, test, and deploy business rules, models, and strategies, owning quality from design through production
Build, test, and maintain APIs that connect internal and external data sources required for decisioning
Collaborate with the Modeling team to design and implement regression and machine learning models on the decision platform
Work alongside Engineering on transformation projects to design new requirements and validate the broader decision infrastructure
Use AI responsibly to analyze requirements, accelerate implementation, and surface opportunities to improve decisioning logic
Pull and analyze data to build reporting dashboards, identify process gaps, and support continuous improvement
Create project plans and set clear timelines for larger initiatives, keeping business partners aligned on deliverables
Extract and document decisioning evidence to support internal audits and third-party reviews
Troubleshoot and resolve issues raised by Operations, Quality Control, Risk, and Engineering