Decision Infrastructure Analyst

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., * 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

• 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

Paid parental leave, Parental leave, Health insurance, 401(k) matching, Vision insurance, Dental insurance, The target base salary range for this position is 103,000-120,000. The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of LendingClub's Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings).

We're creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way. We offer a competitive benefits package that includes medical, dental and vision plans for employees and their families, 401(k) match, health and wellness programs, flexible time off policies for salaried employees, up to 16 weeks paid parental leave and more.

The above locations are eligible offices for this role. The locations have been determined to foster in-person collaboration with this role's team or the related business lines. We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role's success, and remote placement will not be considered. LendingClub offers relocation, based on actual job level. Time Zone Requirements Primarily PT While the position will primarily work local hours, LendingClub is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary. Travel Requirements As needed travel to LendingClub offices and/or other locations, as needed.