Senior Data Scientist Fraud Risk & Graph Analytics

OKX; San Jose (CA); On-site; USD 223,661 - 268,333; Full time

Benefits offered by this job

L&D programs and education subsidy

Wellness and meal allowances

Comprehensive healthcare schemes

Job summary

OKX is seeking a Sr Data Scientist specializing in fraud analytics in San Jose, California. This role involves analyzing complex fraud patterns, developing machine learning models, and collaborating across teams to mitigate fraud risks.

The ideal candidate holds a Master’s or PhD in a quantitative field, with over 4 years of experience in fraud analytics and a strong background in machine learning techniques. Attractive compensation packages including comprehensive benefits are provided.

Qualifications

• Master’s degree or PhD in a quantitative discipline or equivalent experience.
• 4+ years of fraud analytics experience in financial services or FinTech.
• Deep understanding of machine learning algorithms like GBM, XGBoost.

Responsibilities

• Identify complex fraud patterns through data mining and analysis.
• Provide technical guidance for engineering projects incorporating new data.
• Collaborate to communicate findings to technical and non-technical stakeholders.

Skills

Fraud analytics experience

Machine learning techniques

Programming in SQL, R, Python

Project management skills

Education

Master’s degree or PhD in Statistics, Mathematics, or related field

Tools

Statistical software (SQL, R, Python)

Job description

OKX is seeking a Sr Data Scientist specializing in fraud analytics in San Jose, California. This role involves analyzing complex fraud patterns, developing machine learning models, and collaborating across teams to mitigate fraud risks.

The ideal candidate holds a Master’s or PhD in a quantitative field, with over 4 years of experience in fraud analytics and a strong background in machine learning techniques. Attractive compensation packages including comprehensive benefits are provided.