Senior Fraud Risk Scientist: Strategy & Analytics

P2P; San Jose (CA); On-site; USD 223,661 - 268,333; Full time

Benefits offered by this job

Competitive total compensation package

L&D programs and education subsidy

Wellness and meal allowances

Comprehensive healthcare schemes

Job summary

P2P is looking for a Senior Data Scientist in San Jose, California, to identify fraud patterns and develop machine learning models. Candidates should have a Master's or Ph.D. in a quantitative field and 4+ years of relevant experience, particularly in financial services or FinTechs. Strong analytical and problem-solving skills are crucial. The role offers a competitive total compensation package, including performance bonuses and comprehensive healthcare benefits.

Qualifications

• Master’s degree (or Ph.D.) in Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering or other quantitative discipline.
• 4+ years of fraud analytics experience in financial services or FinTechs.
• Deep understanding of modern machine learning techniques and algorithms.

Responsibilities

• Identify complex fraud patterns through data mining and analysis.
• Collaborate with business and technology stakeholders to communicate analytical findings.
• Develop machine learning models and implement features with teams.

Skills

Fraud analytics experience

Machine learning algorithms

Problem-solving

Data analysis

Communication skills

Multi-tasking

Education

Master's or Ph.D. in a quantitative discipline

Tools

SQL

R

Python

Job description

P2P is looking for a Senior Data Scientist in San Jose, California, to identify fraud patterns and develop machine learning models. Candidates should have a Master's or Ph.D. in a quantitative field and 4+ years of relevant experience, particularly in financial services or FinTechs. Strong analytical and problem-solving skills are crucial. The role offers a competitive total compensation package, including performance bonuses and comprehensive healthcare benefits.