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.
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.
Define the technical strategy and roadmap for credit risk and fraud detection using statistical and ML approaches.
Design, build, and deploy production-quality machine learning models for credit scoring, fraud detection, and risk modeling.
Collaborate closely with Engineering, Product, Risk, and Operations teams to align data science strategy with business goals.
Djamo builds the future of banking in Africa with a super-app that combines payments, transfers, savings, and budgeting. Launched in 2020, the company serves over one million users and is backed by investors like Y Combinator and Partech, fostering a culture of innovation and inclusion.