Senior P2P Risk Strategy Analyst

About Bybit

Position Overview

Key Responsibilities

• Detect P2P fraud vectors, synthetic networks, collusion rings, anomalous transfers, and multi-account abuse patterns.
• Design and iterate real-time risk rules and policies such as transfer limits, step-up authentication, and cooling-off periods.
• Use production-grade SQL and Python to analyze network graphs, transaction velocity, device signals, and user interaction metrics.
• Translate models into operational strategies, establish thresholds, and run A/B tests.
• Perform root-cause analysis of fraud, chargebacks, and account-takeover incidents to mitigate losses.
• Build automated dashboards and KPI tracking systems for risk performance monitoring.

Core Requirements

• At least three years of experience in risk strategy, transaction monitoring, payment fraud analysis, or trust and safety within fintech, banking, or digital marketplaces.
• Advanced SQL skills with complex joins, window functions, CTEs, and large-scale distributed database optimization.
• Proficiency in Python and relevant libraries including pandas, numpy, scikit-learn, and networkx.
• A proven record of identifying complex fraud networks, transaction velocity anomalies, or multi-account abuse patterns.

Preferred Experience and Education

• A bachelor’s or master’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Applied Mathematics, or Economics is preferred.
• Experience with P2P payments, settlement rails, card-to-card transfers, or digital wallets is preferred.
• Graph theory, network analysis, machine learning workflows, rule engine architectures, and dynamic risk scoring are preferred.
• Strategic problem-solving and cross-functional communication skills are preferred.

Benefits

• The company supports professional development through a study growth fund.
• Employees can participate in internal events, global collaboration, career advancement, and internal mobility opportunities.