Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead fraud detection and mitigation for a conversational BNPL product. Define fraud typologies, own repayment and chargeback analytics, manage fraud KPIs, design operational policies, collaborate on ML models and decisioning workflows, and coordinate SARs and compliance reporting.

Lead fraud detection and mitigation for a conversational Send Now Pay Later product: define first-party fraud typologies, own repayment and chargeback analytics, manage fraud KPIs, design operational policies, integrate ML and decisioning tools (Taktile), and coordinate SARs and compliance reporting.

Lead credit analytics for the Send Now Pay Later product: build and maintain credit policies, pricing models, vintage and NPV analyses, executive reporting, model integration and testing, and explore alternative data to optimize approval rates and portfolio health.

Lead credit analytics for the Send Now Pay Later product: build and optimize valuation, vintage and NPV models; manage credit policies, portfolio monitoring, and NPL reporting; integrate and test scoring models with engineering/data science; and research alternative data to improve predictive performance.

Lead fraud detection and mitigation for a conversational BNPL product: define fraud typologies, analyze repayment/chargeback trends, own fraud KPIs, design policies, collaborate on ML models and decisioning workflows, and coordinate SARs with Compliance.

Lead fraud risk for a conversational lending product (SNPL): define first-party fraud typologies, analyze repayment and chargeback trends, own fraud KPIs, design automated/manual blocking policies, coordinate ML/rules with central Fraud and Data teams, and liaise with Compliance on SARs and loan abuse.

The Head of Fintech Partnerships will oversee the financial infrastructure, manage relationships with various financial vendors, and lead partnerships to enhance Felix's payment capabilities.

Lead credit analytics for the Send Now Pay Later product: deliver executive portfolio health reporting, NPL trend analysis, and financial/vintage/NPV modeling. Design end-to-end credit frameworks and acquisition/customer management policies, monitor cohort performance, integrate and test ML scorecards with engineering, and evaluate alternative data sources to optimize approval rates and limit defaults.

Lead loss mitigation, predictive collections, and loss forecasting (CECL) for consumer lending. Build data models and contact strategies, align conversational operations, manage credit loss budgets, vendor selection, and present risk insights to executive stakeholders.

Design and own loss mitigation, predictive collections, and CECL loss forecasting. Partner with Operations to implement conversational contact strategies (WhatsApp/SMS), build propensity-to-pay and recovery models, manage credit loss budgeting and capacity planning, and evaluate/onboard third-party collections vendors and software to protect capital and optimize recoveries.