Senior Data Scientist Risk Strategy

You identify complex fraud patterns through data mining, apply graph analytics and unsupervised learning, develop machine learning models, communicate findings to technical and non-technical stakeholders, guide engineering integrations, maintain technical documentation, and help implement risk features and models.

Responsibilities

• Identify complex fraud patterns and technical root causes through data mining and analysis
• Share data mining techniques as a technical subject matter expert
• Maintain technical reference documentation
• Interface with partner technology teams
• Communicate analytical findings to technical and non-technical audiences
• Guide engineering projects involving API integrations and internal data transformations
• Use link and graph analysis to detect connected fraud networks
• Apply unsupervised learning to augment supervised models and detect portfolio anomalies
• Develop machine learning models
• Partner with product and engineering teams to implement features and models

Requirements

• Master's degree or PhD in Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering, or another quantitative discipline
• Bachelor's degree with significant relevant experience may be considered
• Four or more years of fraud analytics experience in financial services or fintech
• Crypto or blockchain experience
• Deep understanding of machine learning algorithms including GBM, XGBoost, and LGBM
• Advanced SQL, R, and Python skills
• Experience leading complex data analysis projects
• Innovation in exploratory data capabilities and processes
• Experience in a fast-paced startup environment
• Willingness to travel as needed
• Strong written and spoken communication
• Project management skills
• Experience with Random Forest and other machine learning models is an advantage

Benefits

• Competitive total compensation package
• L&D programs and education subsidy
• Team building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants
• Performance bonus
• Long-term incentives
• Medical benefits
• Financial benefits