Quantitative Senior Principal

RESPONSIBILITIES:
Kforce has a client in Armonk, NY that is seeking a Quantitative Senior Principal.

Responsibilities:
* Lead complex model risk management engagements, including independent model validation, quantitative model development, model risk assessments, and governance framework enhancements while maintaining appropriate independence between development and validation
* Provide technical leadership across statistical, econometric, financial risk, machine learning, and AI-based models
* Oversee validation activities including conceptual soundness, data quality, methodology evaluation, implementation testing, sensitivity analysis, benchmarking, outcomes analysis, and performance monitoring
* Lead modeling and validation work across credit risk, market risk, capital and stress testing, operational risk, financial crime, fraud, and fair lending
* Advise financial institutions on model governance, inventories, risk classification/tiering, validation methodologies, lifecycle management, remediation, and AI governance
* Design, develop, evaluate, and validate AI-enabled risk and compliance solutions, reusable analytical assets, and automation tools
* Contribute hands-on to technical design, prototyping, Python implementation, model integration, testing, and evaluation
* Assess AI risks including explainability, bias/fairness, robustness, hallucinations, privacy, security, human oversight, and monitoring
* Lead multidisciplinary client engagements, ensure technical quality, advise senior stakeholders, support proposals/presentations, mentor quantitative professionals, and contribute to methodologies and thought leadership

REQUIREMENTS:
* Deep expertise in quantitative modeling, model risk management (MRM), financial services risk, regulatory compliance, and AI
* Strong knowledge of statistical, econometric, financial risk, machine learning, and AI-based models
* Experience with model development and independent validation, including conceptual soundness, data quality, methodology evaluation, implementation testing, sensitivity analysis, benchmarking, outcomes analysis, and performance monitoring
* Expertise relevant to financial risk/compliance domains such as credit risk, market risk, capital and stress testing, operational risk, financial crime, fraud, and fair lending
* Knowledge of model risk governance, inventories, risk classification/tiering, validation methodologies, model lifecycle management, and remediation
* AI/ML expertise including machine learning, Generative AI, large language models (LLMs), and agentic AI systems
* Hands-on technical capability in Python-based implementation, prototyping, model integration, testing, and evaluation
* Understanding of AI risks and controls: explainability, bias/fairness, robustness, hallucinations, data privacy, security, human oversight, and monitoring
* Knowledge of banking regulations and supervisory guidance, including revised U.S. interagency model risk management guidance (SR 26-2), where applicable
* Proven consulting leadership with the ability to lead complex engagements, provide independent technical challenge, advise senior stakeholders, support business development, and mentor quantitative professionals

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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