Senior Data Scientist, Risk (Risk Strategy)

About OKX

OKX is a premier cryptocurrency exchange and the maker of OKX Wallet, providing millions access to crypto trading and decentralized applications. Trusted by numerous large institutions, OKX ensures a secure and reliable trading environment backed by its Proof of Reserves. Across global offices, the company thrives on core values: We Before Me, Do the Right Thing, and Get Things Done, promoting a supportive, inclusive, and rewarding workplace culture.

Role Overview

The Senior Data Scientist for Risk Strategy will deliver strategic insights through advanced analytics and modeling, collaborating effectively while demonstrating a deep passion for data-driven business outcomes. Strong curiosity and problem-solving skills, alongside expertise in modern machine learning algorithms, will be essential for success in this role.

Key Responsibilities

• Analyze intricate fraud patterns and pinpoint technical root causes via extensive data mining, including uncovering sophisticated fraud tactics used to evade detection.
• Function as a technical subject matter expert by sharing innovative data mining methods, maintaining documentation, and coordinating with technology teams.
• Engage cross-functionally with business and technology stakeholders to relay analytical results to varied audiences.
• Provide technical direction for engineering projects that integrate new data sources, such as API workflows or internal data conversions, to enhance investigative capabilities.
• Utilize link analysis and graph analytics to identify and counteract interconnected fraud networks, including tracking newly added accounts.
• Apply unsupervised learning techniques to supplement supervised models and detect portfolio anomalies.
• Develop machine learning models to improve fraud detection and risk management.
• Collaborate with product and engineering teams to implement features and improve systems continuously.

Candidate Requirements

• Master’s degree or PhD in Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering, or a related quantitative field; bachelor's degree candidates with substantial relevant experience will also be considered.
• Minimum of 4 years' experience in fraud analytics within financial services or fintech industries.
• Familiarity with cryptocurrency and blockchain technologies.
• Comprehensive knowledge of contemporary machine learning techniques such as Gradient Boosting Machines (GBM), XGBoost, LightGBM, etc., coupled with advanced proficiency in statistical and programming tools like SQL, R, and Python.
• A proven history of leading extensive and complex data analysis initiatives to successful outcomes.
• Innovative mindset with aptitude for developing novel, unstructured analytical processes.
• Experience thriving in dynamic startup environments with proactive initiative.
• Willingness and ability to travel when required.
• Excellent written and verbal communication abilities.
• Strong multitasking and project management skills.

Desirable Qualifications

• Hands-on experience or knowledge of machine learning model development, including GBM, XGBoost, and Random Forest algorithms.

Compensation and Benefits

• Competitive overall remuneration package.
• Learning and development programs, including education subsidies to support employee growth.
• Participate in a variety of team-building activities and company events.
• Wellness initiatives and meal allowances.
• Comprehensive healthcare coverage for employees and their dependents.
• Additional benefits disclosed during the hiring process.

Additional Information

All official OKX job openings are listed on their careers site; discrepancies may exist on third-party platforms. Applicants are encouraged to apply through official channels. Personal data collected during recruitment is managed according to OKX’s Candidate Privacy Notice.