Risk Management Jobs 2026 (Now Hiring) – Smart Auto Apply

What You'll Be Doing

• Develop and deploy predictive models across the credit lifecycle (acquisition, risk, and collections) with a focus on improving approval quality and loss performance.
• Translate model outputs and analysis into actionable credit strategy, including approval cutoffs, segmentation, and decision rules.
• Analyze portfolio performance (FPD, delinquency, loss) to identify key drivers of deterioration and recommend targeted actions.
• Evaluate tradeoffs between approval rate, loss, and profitability, and recommend strategies to optimize portfolio performance.
• Distinguish fraud risk vs credit risk, improving early default performance and reducing losses.
• Design and execute experiments (A/B tests, champion/challenger frameworks) to evaluate strategies and drive continuous improvement.
• Work with Product and Engineering to implement decisioning logic into production systems and ensure accurate execution.
• Monitor model and strategy performance over time, identifying drift, instability, or unintended impacts on portfolio outcomes.
• Collaborate cross-functionally with other departments to ensure decisions align with business goals and risk appetite.

What You Will Bring

Required

• Degree in Data Science, Applied Mathematics, Statistics, Economics, Computer Science or a related field
• 5-7 years of professional experience in Data Science, Analytics or a related field within FinTech or online lending space.
• Advanced proficiency in Python for programming, data analysis, and predictive modeling
• Proficiency in SQL, Excel and experience with data visualization tools
• Excellent knowledge in applied statistical methods and experience using various predictive machine learning techniques including: linear models, decision trees, boosting, and ensemble models
• Knowledge of optimization, stochastic processes, experimental design, A/B testing and bootstrapping
• Passion for keeping your skills up to date and exploring new methodologies
• The ability to distill complex problems and analysis into a clear and concise narrative

Preferred

• Experience in subprime consumer lending, fintech, payments, or another regulated financial services technology environment.
• Hands-on experience applying AI to credit risk management

Benefits &Perks

Compensation at Braviant is competitive and commensurate with experience. Details will be discussed with qualified candidates during the interview process. In addition, we provide:

• Comprehensive healthcare including medical, dental, and vision coverage
• Generous paid time off, including PTO, sick time, and 13 company holidays
• 401(k) with company contribution
• Participation in annual discretionary bonus plan
• Regular team and company gatherings