Analyze large-scale behavioral, transactional, and interaction data to uncover fraud signals.
Develop monitoring frameworks and dashboards to respond swiftly to emerging fraud threats.
Evaluate AI review agent quality and partner with Machine Learning to improve model features.
Extend provides AI-driven post-purchase solutions for retailers, including fraud detection, automated customer service, returns, and product protection. They work with over 1,000 merchant partners, are backed by prominent tech investors, and are headquartered in downtown San Francisco.
Own fraud performance for depository products, monitoring losses, approval rates, false positives, and customer friction.
Build scalable data models, dashboards, and metrics to provide visibility into fraud risk and portfolio health.
Develop fraud strategies and partner with Product, Engineering, ML, and Operations to improve detection.
Affirm is a financial technology company offering consumers a clear, predictable way to pay over time with no hidden fees. We are a remote-first company with a culture focused on care, transparency, and flexibility.
Build credit scoring models, improve fraud detection, and design A/B tests for promotions.
Partner with product and operations teams to generate insights and drive decisions.
Take ownership of analytics projects from scoping to communicating findings to stakeholders.
Wave is building financial services to make Africa the first cashless continent, offering mobile money that works anywhere. With millions of users across 9 countries and a rapidly growing team, we foster autonomy and are backed by world-class investors.
Develop deep expertise in fraud patterns across customer traffic.
Improve long-term fraud detection quality across DataDome's product line.
Handle customer requests for fraud case analysis and reporting.
DataDome provides real-time bot and agent trust management, giving businesses full visibility and control over all web traffic. It is an international, customer-focused company trusted by enterprises like Etsy, PayPal, and Soundcloud.
Shape machine learning strategy and governance across credit, fraud, marketing, and growth at Dave.
Build and improve credit models by balancing portfolio performance, profitability, and member outcomes.
Mentor scientists and advance responsible modeling with Legal, Compliance, and Risk partners.
Dave is a financial app building affordable, transparent financial products for Americans living paycheck to paycheck. It is a virtual-first fintech company with a member-centric, collaborative culture focused on leveling the financial playing field.
Conduct research to develop new functionalities and improve existing technologies across fraud, voice/speech, video, authentication, and deepfake detection.
Design, implement, and evaluate deep learning algorithms and ML models tailored to complex datasets.
Partner with research and engineering teams to transition prototypes into production-ready systems and publish findings in top conferences.
Pindrop is a cybersecurity company delivering continuous identity verification across voice, video, and digital interactions. Backed by leading investors and protecting billions of interactions annually, we maintain a remote-first culture and focus on innovative security research.
Own the enforcement lifecycle for defined abuse areas, from problem framing and signal discovery to model development, rollout, and monitoring.
Analyze large-scale behavioral, content, account, and network data to identify adversarial patterns and emerging threats.
Build and evaluate decision systems using statistical, ML, or GenAI methods, and partner with engineering to productionize them.
Reddit is a community of communities built on shared interests, passion, and trust. With 100,000+ active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information.
Lead and develop a team of fraud analysts, managing performance and serving as an escalation expert for complex attacks.
Own and improve investigation standards, playbooks, and tools for incident response, case review, and rule design.
Partner with Data Science, Product, and Engineering to turn fraud findings into scalable model and product improvements.
Signifyd helps merchants grow confidently by providing fraud prevention and frictionless shopping experiences, protecting revenue and customers. With thousands of merchants across 100+ countries and billions of transactions processed securely each year, the company is purpose-driven and values empathy, creativity, and collaboration.
Develop and deploy credit scoring, affordability, and behavioural models to support underwriting, pricing, and collections.
Design and run experiments to optimise approval rates, loss rates, and profitability.
Partner with product squads to embed decision logic into real-time systems.
Moniepoint Inc. is Africa's all-in-one financial platform, helping 20 million businesses and individuals access payments, banking, credit, and business management tools. As Nigeria's largest merchant acquirer, it processes over $250 billion in annual transaction value, with a culture that prioritizes people and values every voice.
Analyze large, diverse datasets on business cash flow, credit, and repayment to identify product opportunities.
Partner with product and engineering to develop and commercialize data products and predictive models.
Lead Ocrolus’ analytics and data science efforts as a subject matter expert on SMB credit and mentoring.
Ocrolus is an AI platform for lenders, automating workflows with over 99% accuracy on nearly one million monthly credit applications. Trusted by 400+ customers, it is a remote-first team of builders and problem solvers.