Sr Technical Analyst
LendingClub
San Francisco, CAPosted Discovered via the company's careers siteMatch locked
HybridFull time2+ years exp
Current Employees of Happen Bank: Please apply via your internal Workday Account
Happen Bank (formerly LendingClub) is built around a simple purpose: to clear the way to help people turn intention into action, and action into financial progress. That means offering focused products, a frictionless mobile-first experience, and clear terms with no gotchas. Respect and fairness is part of our DNA, and that ideal shapes how we work, how we treat each other, and how we invest in our employees and our community. Join us in using data, bold thinking, and a commitment to innovation to help clear the way for millions of Americans to achieve more.
About the Role
As a Sr Decision Infrastructure/Technical 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.
What You'll Do
- 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
About You
- 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 Have
- Experience with decision management platforms or business rules engines such as GDS Link, Provenir, Drools, Oscilar, PowerCurve, SAS ID, or ODM
Work Location
San Francisco
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.
Time Zone Requirements
Local hours (PT)
While the position will primarily work local hours, Happen Bank is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary.
Travel Requirements
As needed travel to Happen Bank offices and/or other locations, as needed.
Compensation
The target base salary range for this position is 125,000-147,000. 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 Happen Bank's Total Rewards package. You may also be eligible for 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.
#LI-Hybrid
#LI-JH1
Happen Bank is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system.
We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at interviewaccommodations@happen.com.
Notice on AI Tool Use
For select roles and locations, candidate interviews may be recorded, transcribed and summarized by tools such as artificial intelligence (AI) to assist our hiring managers with the application process.
You will have the opportunity to opt out of recording, transcription, and summarization prior to any scheduled interviews. We will not discriminate against you if you choose to opt out.
During the interview, we will collect the following categories of personal information from or about you: contact information, identifiers, professional and employment-related information, sensory information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment.
We will only share your interview, transcription, or summary with persons whose expertise or technology is necessary to process your application, evaluate your fitness for a position, and administer or support the tool. We will not sell your personal information or disclose it to any third party for their marketing purposes. For more information about how we will handle your personal information, please refer to our Privacy Disclosure .
We will delete any recording of your interview promptly but in no event later than 30 days after making a hiring decision.
Not included in the source posting: about the role, what you'll do, qualifications, benefits.
Skills
artificial-intelligencemachine-learningpythonsql
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.