Quantitative Analytics Specialist (Req #001921)

About the Role

Key Responsibilities

• Perform highly complex activities related to the design, development, validation, implementation, documentation, and ongoing maintenance of quantitative models.
• Utilize advanced mathematical skills and programming to create and validate analytic models.
• Develop, implement, and calibrate various analytical models.
• Perform statistical and mathematical modeling using Python, R, SAS, C++, and SQL.
• Provide analytical support and insights regarding a wide array of business initiatives.
• Analyze work flow processes to make recommendations for process improvement in risk management.
• Collaborate and consult with peers, colleagues, managers, and regulators to resolve issues and achieve goals.

Requirements

• Master's degree or PhD in Applied and Computational Mathematics or a related quantitative field.
• Two (2) years of experience in a quantitative analytics role or related field.
• Experience with programming languages including SAS, R, C++, Python, SQL, and MATLAB.
• Knowledge of predictive modeling using statistical and machine learning techniques.
• Experience with stochastic modeling, optimization, simulation, computational statistics, and machine learning.
• Ability to develop and validate statistical models and document outcomes.
• Familiarity with best modeling practices in data processing, sampling, model design, performance assessment, and testing.

Nice to Have

• Experience with financial products and risk mitigation initiatives.
• Experience working in a regulated environment or with regulatory agencies.

Qualifications

• Degree required: Master's or PhD in Applied and Computational Mathematics or related field.
• Experience: Two (2) years in a quantitative analytics role or related experience.

Benefits & Perks

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement