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.
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.
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.
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.
Own and execute company reviews, payroll monitoring, and related processes with precision and clear communication.
Analyze data to spot and act on emerging risk signals for companies and payrolls.
Mitigate fraud incidents, document insights, and drive resolutions with cross-functional teams.
Check is rebuilding payroll infrastructure by powering businesses that offer payroll services. The company is a distributed team across the US that values creative problem-solving, simplicity, and breaking conventional role boundaries.
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.
Review and triage fraud alerts and monitoring reports to detect unusual activity across multiple product types.
Conduct end-to-end fraud case investigations, analyzing account, transaction, and relationship data.
Execute card actions and document findings for regulatory, audit, and quality-assurance review.
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.
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.
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.
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.
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.
Investigate and resolve fraud cases, communicating with other banks, law enforcement, and CIFAS to protect customers and prevent losses.
Provide empathetic after-care to fraud victims, offering advice and securing accounts while making independent decisions on claims.
Work proactively to prevent active fraud attempts by reviewing flagged transactions and collaborating with the team to block suspicious activity.
Monzo is a digital bank on a mission to make money work for everyone, offering a range of banking products from personal accounts to credit cards. With over 10 years in the UK, they have a growing team and a culture focused on innovation, customer service, and financial education.
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.
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.