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.
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.
Explore complex datasets to identify fraud patterns and behavioral signals.
Build and evaluate machine learning models for fraud detection across account opening and identity risk.
Write clean, well-tested code and work with engineering to bring models into production.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We have an amazing team of 25,200 people in 32 countries, with a people-first, inclusive and purpose-driven culture.
Investigate large datasets to identify fraud patterns and develop predictive features.
Build and evaluate machine learning models for fraud detection across account opening and identity risk.
Write clean Python/PySpark code and collaborate with teams to deploy models into production.
Experian is a global data and technology company powering opportunities for people and businesses worldwide, operating across financial services, healthcare, automotive, and more. They have an amazing team of 25,200 people in 32 countries with a people-first, inclusive culture.
Lead AI-driven workflow automation to reduce manual fraud operations effort.
Deliver investigative insights and proactive detection through data analysis.
Build operational dashboards to track KPIs and replace manual reporting.
Koalafi provides flexible lease-to-own financing for non-prime consumers through retailers. With over 200 teammates, they foster a culture of innovation, trust, and ownership.
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.
Own Trust & Safety policies, enforcement standards, and governance processes for the marketplace.
Analyze risk trends and incidents to turn data into actionable policy and product recommendations.
Partner on marketplace integrity, including fraud and abuse detection, referral abuse, and suspicious booking behavior.
Kindred is a members-only home swapping platform connecting trusted peers to exchange primary residences. Since 2022, it has grown to 300,000 members globally and raised over $150M, fostering a culture of high standards and inclusivity.
Own and evolve detection models that flag wash trading, collusion, and fraud across trading data.
Own partner-facing surveillance reporting end to end, evolving toward real-time monitoring.
Work directly with partners to validate true positives, calibrate detection quality, and tune thresholds.
NinjaTrader is an industry-leading trading platform and futures broker that empowers traders with cutting-edge tools. Since 2003, the company has grown to over 2 million users and fosters a dynamic culture focused on social connection, professional development, and employee recognition.
Serve as the analytical bridge between Sales and merchants, translating data into business cases and pricing models.
Partner with Merchant Success to build ROI analyses that support renewals and expansions.
Analyze product data and collaborate with product/engineering teams to drive roadmap improvements.
Extend is revolutionizing the post-purchase experience for retailers with AI-driven solutions in customer service, returns, and product protection. Backed by leading tech investors, the company works with over 1,000 merchant partners and is headquartered in San Francisco.
Serve as primary risk point of contact for card issuer side risk, including BIN fraud, transaction monitoring, and lifecycle risk control.
Design and deploy ATO risk control strategies across login, device, transaction, and account-change scenarios.
Collaborate with data and engineering teams to implement and tune risk models and rules.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume. Trusted by over 300 million users in 100+ countries, we are a remote-first, results-driven organization focused on increasing the freedom of money.
Lead and develop a team of 13–15 Fraud Associates through coaching, feedback, and performance reviews.
Monitor operational dashboards, identify gaps, and turn data into targeted coaching and process improvements.
Serve as an escalation point for complex fraud cases and collaborate with cross-functional partners to support customers.
A financial services company dedicated to protecting cardholders and reducing fraudulent activity through a specialized fraud operations team. It maintains a remote-first environment with a growing team of 13–15 Fraud Associates, emphasizing leadership, coaching, and operational excellence.
Serve as the named, persistent technical partner for strategic accounts, diagnosing workflows and preventing escalations.
Build technical success plans and run recurring health reviews with Customer Success Managers.
Translate complex technical findings into clear business value stories for stakeholders.
Sift is the AI-powered fraud platform securing digital trust for leading global businesses. The company serves more than 700 customers with a data network scoring 1 trillion events per year, fostering a diverse, equitable, and inclusive workplace.
Lead integration of external data sources and consent cleanup for reliable credit analytics
Use SQL, Python, and statistical models to shape credit policy and portfolio monitoring
Partner with cross-functional teams to improve credit decisions and early-warning signals
Jeeves provides corporate cards, cross-border payments, and spend management software for global businesses. Operating in 20+ countries with over 5,000 clients, it is a high-growth fintech backed by top investors like Andreessen Horowitz and Y Combinator.
Own fraud-related segments in the user segmentation system to distinguish suspicious activity from legitimate users.
Review and refine fraud signals such as IP spoofing, VPN use, and unusual play patterns to adapt to evolving threats.
Collaborate with product teams on verification tools and investigate flagged users to improve manual review processes.
Tripledot Studios is one of the largest independent mobile games companies, with a global team of over 2,500 across 12 studios and titles reaching millions of daily active users. The company values driven, detail-oriented people who love making games and is building a team-focused culture through its PuzzlePlay player rewards platform.
Own and clean the data foundation: integrate external credit, bank, and tax data with engineering.
Develop underwriting criteria, credit limits, and portfolio monitoring using SQL and Python.
Build dashboards, early-warning signals, and collection insights to reduce losses.
Jeeves is a stablecoin-native banking platform for global enterprises offering cards, payments, and treasury. With thousands of customers across 35 countries and $400M+ funding, it's a high-growth, relentless culture.
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.
Own policy optimization for member credit limits, balancing retention, churn, and risk exposure.
Design, run, and evaluate policy experiments and A/B tests, translating results into concrete policy changes.
Own forecasting and reporting infrastructure that keeps risk and portfolio performance visible to stakeholders.
EarnIn builds products that deliver real-time financial flexibility for people living paycheck to paycheck, pioneering earned wage access. It has a fast-growing, diverse culture with an experienced leadership team and backing from top investors like A16Z.
Own customer RFIs from intake through delivery, conducting rapid-turnaround investigations and long-term research into fraud schemes, threat actors, and criminal ecosystems.
Analyze fraud TTPs across account takeover, payment fraud, phishing, and other schemes, and produce concise, client-ready intelligence reports.
Help identify and evaluate new open, deep, and dark-web sources and work with collections, engineering, and product teams to improve intelligence at scale.
Overwatch Data is building the intel and risk teams of the future, combining reliable automation, AI agents, and creative technical experts to help financial institutions and digital-facing companies identify cyber-enabled fraud across the open, deep, and dark web. The company emphasizes collaboration across engineering, data science, product, and customer teams to turn fragmented data into timely, evidence-backed intelligence.
Own the analytical relationship end to end, from discovery to sustained delivery.
Pair with field engineering and product to build and validate analytical requirements.
Direct AI tools against live mission problems and train customer analysts.
Sayari provides the judgment infrastructure for trustworthy AI in economic security and commercial risk, resolving billions of primary-source records globally. Headquartered in Washington, D.C., with offices in London, Singapore, Tokyo, and Tel Aviv, it serves thousands of professionals across 35+ countries.
Analyze and investigate existing detection logic built on multiple interconnected signals and rule-based expressions.
Understand and map complex data flows, processing pipelines, and dependencies across enterprise systems.
Propose simplification and optimization approaches while preserving detection quality and operational effectiveness.
Sigma Software is a global cybersecurity company delivering enterprise-grade security and risk mitigation solutions. They operate in a data-driven environment with large-scale signal processing and detection systems, working with experienced international teams in a fast-paced setting.