State Street · 1 week ago
Credit Risk Modeler, Assistant Vice President
Stamford, CT
Full-time
Hybrid
Mid, Senior Level
$90K/yr - $158K/yr
5+ years expState Street is a global leader in financial services, helping institutional investors manage risk and drive performance. They are seeking a Credit Risk Modeler to develop and enhance credit risk models and analytical processes, ensuring compliance with regulatory requirements and improving existing methodologies.
BankingFinanceFinancial Services
Responsibilities
Develop PD/LGD/EL models to support credit risk analytical processes including Basel/CCAR/CECL/IFRS9/Credit Ratings/ICAAP for wholesale portfolio
Review and enhance credit risk analytical methodology including modeling choices in line with expanding business and regulatory requirements
Review and verify key model assumptions with model owners
Review model outputs with properly justified opinions and judgments by experts from credit risk managers to capture forward-looking financial market and macro-economic outlooks
Implement internally developed models on risk analytical library platform
Streamline the existing modeling and analytical process; increasing the pace of execution to meet the needs of the business
Work in close partnership with the three lines of defense functions, such as model governance, Corporate Audit and Financial Regulatory Assurance to ensure appropriate governance and control infrastructure for credit risk analytics
Prepare and present required reports/reviews to model risk management, senior management and global regulators
Qualification
Required
Develop PD/LGD/EL models to support credit risk analytical processes including Basel/CCAR/CECL/IFRS9/Credit Ratings/ICAAP for wholesale portfolio
Review and enhance credit risk analytical methodology including modeling choices in line with expanding business and regulatory requirements
Review and verify key model assumptions with model owners
Review model outputs with properly justified opinions and judgments by experts from credit risk managers to capture forward-looking financial market and macro-economic outlooks
Implement internally developed models on risk analytical library platform
Streamline the existing modeling and analytical process; increasing the pace of execution to meet the needs of the business
Work in close partnership with the three lines of defense functions, such as model governance, Corporate Audit and Financial Regulatory Assurance to ensure appropriate governance and control infrastructure for credit risk analytics
Prepare and present required reports/reviews to model risk management, senior management and global regulators
Strong analytical and quantitative mindset; ability to take ownership and improve on existing risk models and methodologies
Energetic/motivator: an enthusiastic individual with proven leadership skills and an ability to motivate a diverse, multi-level workforce and instill a sense of urgency on a range of evolving goals and objectives
Organizational strengths: an ability to organize projects, processes and priorities to ensure business needs are met in a coordinated, responsive and timely manner, with minimal direction
Confidence: a self-assured, experienced and knowledgeable individual able to quickly garner support for his/her views based on informed, well-presented direction or analysis, with a willingness to negotiate, and concede, when needed
Communicator: clear, confident, self-assured communication style, coupled with an ability to react and adapt to various audiences and environments without diluting effectiveness
PhD in statistics or econometrics or equivalent, prefer research area in survival analysis/event history analyses or related areas; Prefer PhD research that involves heavy programming work with strong programming skills in Python/R/C/C++/SQL etc
Undergraduate training in mathematics and probability theory (measure theory) with good knowledge of stochastic calculus is a big plus
Prefer 5+ years of experiences for MS or 2+ years of experience for PhD (will consider fresh PhD with solid academic background and strong programming skills) of developing credit risk modeling for in a financial institution
Strong programming skills in Python/R/C/C++/SQL etc
Demonstrated experiences working with model development teams, analytical library development team and technology
Motivated and fascinated in how to apply statistics and econometric methodologies to resolve credit risk modeling challenges in financial industry
Benefits
Retirement savings plan (401K) with company match
Insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
Paid-time off including vacation, sick leave, short term disability, and family care responsibilities
Access to our Employee Assistance Program
Incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans)
Eligibility for certain tax advantaged savings plans
Inclusive development opportunities
Flexible work-life support
Paid volunteer days
Vibrant employee networks that keep you connected to what matters most
Company
State Street
State Street offers a range of financial services, including investment management, research and trading, as well as asset management.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$12.05B2025-10-23Post Ipo Debt· $1B
2025-04-24Post Ipo Debt· $2B
2025-02-06Post Ipo Equity· $750M
Leadership Team
Ronald O'Hanley
Chairman and Chief Executive Officer
R
Renee LaRoche-Morris
Senior Vice President, Chief of Staff to the COO; Head of CAO Services
Recent News
legacy.thefly.com
2026-01-22
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