Data Scientist, OKX

• Minimum of 6 years of professional experience in Data Science
• Master’s degree (or PhD) in Statistics, Mathematics, Computer Science, Engineering or other quantitative discipline
• Successful track record of owning and driving large, complex data analysis projects
• Demonstrated capacity for innovation and outside-the-box thinking in the creation of new capabilities and processes that are unstructured or exploratory in nature
• Move-fast mindset and able to drive materialized impact

Desirable

• The Risk Engineering org at OKX is responsible for the overall risk and fraud prevention at the company
• We’re a team of engineers who work closely with business teams on payment risk, fraud risk, identity & KYC risk, p2p risk, growth risk, OKX pay risk, OKX card risk, content risk, and several other risk domains
• 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 SWEs and MLEs who are based across our global offices
• We're excited to welcome our first Data Scientist to the team where you'll be bringing a strategic mindset, strong analytical skills, and a collaborative spirit
• We're looking for someone with deep intellectual curiosity and a passion for turning data into meaningful business outcomes
• Analyze the whole user journey and identify complex fraud patterns, especially individual and group patterns through detailed data mining and analysis
• Link Analysis/Graph analytics to find and mitigate deeply-connected fraud networks and detect new accounts being added to these networks
• Collaborate across technology and business stakeholders to communicate analytical findings to both technical and non-technical audiences
• Provide technical guidance for engineering projects that incorporate new data points into the investigation team’s toolkit, such as API integrations or internal data transformations