Senior Data Scientist, Credit Risk Analytics

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop machine learning models aimed at managing credit and fraud risks.

• Utilize complex data sources, such as credit bureau reports and customer-provided information, to create effective credit and fraud strategies.

• Enhance credit performance and refine risk decision-making.

• Collaborate with engineering teams to implement models into production.

• Suggest and execute solutions that align with business constraints.

• Employ responsible AI practices in compliance with regulatory standards and lending best practices.

• Create tools and workflow solutions to boost data science productivity.

• Oversee credit risk models in a production environment.

• Extract insights from data to influence key business metrics.

• Evaluate the efficacy and relevance of machine learning algorithms and features across various data sources.

• Perform ad-hoc analyses related to risk management, investor services, operations, and corporate development.

• Engage in recruiting, departmental, technical, and team/virtual interviews.

⛳️ Requirements

• A minimum of 3 years of experience in fintech, finance, or other high-impact domains utilizing statistical and machine learning predictive techniques; educational background will also be considered.

• Experience in consumer lending, particularly with unsecured personal loans or credit cards, is advantageous.

• An advanced degree (M.S./PhD) is preferred, ideally in statistics, computer science, engineering, physical sciences, economics, or a related technical discipline.

• For senior level: M.S. with 6+ years of experience or PhD with 3+ years of experience.

• Proficient in a statistical programming language, particularly Python.

• Strong expertise in database languages, especially SQL.

• Thorough understanding of coding best practices and model documentation standards.

• Ability to convey technical concepts clearly and concisely to team members and senior management.

• Competence in collaborating across various functions and building robust relationships.

• Capability to work independently in a fast-paced environment while managing multiple projects effectively.

• Familiarity with regulatory guidelines and a commitment to reproducible research.

• Self-driven, results-oriented, enthusiastic, and innovative.

• International candidates may be considered; Prosper will offer green card sponsorship.

🏝️ Benefits

• 401(k) with a 5% company match.

• Flexible time off policy.

• Paid parental leave.

• Annual wellness allowance.

• Comprehensive health insurance coverage.

• Access to Udemy for professional development.

• Childcare assistance provided.

• Pet insurance options available.

• Additional savings opportunities through Beneplace.

• Flexible work arrangements, including options for fully remote work or positions in San Francisco or Phoenix offices.

• Performance-based bonuses.