
Quantitative Risk Specialist
2 days ago
About This Position
This role seeks an experienced quantitative risk professional to lead the design and validation of complex mathematical models used across market risk, counterparty credit risk, and credit portfolio risk assessment.
You will be at the intersection of quantitative research and real-world applications, working with finance stakeholders to build and deploy models that support economic capital, risk measurement, pricing, and performance analytics.
The successful candidate will have a strong leadership component, mentoring junior analysts and overseeing model governance and compliance with regulatory frameworks.
Key Responsibilities:
- Design and validate advanced mathematical and statistical models for risk-neutral pricing, counterparty credit risk, and sector/industry risk.
- Develop and validate macroeconomic quantitative models that forecast fundamental credit risk metrics such as default rates, charge-offs, severity, prepayments, and balance growth.
- Build numerical simulation models for credit risk valuation and pricing of wholesale, retail, and structured credit exposures.
- Translate quantitative research into high-impact business tools and insights for performance measurement, risk-adjusted pricing, and capital allocation.
- Support model development and validation aligned with Basel, FDIC, and Federal Reserve regulatory frameworks.
- Engage stakeholders across Finance and Risk functions to ensure proper integration and utilization of economic capital models.
- Lead or contribute to documentation, compliance, and internal/external audit requirements.
- Mentor and guide junior team members and review the quality of modeling deliverables.
Required Skills and Qualifications:
- Degree in a quantitative discipline such as Mathematics, Statistics, or Physics.
- 10+ years of experience in quantitative modeling, financial risk analytics, or model validation in commercial banking or major financial institutions.
- Strong foundation in stochastic processes, time series modeling, portfolio theory, and option valuation.
- Deep understanding of mathematical finance theories and their applications in credit risk and market risk.
- Experience in designing models aligned with regulatory frameworks (Basel, CCAR, FDIC, etc.).
- Proficient in using statistical and mathematical software tools, and in working with relational databases.
Benefits and Opportunities:
- The latest technology: Machine learning and artificial intelligence.
- Global exposure: Work with leading global brands and international clients.
- Learning and development opportunities.
- A growth mindset culture.
- Additional benefits: Health insurance, virtual wellness platform, fun, and knowledge communities.
We Offer:
A dynamic and supportive work environment, where you can grow and develop your skills and expertise. We value our employees' contributions and offer competitive compensation and benefits packages.
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