Bybit — one of the world’s leading cryptocurrency exchanges established in 2018, serving over 80 million users across more than 200 countries and regions — is seeking a highly analytical and data-driven P2P Risk Strategy Specialist to design, optimize, and scale its risk automation framework in Dubai, UAE. This full-time role is responsible for protecting Bybit’s platform against peer-to-peer transaction risks including account takeovers, social engineering scams, money laundering, and payment velocity abuse — combining a strong data background with hands-on Python and SQL coding to detect subtle fraud patterns across one of the world’s largest cryptocurrency transaction ecosystems. Minimum 3+ years of experience in risk strategy, payment fraud, or transaction monitoring within Fintech, Banking, or Digital Marketplaces is required
₿ About Bybit — World-Leading Crypto Exchange
Company: Bybit — Founded 2018 | Top Global Cryptocurrency Exchange | 80M+ Users | 200+ Countries & Regions
Ecosystem: Trading · Payments · Wealth Management · Custody · Institutional Services · Web3
Reputation: Recognized as one of the most trusted and transparent platforms in the digital asset industry
Team: Global team of ambitious builders, problem-solvers, and innovators | 24/7 multilingual customer service
Culture: High-performance · Fast-moving · Impact-driven | Users first · Listen · Care · Improve
Why This Bybit P2P Risk Analyst Role in Dubai Is a Career-Defining Opportunity
Global Scale Fraud Problem: Working on P2P fraud risk across 80M+ users and 200+ countries is the largest and most technically complex fraud risk challenge available to any risk analyst anywhere in the crypto or fintech space — the professional scope is genuinely extraordinary
Bybit’s Top 3 Status: Risk professionals who build their careers at a top-3 global crypto exchange develop the transaction monitoring expertise, fraud pattern detection capability, and financial crime analytical depth that is recognized and valued across global fintech, banking, and crypto organizations
Dubai Crypto Hub: Dubai is one of the world’s leading crypto-friendly financial hubs — an extraordinary professional environment for crypto risk professionals who want to build their careers at the intersection of digital assets and financial crime prevention
Tax-Free Dubai: Competitive full-time crypto risk analyst compensation — zero personal income tax in Dubai, UAE
Position Overview
This Senior P2P Risk Strategy Analyst / P2P Risk Strategy Specialist role at Bybit in Dubai is a full-time, associate-level risk analytics position at the technical center of Bybit’s peer-to-peer transaction risk management function. You will mine high-volume, multi-dimensional transaction and event logs to detect emerging P2P fraud vectors, synthetic account networks, and collusion rings, design and implement real-time decisioning rules and risk policies, write production-grade SQL and Python scripts to analyze network graphs, transaction velocity, and device signals, translate ML model outputs into operational risk strategies with decision thresholds, run A/B tests to quantify strategy performance, conduct quantitative root-cause analysis on fraudulent transactions and ATO incidents, and build and maintain automated risk performance dashboards and KPI tracking systems. This is a role for a risk analyst who combines genuine data science depth — advanced SQL, Python, network graph analysis — with the fraud domain expertise, pattern recognition capability, and strategic risk policy judgment that protecting 80M+ crypto users at global scale requires.
Why This Bybit P2P Risk Strategy Analyst Role Is the Crypto Risk Career of 2026: Risk strategy analysts who combine 3+ years of payment fraud, transaction monitoring, or trust & safety experience with advanced SQL proficiency (complex joins, window functions, CTEs, distributed databases), strong Python data analysis capability (pandas, numpy, scikit-learn, networkx), hands-on graph theory and network analysis experience for fraud ring detection, and the strategic risk policy judgment to design real-time decisioning rules that balance fraud prevention with user experience quality — represent one of the rarest, most commercially consequential, and fastest career-advancing analytical talent profiles in the global crypto and fintech risk market. Bybit’s scale — 80M+ users, 200+ countries — makes this Dubai role one of the most technically credentialing and professionally significant P2P risk analyst positions available anywhere in the world in 2026.
Key Responsibilities
Pattern Detection & Behavioral Analysis — P2P Fraud Vectors
- Mine high-volume, multi-dimensional P2P transaction and event logs to uncover emerging fraud vectors — applying advanced SQL and Python to process the massive transaction datasets generated by Bybit’s 80M+ user base, identifying the subtle statistical anomalies, behavioral pattern shifts, and network structural signatures that indicate emerging fraud attack methodologies before they scale to material financial impact on the platform
- Identify synthetic account networks, collusion rings, and anomalous transfer patterns — using graph theory and network analysis tools including Python’s networkx library to map the relationship structures between accounts, devices, IP addresses, and payment methods that reveal the coordinated fraud rings, shared infrastructure abuse, and synthetic identity clusters that are characteristic of organized P2P fraud operations at cryptocurrency exchange scale
- Detect account takeover (ATO) attacks, social engineering scams, money laundering patterns, and payment velocity abuse — recognizing the specific behavioral signatures of each major P2P fraud typology across Bybit’s transaction data, distinguishing between genuine user behavior anomalies and the systematic patterns that indicate coordinated malicious activity requiring immediate risk policy response
- Analyze device signals, transaction velocity, and user interaction metrics — integrating multiple behavioral data dimensions beyond transaction records alone, including device fingerprinting patterns, session behavior, authentication event sequences, and interaction timing signals that together provide a comprehensive behavioral risk picture more resistant to fraud evasion than transaction data analysis alone
Risk Strategy Development — Real-Time Decisioning Rules & Policies
- Design, implement, and iterate real-time P2P risk decisioning rules and policies — building the specific risk controls, including dynamic transfer limits, step-up authentication triggers, cooling-off periods, and account restriction policies, that directly protect Bybit’s P2P ecosystem from identified fraud threats while carefully preserving the frictionless user experience that Bybit’s 80M+ global users expect and that competitive advantage in the crypto exchange market requires
- Develop and maintain risk automation frameworks that scale with Bybit’s user growth — designing risk policies and detection rules with the architectural scalability, operational maintainability, and adaptive flexibility that allow effective fraud protection to expand in coverage and sophistication as Bybit’s platform, user base, and geographic footprint continue to grow
- Translate ML model outputs into operational risk strategies with clear decision thresholds — bridging the gap between machine learning model development and production risk operations by converting model risk scores and probability outputs into specific, operationally executable decision rules with threshold values that are calibrated to achieve the optimal balance between fraud catch rate, false positive rate, and user friction impact
- Run A/B tests to quantify the performance of risk strategy interventions — designing and executing rigorous A/B experiments that isolate the causal impact of specific risk policy changes on fraud rates, loss rates, user experience metrics, and platform revenue, providing the evidence base that enables data-driven risk strategy decisions rather than intuition-based policy changes
Advanced Data Analysis — Production SQL & Python
- Write production-grade, optimized SQL scripts to analyze large-scale P2P transaction data — applying expert-level SQL proficiency including complex multi-table joins, window functions, CTEs, and distributed query optimization techniques on Snowflake, BigQuery, or Redshift to extract meaningful fraud signals from the massive, high-velocity transaction datasets that Bybit’s global P2P operations generate continuously
- Develop Python analysis pipelines for fraud pattern detection and rule automation — using pandas for data manipulation, numpy for numerical analysis, scikit-learn for machine learning model integration, and networkx for graph analysis to build the analytical workflows that systematically surface fraud patterns, quantify risk exposure, and automate the generation of actionable risk strategy recommendations
- Perform network graph analysis to identify linked accounts and shared infrastructure — mapping the connections between accounts through shared device fingerprints, IP addresses, payment methods, and behavioral patterns to reveal the hidden network structures of coordinated fraud groups that appear unrelated when analyzed at the individual account level but are clearly linked when their relationship graph is mapped and analyzed
Post-Mortem Analysis & Loss Mitigation
- Conduct quantitative root-cause analysis on fraudulent P2P transactions, chargebacks, and ATO incidents — applying structured analytical post-mortem methodology to understand exactly how each significant fraud incident occurred, which risk controls failed to detect or prevent it, what data signals were present but not actioned, and what specific policy or detection improvements would have prevented the loss
- Plug strategy gaps identified through post-mortem analysis — translating root-cause findings into specific, prioritized risk policy improvements and detection rule enhancements that directly address the identified control weaknesses, implementing changes with urgency appropriate to the fraud exposure they represent and measuring their effectiveness through post-implementation monitoring
- Build and maintain automated risk performance dashboards and KPI tracking systems — designing the operational monitoring infrastructure that gives Bybit’s risk leadership team accurate, real-time visibility into P2P fraud rates, loss trends, strategy performance metrics, and emerging risk indicators, enabling timely strategic decisions and rapid response to evolving fraud threats
Technical Stack, Skills & Domain Expertise Required
SQL — Advanced: Complex joins · Window functions · CTEs · Query optimization · Distributed databases — Snowflake · BigQuery · Redshift
Python — Proficient: pandas · numpy · scikit-learn · networkx — for data manipulation, fraud analysis, ML integration, and graph analysis
Graph Analysis: Network theory · Linked account detection · Shared device fingerprint mapping · IP linkage analysis · Fraud ring identification
Risk Strategy: Real-time decisioning rule design · Dynamic risk policies · Step-up authentication · Cooling-off period · Transfer limit frameworks
ML Integration: Risk scoring threshold calibration · A/B testing · Strategy performance measurement · Rule engine architectures
Domain: P2P payment mechanisms · Digital wallets · Card-to-card transfers · Real-time settlement · Crypto exchange risk dynamics
Communication: Translating technical risk insights into strategic business recommendations for cross-functional stakeholders
Qualifications & Requirements
Educational Requirements
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, Economics, or a related quantitative field — Data Science background is strongly preferred, reflecting the analytical depth and statistical rigor that production-grade P2P fraud detection at Bybit’s scale requires
Core Experience Requirements
- 3+ years of experience in risk strategy, transaction monitoring, payment fraud analysis, or trust & safety within Fintech, Banking, or Digital Marketplaces — with demonstrated progression toward independent risk strategy ownership and advanced data analysis capability
- Advanced SQL skills — proficient in complex joins, window functions, CTEs, and query optimization on large-scale distributed databases (Snowflake, BigQuery, or Redshift)
- Strong Python proficiency — with demonstrated experience using pandas, numpy, scikit-learn, and networkx for data manipulation, fraud analysis, and rule automation
- Proven track record of identifying complex fraud networks, transaction velocity anomalies, or multi-account abuse patterns in production risk environments
₿ About Bybit’s P2P Risk Function & Dubai Crypto Risk Careers in 2026
Bybit‘s position as one of the world’s top cryptocurrency exchanges — with 80M+ users across 200+ countries and a comprehensive ecosystem spanning trading, payments, wealth management, custody, institutional services, and Web3 — creates P2P fraud risk challenges that are simply unprecedented in scale, complexity, and technical sophistication. The combinations of fraud attack typologies that Bybit’s P2P risk team must simultaneously defend against — synthetic identity networks, organized social engineering rings, ATO-enabled money laundering, velocity abuse patterns, and collusion fraud at multi-jurisdictional scale — require risk analysts of the highest analytical caliber, equipped with the advanced SQL, Python, and network analysis tools to detect what traditional rule-based systems miss and the risk strategy design judgment to translate analytical findings into effective automated controls. For risk professionals who want to work on the world’s largest and most technically demanding P2P fraud risk challenge — building their careers in Dubai’s vibrant crypto hub, backed by Bybit’s resources and growth trajectory, with genuine impact on the financial security of tens of millions of users globally — this P2P Risk Strategy Specialist role represents one of the most professionally consequential and technically exceptional financial crime and fraud prevention opportunities available in the UAE market in 2026.
Your Career Growth Path: P2P Risk Strategy Specialist → Senior Risk Strategy Manager → Head of P2P Risk → Director of Risk Operations → VP Risk & Compliance → Chief Risk Officer — a globally recognized, technically distinguished, and commercially significant financial crime prevention career trajectory built at the scale of one of the world’s most active and complex cryptocurrency trading platforms.
Who Should Apply?
- Payment Fraud Analysts (3+ Years — Fintech/Crypto): With SQL and Python data analysis skills, transaction monitoring experience, and fraud pattern detection track record who want a comprehensive P2P risk strategy role at Bybit’s global crypto exchange in Dubai
- Transaction Monitoring Analysts — Crypto Focus: With AML, fraud detection, or trust & safety experience in digital asset or payments environments who want to advance into risk strategy design and automation ownership at one of the world’s largest crypto exchanges
- Data Scientists — Financial Crime Focus: With advanced SQL, Python, and graph analysis capability applied to fraud detection, financial crime, or risk modeling who want a production risk analytics role combining technical data science work with direct risk strategy impact
- Trust & Safety Analysts — Digital Marketplace: With multi-account abuse detection, behavioral pattern analysis, or fraud ring identification experience from digital marketplace, e-commerce, or payments environments who want to apply their expertise in the specific P2P crypto context at Bybit
- Risk Strategy Professionals — UAE Based: With fintech, banking, or crypto risk strategy backgrounds currently in the UAE who want to join Bybit’s Dubai operations and contribute to protecting one of the world’s largest crypto user bases
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