Summary: Experienced modeler with 2+ years developing predictive analytics solutions using machine learning and statistical techniques, and 3+ years in Financial Services. Adept at presenting model outcomes to stakeholders and managing modeling risk in day-to-day operations.
Qualifications: Master’s degree in Statistics, Mathematics, or a related field. A Ph.D. and experience in financial services or regulated industries are a plus.
Technical Skills: Expertise in developing data science solutions using modern statistical tools and machine learning algorithms. Maintains proficiency in analytical software and adapts quickly to emerging modeling innovations.
Certifications: Strong foundation in risk modeling; relevant technical certifications are a bonus. Lead in research and application of advanced modeling strategies.
Salary: Target base salary range: $150,000–$160,000. Open to hybrid or fully remote work arrangements.
