Own the full fraud policy lifecycle, from signal analysis and risk design to implementation and optimization, to protect all products and customer interactions.
Lead cross-functional fraud initiatives across Engineering, Product, Compliance, and external partners like Visa, serving as primary escalation for incidents.
Build fraud dashboards, mentor junior analysts, and drive alignment on risk decisions that balance exposure, customer experience, and regulatory requirements.
EarnIn is a fintech pioneer that builds products delivering real-time financial flexibility for those living paycheck to paycheck. The company has an experienced leadership team, world-class funding partners like A16Z and Matrix Partners, and is growing fast with a healthy core business.
Analyze large-scale on-chain data to identify anomalous transactions and develop robust detection mechanisms.
Use community discovery algorithms to identify associated malicious accounts and provide actionable intelligence.
Utilize supervised and unsupervised machine learning to detect irregular patterns across decentralized networks.
Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume. We are trusted by 300+ million people in 100+ countries and offer a range of products from trading and finance to education and Web3 features.
Design and execute structured evaluation frameworks to assess the quality and fraud-signal value of incoming data assets from vendor partners.
Build lift analyses, backtests, and champion/challenger comparisons to quantify the incremental value of new data signals against our existing fraud detection stack.
Collaborate with fraud leadership to define evaluation criteria and translate vendor data findings into actionable recommendations such as adopt, pilot, or decline.
Sardine is the leading agentic risk platform for fighting financial crime, unifying data across risk teams to stop fraud in real time and prevent AI-driven attacks. They are a remote-first company with hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo, valuing performance and self-motivated individuals.
Build and deploy machine learning models to detect and respond to fraud across the platform.
Design experiments to measure the impact of fraud interventions, balancing customer experience and loss reduction.
Collaborate with fraud operations, engineers, and product managers to translate model outputs into real-world mitigations.
Moniepoint is Africa's fastest-growing fintech, trusted by over 10 million business and individual accounts, processing billions in transactions monthly. They have a people-first culture focused on learning and inclusion, valuing diversity and employee well-being.
Recommend underwriting, line, and policy changes to grow approvals and usage using internal and external data.
Develop cross-product credit profiles and identify signals for better credit decisions.
Design and analyze experiments, turning results into strategic recommendations for portfolio growth.
OnePay is a consumer fintech platform offering banking, savings, credit, lending, investing, and crypto services. Backed by Walmart and Ribbit Capital, the company has a fast-paced, mission-driven culture with a focus on innovation and growth.
Establish and maintain the anti-fraud risk rule engine; monitor abnormal transaction behavior in real time.
Handle user fraud complaints and appeals; perform transaction tracing and fund flow analysis.
Optimize anti-fraud workflows; coordinate internal business units and external institutions.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products.
Analyze and classify escalated fraud cases from Compliance, Credit Operations, and Collections teams.
Identify, document, and analyze fraud patterns and modus operandi used by fraudsters.
Propose new signals, rules, and controls for fraud prevention, monitor performance, and validate effectiveness.
Vana is a financial technology company operating in digital credit and fraud prevention across multiple markets. The company fosters a data-driven, agile culture focused on continuous improvement and protecting clients.
Use SQL and other analytical tools to conduct in-depth analysis of customers, transactions, alerts, and risk ratings.
Develop, tune, and maintain transaction monitoring and sanctions screening models to improve detection and reduce false positives.
Partner with compliance, product, and data leaders to translate regulatory requirements into effective analytical frameworks.
Mercury is building a complete finance stack for startups, providing banking services through partner banks. As a fintech company, they focus on creating a safe and easy banking experience while protecting against bad actors, with a culture of high agency and adaptability.
Lead project-scale investigations of complex fraud events including coordinated rings and systemic patterns, from initial signal through root-cause analysis and leadership-ready readouts.
Serve as the senior investigative authority, setting the bar for case quality and acting as the default escalation point for the team's hardest cases.
Drive fraud rule and process changes by translating investigative findings into measurable controls, and represent Risk Ops findings to cross-functional leadership.
Tilt is a mobile-first fintech company that uses machine learning-powered credit models to assess financial potential beyond traditional credit scores, serving millions of customers worldwide. With a virtual-first, globally distributed team across 14 countries, Tilt fosters a culture of excellence, impact, and mutual respect.