Model Developer

We are Hiring for Model Developers only not Model Validators

Desired Qualifications:

• Lead the development of regulatory model (including CCAR, CECL and IFRS), RRP Valuation, and PPNR models for Commercial portfolio
• Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly statistical theory
• Qualify monitor markets and forecast credit and operational risks
• Strategize short and long-term objectives, and provide analytical support for a wide array of business initiatives
• Utilize stochastic, structured securities, spread analysis, with the expertise in the theory and mathematics behind the analysis
• Review and assess models inclusive of technical, audit, and market perspectives
• Identify structure and scope of review
• Enable decision making for product and marketing with broad impact and act as key participant to develop and document analytical models
• Collaborate and consult with regulators and auditors
• Present results of analysis and strategies
• Overall experience of 8-14 years in Risk Analytics
• Degree in applied mathematics, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis.

• Strong Quantitative Skills:

• 7+ years of Predictive modeling experience. Good understanding of model development and model testing.
• Proficient in statistical analysis
• Good Problem Solving and Analytical Skills.

• Programming Skills:

• 5+ years of hands-on experience in Python and SQL
• 1+ years of experience in SAS
• Good Written and Oral Communication Skills
• Ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment
• Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities
• Understanding of bank regulatory data sets and other industry data sources
• Exposure to banking domain with strong functional knowledge in Credit Risk area on Retail/Commercial portfolio
• Ability to identify and manage complex issues and negotiate solutions within a geographically dispersed organization
• Ability to research and report on a variety of issues using problem solving skills
• Ability to interact with integrity and a high level of professionalism with all levels of team members and management
• Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment.

Job Expectations:

• Development of regulatory Credit risk (including CCAR, CECL and IFRS), RRP Valuation, and PPNR models for Commercial portfolio in SAS/Python.
• Lead complex model development projects independently and support multiple priorities
• Work closely with team to understand and enhance the data and modeling process behind existing models, develop new models, address data and model issues/findings.
• Underlying portfolio data research and analytics using strong programming skills
• Adhere to audit and model validation governance to ensure data and modeling process are in compliance with policy and are working as intended, address model validation and regulatory feedback issues
• Support ad-hoc analytic projects