Data Scientist - Portfolio Consumer (Hybrid)
$87k - $110kEnova
Chicago, IL We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time. About the role: We are seeking a talented Data Scientist to join our Credit Risk Modeling team. In this role, you will develop, enhance and test our models for use in new customer acquisition and managing our existing customer portfolio. Our team focuses on ways to drive growth while balancing risk. You will independently dive into open-ended problems in order to present recommendations to executives and actively manage the credit models and offer generation that power Enova’s business. You will demonstrate the ability to interpret and organize data, and communicate it effectively to cross functional teams to solve business problems, provide requirements, and support implementation. Our models power our lending decisions, providing critical risk insight to enable competitive and profitable loan offers. Your role will be essential in improving and managing this fundamental area of our business. Key responsibilities: Develop and refine proprietary models to assess customer credit profile Collaborate closely with the Strategy and Operations team to drive new initiatives Design and implement A/B testing frameworks to evaluate the performance of our models and product configurations, analyzing outcomes to drive continuous improvement Communicate insights and recommendations to senior management, providing a data-driven perspective on customer risk and product development strategies Requirements: Degree in Statistics, Mathematics, Economics, Computer Science, or a related field 3+ years of experience in Data Science, Analytics or related field Advanced programming skills and the ability to write customized programs for meaningful data analysis and predictive modeling (Python) Experience working with relational databases, such as SQL Excellent knowledge in applied statistical methods and machine learning models Ability to improve your work flow and delivery timelines with AI tools. Strong problem-solving skills and the ability to work independently in a fast-paced, dynamic environment Experience in financial services, fintech, or a related industry preferred Compensation: The budgeted annual salary range for this position is $87,000 to $110,000. Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detailhere. Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. Health, dental, and vision insurance including mental health benefits 401(k) matching plus a roth option (U.S. Based employees only) PTO & paid holidays off Sabbatical program (for eligible roles) Summer hours (for eligible roles) Paid parental leave DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova) Employee recognition and rewards program Charitable matching and a paid volunteer day…Plus so much more! It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. #J-18808-Ljbffr Enova
$100k - $160k
...role reports into a Director of Data Science & Analytics. The... ...requires an understanding of US consumer lending and credit risk... ...management practices. This is a hybrid position and involves regular... ...through the consumer lending portfolio lifecycle, leveraging a...SuggestedFull timeTemporary workWork experience placementWork at officeFlexible hours2 days per week- BMO Financial Group is seeking a Data Scientist / Portfolio Risk Manager in the United States to analyze consumer loan portfolios, monitor performance and develop credit recommendations aligned with risk appetite and policy. The role combines quantitative modeling, data...Suggested
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...for the Intelligent Delivery Platform. The ideal candidate will have extensive experience in data engineering along with strong interpersonal and communication skills. This hybrid position includes responsibilities like creating and optimizing data pipelines while...- Intelligent Generation is seeking a Data & AI Engineering Lead to establish the data and agent foundation for POWR:Suite, a platform enhancing battery energy storage efficiency. This hybrid role involves leadership in designing data systems, overseeing AI capabilities,...
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