Decision Infrastructure Analyst

Current Employees of Happen Bank: Please apply via your internal Workday AccountHappen 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** This position is not eligible for relocation assistance. **We are looking for a Decision Infrastructure Analyst to join the team. You will work on a dynamic, agile team that’s responsible for design, build, and maintenance of the Decision Systems and Data Interfaces to enable business objectives. You will code and test business strategies, policies, models, and internal/external APIs required for decisioning. You will partner with a variety of business partners to understand their needs, planning, ensuring quick and accurate implementation of their business logic and Change requests.What You'll DoInterface with the business partners to understand their policies/strategies and requirementsDesign and code the business strategies (rules and models) on the decision platform according to the business requirementsEnsure accuracy of implementation by testing the strategies with targeted samples provisioned by the businessDocument the Project functional/technical designs and deploy business strategies into the Production environmentFor Transformation projects, collaborate with Engineering to design the build out of the new requirements and test the wider ecosystem and decision infrastructureBuild/Test/Maintain APIs to access internal and external data sources required for decisioningTeam up with Modeling to design and implement the Regression and Machine learning models on decision platformFor large scale projects, support creation of project plans and map out timeline to set business partner expectations on deliverablesTroubleshoot and resolve issues reported by Operations, Quality Control, Risk Management and Engineering teamsPull data to build reporting dashboards to perform analytical work and work to identify gaps / opportunities in the processExtract data and document evidence on the decisioning policy for the internal audits and external 3rd party auditorsDeliver the assigned projects with utmost quality per defined thresholds to avoid negative impact on the businessWork with offshore contract resourcesAbout You2+ years of experience of hands-on programming in Python and SQLBachelor’s degree or higher in Computer Science, Information Technology, Business Analytics, or related analytical field; or equivalent work experienceExcellent written and verbal communication skillsAbility to clearly articulate technical and business topics, and effective cross-functional collaboration Nice to haveProgramming skills using Java and PySparkDecision systems or risk systems experienceWork Location San FranciscoThe 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. This position is not eligible for relocation assistance.Time Zone RequirementsPrimarily PTWhile 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 RequirementsAs needed travel to LendingClub offices and/or other locations, as needed.CompensationThe 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.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 [email protected] 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. 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