Senior Credit Risk Analytics Manager

Summary

Join NinjaHoldings' Risk & Analytics team as an analytics leader. Develop and own credit risk strategy for a lending portfolio, continuously improving approval criteria and portfolio performance. Establish performance metrics and automated reporting dashboards. Lead and manage a team of risk analysts. Conduct advanced data analytics to evaluate trends and optimize portfolio risk. Collaborate with cross-functional teams to identify insights and make recommendations to senior leadership. Design A/B testing strategies and work with external vendors. Regularly interact with senior leadership to manage expectations and present solutions.

Requirements

• Bachelor's degree in a quantitative discipline required (e.g., math, statistics, analytics, quantitative finance, engineering, or other quantitative fields)
• 8+ years of experience with data analytics in Credit Risk, supporting risk strategies for consumer lending products
• Hands-on, detail-oriented leader with 4+ years of experience in leading a team of analysts
• Proven track record of developing and implementing effective risk management strategies
• Established experience with relational databases and SQL
• Programming experience with Python
• Strong quantitative and problem-solving skills with key attention to detail
• Experience supporting and working with cross-functional teams in a dynamic environment
• Excellent communication skills and ability to interface with business units and senior leadership (C-suite) across the organization
• Ability to effectively manage multiple cross-functional projects with tight deadlines

Responsibilities

• Develop and own credit risk strategy for a lending portfolio and continuously iterate to improve approval criteria, credit limit assignment strategies and portfolio performance
• Establish performance metrics, develop automated reporting dashboards using SQL and Python to monitor portfolio performance
• Hire, train and manage a team of risk analysts to build mature credit risk management practices, with a focus on quality and scalability
• Conduct analysis using advanced data analytics to evaluate trends in portfolio performance and provide recommendations to optimize portfolio risk based on company targets
• Work with cross-functional teams to explore new ways of finding insights from data, identify patterns and trends, and make recommendations to senior leadership
• Design A/B testing strategies for underwriting experiments, evaluate impact and provide recommendations
• Work with external vendors to prioritize and manage product evaluation and data studies
• Regularly work with senior leadership (C-Suite) team members to manage expectations around delivery and present solutions

Preferred Qualifications

• Advanced degree in a quantitative discipline (e.g., math, statistics, analytics, quantitative finance, engineering, or other quantitative fields)
• Experience working with specialty finance or FinTech

Benefits

• Competitive salary and benefits package
• Flexible, remote work
• Fun, fast-paced work environment
• Dynamic start-up culture
• Convenient downtown Chicago office located in the heart of the city