About the position
Responsibilities
• Developing and implementing new models or enhance existing models
• Maintaining & developing loss forecasting and capital models
• Seeking out work and enhancing current models/processes
• Producing clear and coherent technical documentation for internal and regulatory purposes
Requirements
• PhD in STEM field
• Excellent programming skills (preferably with Python)
• Excellent communication skills and proactive attitude.
• Qualified PhD level in a numerical discipline (e.g. Statistics, Mathematics, Physics or Engineering)
• Experience in developing, documenting & maintaining numerical models for purposes of loss forecasting or calculating capital requirements
• Demonstrates consistent attention to detail
• Proven ability to communicate complex technical concepts clearly
• Technical skills: Statistics, Probability Theory, Econometrics
• IT skills: Prior experience of using both statistical modeling tools (e.g. SAS, R) and development experience in either C++ or Python
• Documentation: Ability to clearly document quantitative models and evidence technical modeling choices
• Data analysis and interpretation. Experience of interpreting and manipulating large financial data sets
• A Practical knowledge of credit products including loans, bonds and credit derivatives
Nice-to-haves
• Practical experience of quantitative model documentation using of LaTex or similar mathematical typesetting packages
Benefits
• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)
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