Top Tech Jobs & Startup Jobs

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 Fraud Strategy Specialist will develop and manage fraud prevention strategies, enhance analytics, collaborate with teams, and ensure a seamless customer experience.

Manage and scale paid acquisition across Meta, Google, and TikTok. Design and run A/B tests, incrementality studies, and creative experiments. Optimize budgets, attribution, and channel performance while collaborating with creative teams and presenting insights to leadership.

As a Fraud Operations Investigator, you will handle customer inquiries, investigate suspicious transactions, and ensure swift resolution of issues, all while meeting SLA and QA targets.

Lead design and execution of loss mitigation and collections strategies, build predictive collections and CECL loss-forecasting models, align automated conversational contact strategies with Operations, manage credit loss budgeting and capacity planning, and evaluate/onboard third-party collections vendors.

The Fraud Investigations Specialist will lead data-driven investigations, build queries, and collaborate with teams to identify emerging fraud threats using SQL.

Design, build, and productionize stateful autonomous AI agents for a WhatsApp fintech product. Implement LLMOps, observability, containerized deployments, evaluation pipelines, performance/cost optimizations, and mentor junior engineers.

Lead quantitative credit analytics for a Send Now Pay Later (SNPL) product: build and maintain credit policies, pricing and NPV models, vintage analysis, portfolio monitoring, model integration/testing, and alternative data evaluation to optimize approval rates and manage portfolio health.

As a Fraud Strategy Specialist, you'll develop and oversee the fraud prevention strategy, lead data analysis, and collaborate with teams to enhance fraud detection and customer experience.

Analyze fraud trends and monitor metrics (fraud losses, false positives). Build dashboards, features, rules, and models to detect and prevent fraud. Perform human-in-the-loop reviews, collaborate with Risk Operations, Payments, Growth, and senior management, and improve operational feedback loops.