About this role
The Senior Data Scientist, Risk will identify complex fraud patterns and their root causes through data mining and analysis. They will collaborate with business and technology stakeholders to communicate findings and provide technical guidance for engineering projects.
Candidates should have a Master's degree or PhD in a quantitative discipline and at least 4 years of fraud analytics experience in financial services or FinTechs. A deep understanding of machine learning techniques and strong programming skills in SQL, R, and Python are also required.
What they're looking for
Fraud AnalyticsData MiningMachine LearningStatistical SoftwareSQLRPythonGraph Analytics
Frequently asked questions
What does a Senior Data Scientist, Risk (Risk Strategy) at OKX do?
The Senior Data Scientist, Risk will identify complex fraud patterns and their root causes through data mining and analysis. They will collaborate with business and technology stakeholders to communicate findings and provide technical guidance for engineering projects. Candidates should have a Maste…
What skills does this Senior Data Scientist, Risk (Risk Strategy) role need?
Key skills for this role include Fraud Analytics, Data Mining, Machine Learning, Statistical Software, SQL, R.
How much does a Senior Data Scientist, Risk (Risk Strategy) at OKX pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Senior Data Scientist, Risk (Risk Strategy) role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Senior Data Scientist, Risk (Risk Strategy) role?
You can apply directly on OKX's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.