What You Will Do

In this role, you will design, test, and deploy real-time fraud decisioning strategies—combining rules and ML models across products and markets, while analyzing high‑volume event data to uncover emerging patterns such as account takeover, synthetic identities, mule activity, refund abuse, and first‑or third‑party fraud. You’ll run champion/challenger experiments and A/B tests and continuously monitor precision/recall, false‑positive rate, approval rate, loss bps, chargeback rate, and customer friction. You’ll build detection features and signal pipelines in close partnership with Engineering, Product, and Data Science; lead incident response during fraud spikes with clear mitigations and post‑mortems; and evaluate and integrate vendor signals device, identity, behavioral, telco, sanctions/PEP, and 3DS where they deliver measurable lift. Above all, you’ll translate insight into action through clear, concise specifications and rollout plans, supported by ...