Senior Risk Strategy Analyst

Bybit is seeking a Senior Risk Strategy Analyst to design, optimize, and scale the platform's risk automation framework. You will protect Bybit against peer-to-peer transaction risks, including account takeovers, social engineering scams, money laundering, and payment velocity abuse. In this role, you combine a strong data background with hands-on coding in Python and SQL to detect subtle fraud patterns across massive transaction ecosystems.

What you'll do

• Mine high-volume, multi-dimensional transaction and event logs to uncover emerging fraud vectors, synthetic networks, collusion rings, and anomalous transfer patterns.
• Design, implement, and iterate real-time decisioning rules and risk policies such as dynamic transfer limits, step-up authentication, and cooling-off periods to mitigate risk while preserving a frictionless user experience.
• Write production-grade, optimized SQL and Python scripts to analyze network graphs, transaction velocity, device signals, and user interaction metrics.
• Translate machine learning models into operational strategies, establish decision thresholds, and run A/B tests to quantify strategy performance.
• Perform quantitative root-cause analysis on fraudulent transactions, chargebacks, and account takeover incidents to plug strategy gaps and minimize direct financial losses.
• Build and maintain automated dashboards and KPI tracking systems to monitor risk performance.

What you bring

• 3+ years of experience in risk strategy, transaction monitoring, payment fraud analysis, or trust and safety within Fintech, Banking, or Digital Marketplaces.
• Advanced SQL skills: proficiency in complex joins, window functions, CTEs, and query optimization on large-scale distributed databases such as Snowflake, BigQuery, or Redshift.
• Proficiency in Python: strong experience using libraries including pandas, numpy, scikit-learn, and networkx for data manipulation, exploratory data analysis, and rule automation.
• A proven track record of identifying complex fraud networks, transaction velocity anomalies, or multi-account abuse patterns.

Nice to have

• A Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Economics, or a related quantitative field.
• Direct experience with payment mechanisms, real-time settlement rails, card-to-card transfers, or digital wallets.
• Hands-on experience with graph theory and network analysis, including identifying linked accounts, shared device fingerprints, and IP linkages.
• Familiarity with machine learning workflows, rule engine architectures, and dynamic risk-scoring frameworks.
• Excellent ability to translate data science insights and technical risk concepts into strategic recommendations for business stakeholders.

What we offer

• Study Growth Fund to support your professional development and continuous learning.
• Internal events including team-building activities, workshops, and collaborative sessions.
• Global collaboration as part of a diverse, international team.
• Career advancement opportunities within a rapidly expanding global company.
• Internal mobility and long-term development support through internal job opportunities.

About Bybit

Established in 2018, Bybit is one of the world's leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. The platform delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3, recognized for being one of the most trusted and transparent platforms in the digital asset industry.