✔️ You’ll own portfolio risk monitoring, analyzing delinquency, bad rates, vintages, through-the-door performance, concentrations, exposure, utilization, and other key risk indicators
✔️ You’ll identify emerging risks and opportunities, perform root-cause analysis, and translate findings into concrete portfolio actions
✔️ You’ll design, implement, and measure credit strategies across the customer lifecycle, including credit line increases and decreases, exposure management, blocks/unblocks, inactivity rules, segmentation, policy cutoffs, and early-warning strategies
✔️ You’ll monitor and challenge credit models and decision strategies, analyzing performance, backtesting, calibration, segmentation, drift, and the effectiveness of model-driven decisions
✔️ You’ll use SQL and Python to independently analyze large datasets, build monitoring and decision-making tools, automate recurring analyses, and move from raw data to actionable strategies
✔️ You’ll use AI and automation to build smarter and more scalable Risk processes and tools. We’re looking for someone who enjoys experimenting, coding, and finding better ways to solve problems
✔️ You’ll monitor portfolio risk appetite, concentrations, covenants, and management indicators, translating complex portfolio dynamics into clear recommendations for senior stakeholders
✔️ You’ll work cross-functionally with Data, Product, Engineering, Finance, Operations, and Collections to take initiatives from analysis through implementation
✔️ We’re looking for a true builder mindset: someone analytical and technically strong who doesn’t stop at reporting a problem, but wants to understand it, design a solution, build it, and measure whether it worked