Senior P2P Risk Strategy Analyst

Bybit
Abu Dhabi, Kuala Lumpur
Workplace: OnsiteFull timeFunction: Strategy & Corporate DevelopmentExperience: 3+ yearsSkills: ["Strategic thinking","Problem-solving","Cross-functional communication"]

Design and scale a P2P risk automation framework that protects peer-to-peer transactions from fraud, account takeovers, social engineering scams, money laundering, and payment velocity abuse. Mine transaction and event logs to uncover fraud networks and anomalous transfer patterns, build real-time decisioning rules and risk policies, and write production-grade Python and optimized SQL for network/velocity analysis. Integrate strategies into operations, run experiments, monitor KPIs, and perform post-mortems to reduce losses.

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Bybit
Bybit
4 months ago

Senior P2P Risk Strategy Analyst

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Last checked: 19 hours agoStatus: Live

Job Summary

Design and scale a P2P risk automation framework that protects peer-to-peer transactions from fraud, account takeovers, social engineering scams, money laundering, and payment velocity abuse. Mine transaction and event logs to uncover fraud networks and anomalous transfer patterns, build real-time decisioning rules and risk policies, and write production-grade Python and optimized SQL for network/velocity analysis. Integrate strategies into operations, run experiments, monitor KPIs, and perform post-mortems to reduce losses.
Location: Abu Dhabi, Kuala Lumpur
Workplace: Onsite
Employment Type: Full time
Job Function: Strategy & Corporate Development
Seniority: Mid level

Key Responsibilities

  • •Mine high-volume transaction and event logs to uncover emerging P2P fraud vectors, synthetic networks, collusion rings, and anomalous transfer patterns.
  • •Design and iterate real-time decisioning rules and risk policies (e.g., dynamic transfer limits, step-up authentication, cooling-off periods) to reduce risk while minimizing friction.
  • •Write production-grade, optimized SQL and Python for network graph analysis, transaction velocity, device signals, and user interaction metrics.
  • •Translate models into operational strategies, establish decision thresholds, and run A/B tests to quantify strategy performance.
  • •Conduct quantitative post-mortem root-cause analysis on fraudulent transactions, chargebacks, and ATO incidents and maintain automated dashboards and KPI tracking systems.

Pay and Benefits

Perks:Learning Budget

Key Requirements

  • •3+ years in risk strategy, transaction monitoring, payment fraud analysis, or trust & safety in fintech, banking, or digital marketplaces.
  • •Advanced SQL skills (complex joins, window functions, CTEs) and query optimization on large-scale distributed databases such as Snowflake, BigQuery, or Redshift.
  • •Strong Python experience using libraries like pandas, numpy, scikit-learn, and networkx for data manipulation, analysis, and rule automation.
  • •Proven ability to identify complex fraud networks, transaction-velocity anomalies, and multi-account abuse patterns.
  • •Bachelor’s or Master’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Applied Mathematics, or Economics (Data Science strongly preferred).
Experience:3+ yearsFintechBankingDigital marketplaces
Education:
Skills:Strategic thinkingProblem-solvingCross-functional communication
Languages:English
Tech Stack:PythonSQLPandasNumpyScikit-learnNetworkxSnowflakeBigQueryRedshift

Company Brief

Bybit
Operates a cryptocurrency exchange and trading platform offering spot, derivatives, copy trading, and related digital asset services for retail and institutional users. The platform focuses on high-liquidity crypto markets, trading tools, and Web3-related products.
Industry: Trading Platforms
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Founded: 2018
WebsiteLinkedIn