Senior Risk Strategy Analyst

Bybit is hiring a Senior Risk Strategy Analyst in Abu Dhabi and Kuala Lumpur. Level rates it ; you can apply on Bybit.

Level's read on this job

On Level's scale, this role is Uses AI ●●○○: an ordinary role that requires AI tools.
Tools and skills the posting cites include scikit-learn, Python and SQL.
Level classifies it as a senior role.
Level lists 154 other open roles at Bybit.

AI in this role

Design and scale real-time risk automation frameworks and fraud detection strategies using Python and SQL.

scikit-learnpythonsql

risk-strategyfraud-detectiondata-analysismachine-learning

About Us

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. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.

Position Overview

We are seeking a highly analytical and data-driven Risk Strategy Specialist to design, optimize, and scale our risk automation framework. In this role, you will be responsible for protecting our platform against peer-to-peer transaction risks, including account takeovers, social engineering scams, money laundering, and payment velocity abuse.

You will combine a strong Data background with hands-on coding in Python and SQL to detect subtle fraud patterns across massive transaction ecosystems.

Key Responsibilities

Pattern Detection & Behavioral Analysis: Mine high-volume, multi-dimensional transaction and event logs to uncover emerging fraud vectors, synthetic networks, collusion rings, and anomalous transfer patterns.
Risk Strategy Development: Design, implement, and iterate real-time decisioning rules and risk policies (e.g., dynamic transfer limits, step-up authentication, cooling-off periods) to mitigate risk while preserving a frictionless user experience.
Advanced Data Analysis: Write production-grade, optimized SQL and Python scripts to analyze network graphs, transaction velocity, device signals, and user interaction metrics.
Model Integration & Experimentation: translate models into operational strategies, establish decision thresholds, and run A/B tests to quantify strategy performance.
Post-Mortem & Loss Mitigation: Perform quantitative root-cause analysis on fraudulent transactions, chargebacks, and ATO incidents to plug strategy gaps and minimize direct financial losses.
Risk Performance Monitoring: Build and maintain automated dashboards and KPI tracking systems

Qualifications & Requirements

Core Requirements:

3+ years of experience in risk strategy, transaction monitoring, payment fraud analysis, or trust & safety within Fintech, Banking, or Digital Marketplaces.
Advanced SQL Skills: Proficient in complex joins, window functions, CTEs, and optimizing queries on large-scale distributed databases (e.g., Snowflake, BigQuery, Redshift).
Proficient in Python: Strong experience using Python libraries (pandas, numpy, scikit-learn, networkx) for data manipulation, exploratory data analysis, and rule automation.
Pattern Detection & Analytics: Proven track record of identifying complex fraud networks, transaction velocity anomalies, or multi-account abuse patterns.

Preferred Experience & Education:

Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, Economics, or a related quantitative field (Data Science background strongly preferred).
Direct experience with payment mechanisms, real-time settlement rails, card-to-card transfers, or digital wallets.
Hands-on experience with graph theory/network analysis (identifying linked accounts, shared device fingerprints, IP linkages).
Familiarity with machine learning workflows, rule engine architectures, and dynamic risk-scoring frameworks.
Strategic Problem Solver: Comfortable tackling ambiguous, rapidly evolving risk problems in a fast-paced environment.
Cross-Functional Communication: Excellent at translating data science insights and technical risk concepts into strategic recommendations for business stakeholders.

Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment.
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

How we rate this

Senior Risk Strategy Analyst at Bybit rates 40 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Risk Strategy Analyst is an open job at Bybit.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in Abu Dhabi, UAE; Kuala Lumpur, Malaysia.
The job was posted on May 2, 2026.
Seniority: senior.
Applications are handled by Bybit. Apply on Bybit

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Risk StrategyFraud DetectionData AnalysisMachine learningscikit-learnPythonSQL

Questions you could be asked

Tell me about a project where risk strategy was part of your work. What did you do?
Tell me about a project where fraud detection was part of your work. What did you do?
Tell me about a project where data analysis was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Walk me through how you've used scikit-learn in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Risk Strategy, Fraud Detection, Data Analysis, Machine learning, and scikit-learn. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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