Analyze fraud risk trends across programs using enrollment, payment, and survey data.
Design and maintain fraud-risk indicators and collaborate with data engineering and product teams.
Translate findings into clear recommendations for stakeholders and support fraud investigations.
GiveDirectly delivers cash transfers directly to people living in poverty across 15 countries. The organization is one of Time100's Most Influential Companies of 2026, with a candid, analytical, and non-hierarchical culture.
Monitor transactions and customer accounts to identify and investigate suspicious or fraudulent activity.
Utilize fraud detection tools and SQL to analyze large datasets for patterns and anomalies.
Develop and implement fraud prevention strategies and stay updated on emerging threats.
Sezzle is a fintech company revolutionizing shopping with interest-free installment plans to financially empower the next generation. They are building an innovative, dynamic team passionate about creating a unique shopping journey.
Prototype, evaluate, and deploy machine learning models for fraud detection with ongoing monitoring.
Design experiments to balance customer experience and fraud loss reduction.
Build anomaly detection systems to surface novel fraud vectors before scaling.
Moniepoint is Africa’s fastest-growing fintech, processing billions of Naira monthly with over 10 million accounts. They prioritize employee well-being and foster an inclusive culture.
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.
Analyze fraud trends and risk signals to identify emerging threats and control gaps.
Design, tune, and evaluate fraud rules and detection strategies.
Partner with cross-functional teams to implement controls and improve outcomes.
Wave helps small businesses thrive so the heart of our communities beats stronger. They work in an environment buzzing with creative energy and inspiration, valuing diversity and inclusion.
Partner with the Business Unit Lead to identify gaps in decisioning performance and implement solutions.
Build production machine learning models to identify fraud in collaboration with other data scientists.
Communicate complex ideas to a variety of audiences, from Customer Success to Sales.
Signifyd helps merchants confidently grow their businesses by building trusted relationships with customers. Their advanced technology creates frictionless shopping experiences, and they are trusted by thousands of merchants across over 100 countries.
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.
Assess brand, compliance, fraud, and financial risk to determine credit exposure on new and existing merchants.
Use business credit reports, financial documents, and investigative tools to conduct risk assessments of merchants.
Investigate and leverage new third-party data sources to evaluate merchant financial risk.
Affirm is reinventing credit to make it more honest and friendly, offering consumers flexibility to buy now and pay later without hidden fees. The company is a remote-first financial technology firm with a focus on employee well-being and inclusive culture.
Own and prioritize the analytics portfolio for a significant product area, defining success and identifying investment opportunities.
Lead complex analyses balancing growth, credit performance, and unit economics, translating findings into actionable business cases.
Build scalable data models, metrics, and AI-assisted workflows while mentoring analysts and driving alignment across teams.
Affirm is a financial technology company that reinvents credit by offering buy now, pay later services without hidden fees or compounding interest. As a public company, Affirm fosters a data-driven culture focused on growth, innovation, and cross-functional collaboration.
Execute operational risk and fraud review workflows across financial products, including identity verification and account risk handling.
Perform manual investigations into suspicious behavior, application fraud, and account misuse.
Monitor fraud, KYC, and operational dashboards to identify trends and emerging threats.
Super.com is a fintech company that helps maximize lives by offering financial products and travel services. It is a fast-paced, high-growth tech company that values career progression and employee well-being.
Develop and optimize fraud prevention strategies using advanced analytics and machine learning.
Monitor fraud trends and client portfolios to identify emerging threats and recommend mitigation measures.
Serve as a fraud risk expert, providing analytical findings and recommendations to stakeholders.
The partner company specializes in fraud prevention and risk analytics for financial institutions, operating in a fast-paced payments environment. They are a remote-first organization with a focus on collaboration and work-life balance.
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.
Direct daily operations of the Shopper Risk Operations team, managing fraud prevention and performance.
Analyze trends and advise management on process and product improvements to reduce chargebacks.
Coach team members, maintain staffing levels, and ensure chargeback deadlines are met.
Sezzle is a fintech company that provides interest-free installment payment plans, aiming to empower consumers and increase merchant sales. It fosters a dynamic, innovative culture with a rapidly growing team of high-performing individuals.
Apply deep learning and foundation models to solve fraud detection and financial risk problems using large-scale behavioral and sequential datasets.
Take models through the complete ML lifecycle including data preparation, pretraining, deployment, and production optimization.
Collaborate with cross-functional teams and clients to translate model capabilities into actionable risk decisions.
The company is a fintech organization focused on fraud detection and financial risk using AI and deep learning. It operates with a remote-first culture and a collaborative, autonomous team.
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.
Proactively hunt for advanced threats and dissect complex fraud vectors using hypothesis-driven threat hunting operations.
Apply and enrich the FT3 taxonomy to standardize threat intelligence across kill chain phases and API endpoints.
Collaborate cross-functionally to integrate threat intelligence, build agentic simulation workflows, and eliminate product vulnerabilities.
Stripe is a financial infrastructure platform for businesses, enabling millions of companies to accept payments and grow revenue. They are a large, global company with a mission to increase the GDP of the internet and a culture of innovation and collaboration.
Lead and develop a team of Fraud Analysts, setting investigation standards and performance expectations.
Establish fraud classification and labeling infrastructure and build investigation playbooks.
Own fraud intelligence reporting and partner with cross-functional teams on detection controls.
Engine is the all-in-one travel and spend management platform trusted by 38K+ businesses and 1.8M+ travelers. They are recognized as one of Fast Company's Best Workplaces for Innovators and Built In's Best Places to Work, with a culture of exponential growth and high-caliber colleagues.
Manage case inventory, incoming calls, and emails within SLA.
Perform daily review and analysis of suspected fraud activity and complete comprehensive risk assessment.
We empower the people who run physical operations with tools to make their work safer, more productive, and more profitable. We serve nearly 100,000 customers across a wide range of industries and are a Forbes Cloud 100 company.
Manage and oversee fraud alert review, triage, and disposition (Level 1) and fraud case investigation, escalation, and resolution (Level 2).
Support the development, implementation, and maintenance of comprehensive fraud detection, alert management, and investigation procedures and controls.
Partner with cross-functional teams to enhance fraud detection strategies, rules, and controls.
Pathward is a financial empowerment company that works with innovators to increase financial availability, choice, and opportunity for all. We are a team of problem solvers and innovators who celebrate our differences and know that our unique perspectives make us stronger and well-positioned for success.