The Portfolio Risk Analytics Lead is a key member of the Flex Risk Management Leadership Team (reports to the Chief Risk Officer) who will have the opportunity to take the intelligence engine at Flex to a level that rivals the best in class. Core Responsibilities • Own end-to-end portfolio risk analytics for Flex's credit card book across small business and consumer segments - end-to-end meaning full lifecycle visibility, from pre-acquisition through charge-off: • Acquisition & application flow: attribution of applicant volume by channel and marketing source; approval rate and decline reason analysis; segmentation of the incoming credit population to inform policy calibration • Credit policy & line assignment: analyze approval thresholds, bureau cutoff performance, and risk-tiered line sizing; identify where policy is over- or under-serving the target credit population • Multi-relationship context: incorporate existing Flex relationship data - payment history, product usage, behavioral signals - into credit decisioning and line management frameworks • Spend, authorization & usage: monitor authorization patterns, spend velocity, and category mix as leading indicators of both credit quality and fraud risk; identify anomalies at the obligor and segment level • Payment behavior & utilization: track minimum payment rates, payment-to-balance ratios, revolve propensity, and utilization trends as core indicators of borrower stress or strength • Portfolio performance & loss: maintain vintage curves, roll rate matrices, and delinquency migration analysis; own loss forecasting and reserve calibration inputs • Charge-off & recovery: analyze loss emergence patterns by segment, vintage, and acquisition cohort; incorporate recovery expectations into net loss projections • Build and maintain early warning frameworks that surface emerging credit deterioration before it appears in lagging indicators - translating behavioral and transactional signals into actionable portfolio triggers • Synthesize data across sources - financial statements, open banking, 3rd party, transaction-level, behavioral, and macro - to construct a coherent view of portfolio health; fill analytical gaps intelligently when data is sparse or contradictory • Lead periodic portfolio reviews: design the analytical narrative, own the underlying data, and present findings with clear risk implications to credit committees and senior leadership • Develop credit risk segmentation - by industry, vintage, utilization band, payment behavior, and obligor type - to enable more precise limit management, pricing, and loss reserve calibration • Partner cross-functionally with Underwriting, Engineering, Product, Finance, and L&C to ensure portfolio risk visibility is embedded in upstream decisions, not surfaced reactively • Contribute to stress testing and scenario analysis: model portfolio performance under adverse conditions and translate output into concrete exposure and loss estimates • Serve as the internal SME on credit card analytics - establishing standards for how the portfolio is measured, reported, and interpreted as the book scales Qualifications • This role sits in the foundational build path of core risk management disciplines, and we expect significant upward potential for the right candidate. The emphasis is on finding colleagues with a strong foundation more than a 'minimum number of years' constraint. We can work with folks who have 7-15 years of hands-on credit card risk analytics experience across consumer and small business; direct exposure to both a bank or bank-issued program and a fintech lender strongly preferred • Subject matter expertise in credit card metrics - vintage curves, roll rates, loss forecasting, utilization dynamics, payment hierarchy - built through direct ownership of these analyses, not observation • Analytically self-sufficient: proficient in SQL and Python or R, comfortable working with large and messy datasets, and capable of building from raw data rather than consuming pre-built dashboards • Understands the distinct analytical demands of SMB credit: cash flow seasonality, owner-business financial entanglement, and the limits of bureau data for thin-file entities Mindset • Operates at a senior thinking level relative to peer cohort - brings a point of view, challenges assumptions, and moves without waiting to be directed • High quantitative aptitude with strong intuition for when outputs don't pass the smell test; catches anomalies early • High-energy, end-to-end owner who thrives in environments where infrastructure is still being built and the analytical agenda isn't fully handed to you $150,000 - $250,000 a year We believe in the culture of ownership at Flex. All employees are given Equity in the company in addition to the Base Compensation.