Product Manager

Compensation

: $192,290.00 - $192,290.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



Founded in 2014, Octane Lending is a fintech startup with the vision of making consumer financing as painless as cash. Serving the $60B consumer powersports and agricultural vehicle spaces (motorcycle, ATV, tractor, mower etc.), our technology powers transactions in over 2000 dealerships across the country. Less than two years after launch, our platform has generated over $1B in loan requests and enabled thousands of customers to buy their dream products. We have raised $42M in venture capital from leading investors such as IA Ventures, Valar Ventures, and Contour Venture Partners and closed $145M in debt capital. We are seeking a credit system and data product manager to lead projects related to credit risk systems and credit data product development and implementations. The implementation manager will be a critical member of the Credit Risk team and will have the ownership of credit strategy and data requirements initiation, design, implementation and validation for origination, account management and collections systems. The manager will work with Technology team to ensure timely implementation of credit system and database projects, while leading the independent validation process to ensure quality and accuracy of implementation of credit strategies and data. The incumbent will have a specific focus on translating business requirements into decision, credit system and data platform specifications. Responsibilities + Maintain the credit system and data specification documents, and translate credit and data requirements into clear business specifications. + Perform user acceptance testing and production verification testing on all credit strategy and rules changes, and on data modifications. + Support new data integration into risk data platform, research and pull relevant data from multiple database to enable design and testing of new logic and requirements for reporting and analytics data fields. + Conduct repeatable and scalable production data quality audits to ensure accuracy and consistency. + Automate credit system rules and data validation processes using python, SQL, Excel and Tableau. + Fulfill data and change management requests and simulations per the credit team's requests. + Engage and lead with the Technology team to explore and implement a more robust solution when an opportunity presents. Requirements + Bachelor's degree in a quantitative field such as statistics, mathematics, operational research, computer science or engineering + 5+ years of managing credit-related system and data projects in consumer credit and risk industry with strong agile project management skills + A track record of taking initiative and driving results, and a desire to build, design and transform new risk capabilities into a mature state + Experience translating credit and data requirements into credit system functionalities and data table modifications + Strong SQL, Python and excel skills and hands-on experience in using analytical results to validate credit system and data accuracy and to pull data from data warehouses 2 + Strong analytical and critical thinking skills + Strong written and oral communication skills + Ability to work effectively independently and as part of product and tech team Benefits + A working environment filled with passionate, happy, smart people + Health Care Plan (Medical, Dental & Vision) + Retirement Plan (401k) + Life Insurance (Basic, Voluntary & AD&D) + Pre-Tax Commuter Benefits + Paid Time Off (Vacation, Sick & Public Holidays) + Short Term & Long Term Disability + Office snacks, full fridge, and drinks + Monthly team happy hours and lunches + Fun company outings like bowling, yoga, cycling, mixology, cooking classes, & more!
Associated topics: chief program officer, cpo, manage, manager, management, monitor, product manager, project manager, relationship manager, task * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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