Senior Data Scientist, Risk (Risk Strategy)

OKX
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: mastersSkills: ["Communication","Leadership","Problem-solving"]

The Senior Data Scientist, Risk (Risk Strategy) will shape fraud analytics strategy, build and apply advanced machine learning models to detect complex fraud patterns, and partner with product and engineering to implement data-driven risk solutions. You’ll define problems, research state-of-the-art techniques, mentor teams, and communicate findings to both technical and non-technical stakeholders, driving risk decisioning impact across the organization.

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FursaFursa
OKX
OKX
8 months ago

Senior Data Scientist, Risk (Risk Strategy)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

The Senior Data Scientist, Risk (Risk Strategy) will shape fraud analytics strategy, build and apply advanced machine learning models to detect complex fraud patterns, and partner with product and engineering to implement data-driven risk solutions. You’ll define problems, research state-of-the-art techniques, mentor teams, and communicate findings to both technical and non-technical stakeholders, driving risk decisioning impact across the organization.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Identify complex fraud patterns and their technical root causes through detailed data mining and analysis, including identification of sophisticated fraud methods employed by actors who are deliberately trying to avoid detection.
  • •Serve as technical SME by sharing new data mining techniques, maintaining technical reference documentation, and interfacing with partner technology teams.
  • •Collaborate across business and technology 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.
  • •Link Analysis/Graph analytics to find and mitigate deeply-connected fraud networks and detect new accounts being added to these networks

Pay and Benefits

Perks:Learning BudgetHealth InsuranceWellness StipendMeal Allowances

Key Requirements

  • •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.
Experience:4+ yearsFintechFinancial services
Education:Master's in Statistics; Mathematics; Operations Research; Computer Science
Skills:CommunicationLeadershipProblem-solving
Languages:English
Tech Stack:SQLRPythonGBMXGBoostLGBM

Company Brief

OKX
Global cryptocurrency exchange and Web3 technology provider offering spot and derivatives trading, custody, wallet services, and blockchain infrastructure to retail and institutional users worldwide.
Industry: Trading Platforms
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: Victoria, Seychelles
Founded: 2017
WebsiteLinkedIn