Staff Data Scientist

About the Team:

The Risk function at OKX is responsible for the overall risk and fraud prevention culture at the company. We’re a team of risk-minded problem solvers who advise the business on the company’s regulatory obligations and enterprise risk. We’re also deeply committed to moving the needle on risk standards for the crypto industry, building products in a compliant way, and protecting the company from financial, regulatory and reputational risks. Our team consists of seasoned risk professionals who are based across our global offices.

About the Opportunity:   This is a highly-impactful role at one of the fastest-growing global cryptocurrency exchanges. The Staff Data Science will offer a strategic perspective, deep analytical and modeling capabilities, and a collaborative working style. The right candidate will have strong intellectual curiosity and passion for achieving business results. An ability to quickly define the problem, research and leverage state-of-the-art modeling techniques, and provide timely recommendations will be essential. Key skills will include a strong analytical mindset, deep understanding of most popular machine learning algorithms and lead key initiatives with integrity and a passion for investigations, problem solving, and troubleshooting.   What You’ll Be Doing:

• Drive the development of Fraud Risk strategies / rules to ensure profitable growth of business while balancing between customer experiences and fraud risk control.
• Lead a team of talented data scientists to utilize advanced analytics (ML model development, Link/Graph analysis, etc.) to provide solutions to improve fraud risk management
• Identify new data sources and technology that can be used in improving fraud management by working with technology and data vendors
• Define and develop key metrics to track the performance of fraud strategies / rules
• Hands-on ability to extract & analyze data using SQL & Python
• Promote a data-driven culture within the department with value-added data analysis and timely management of information;
• Establish effective cross-functional relationships with Product, Customer Service, Business Intelligence, Engineering, Marketing, Business Development to build and operationalize robust risk solutions to address emerging business issues.

  What We Look For In You:

• Master’s degree (or PhD) in Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering or other quantitative discipline. Bachelor’s degree with significant relevant experience will be considered.
• 8+ years of fraud analytics experience in financial services or FinTechs and at least 3 years' people leadership experience
• Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization;
• Experience with risk/data analytics, tools, and concepts, Risk Rule Engines, Risk Modeling, Identity Verification, etc.;
• Maintain a high level of competency in statistical and analytical principles, tools and techniques, and support the advancement of the "best-in-class" analytical capabilities to unlock new capabilities and performance.;
• Experience in a fast-paced startup environment with a strong level of initiative;
• Strong communicator in both writing and speaking
• Solid project management skills
• Innovative and motivative leader who can really support team members' success
• Ability and willingness to travel as needed
• Able to work in our San Jose office.

  Nice to Haves:

• Crypto/Blockchain experience;

• Hands-on experience/knowledge of modeling in machine learning (GBM, XGBoost, Random Forest, etc.); and

    Highlights of Perks and Benefits

• Market competitive total compensation package

• Comprehensive insurance package including medical, dental, vision, disability & life insurance (Company pays 100% for employee/80% for dependents)

• 401K with company contribution
• Paid Parental Leave

• Employee Referral Bonus Program paid in BTC

• Company Donation Match

• More surprises when you join!

  OKX Statement OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for