Senior Risk Management Analyst

Summary

Join Oportun as a Senior Analyst of Risk Management and pioneer innovative risk strategies for our personal loan products. You will design risk strategies that go beyond traditional credit scores, gaining exposure to pricing, marketing, and underwriting. You'll develop valuation frameworks, dynamic risk assessment models using alternative data, and pricing strategies. This role involves partnering with various teams, presenting findings to stakeholders, and monitoring portfolio performance to optimize profitability and credit access for underserved communities. This is a fast-paced opportunity to make a meaningful impact in a growing fintech company.

Requirements

• Bachelor’s Degree in Engineering, Mathematics, Economics, Finance, or other analytical discipline
• 3+ years of experience in an analytic role, preferably in risk management of the financial services industry
• Very strong attention to detail, experience developing processes to implement strategy
• A self-starter - you naturally take ownership, look for opportunities, and drive recommendations through execution
• Adaptive to a fast-changing environment and have the drive to get things done
• Flexible in prioritizing work, managing multiple tasks and meeting deadlines
• Excellent SQL (or similar language) programming skills
• Advanced Microsoft Excel and PowerPoint skills
• Strong written and verbal communication skills

Responsibilities

• Gain exposure to key areas such as risk underwriting, pricing, and direct mail marketing with the opportunity to specialize and focus on a specific area based on interest and business needs
• Partner with product, data science and engineering to design and implement tests; turn learnings into actionable strategies, presenting findings to stake holders to influence decision making
• Develop and maintain valuation frameworks to determine profitability at the margin; recommend changes to risk strategies to maximize profitability and ensure required return on capital for all risk segments
• Develop dynamic risk assessment frameworks using alternative data to evaluate creditworthiness and optimize direct mail marketing/targeting
• Design strategy ramp-up to support the expansion in new channels, new geographic regions and/or new partner sources while ensuring portfolio resilience
• Support the development of pricing strategies and practices, balancing revenue optimization with enterprise objectives and customer experience
• Monitor portfolio performance, refining strategies to minimize defaults while maximizing credit access for the underserved

Preferred Qualifications

• Advanced degree in a quantitative discipline
• Proficiency in Python