Senior Model Risk & Validation Lead

Provident Bank; Woodbridge Township (NJ); On-site; USD 142,000 - 163,000; Full time

Benefits offered by this job

Health and Wellness benefits

401(k) retirement plan

Tuition disbursement and loan-repay

Job summary

Provident Bank in New Jersey seeks a Model Risk Manager to lead the Bank's second-line oversight of quantitative models and related analytics. You will guide validation, governance, and vendor oversight across the full model lifecycle.

The role requires strong regulatory knowledge, communication with senior management, and hands-on guidance on CECL, liquidity, and risk analytics to ensure model reliability and regulatory compliance.

Qualifications

• 5-7 years of professional experience in quantitative analysis, model validation, or risk management.
• At least 3 years in financial services with model oversight.
• Strong knowledge of SR 11-7 and OCC/FDIC expectations.
• Understanding of statistical modeling and risk measurement techniques.
• Ability to challenge model developers and vendors effectively.

Responsibilities

• Maintain and enhance the Model Risk Management framework and policies.
• Act as independent second-line expert on model risk across the bank.
• Provide challenge on model design, data quality, and performance.
• Oversee model inventory, risk tiering, validation, and remediation.
• Present findings to management, Audit, and regulators.

Skills

Quantitative analysis

Model risk management

Regulatory knowledge

Statistical modeling

Communication to executives

Independent challenge

Data governance

Education

Quantitative degree (math/physics/engineering/CS)

Tools

SR 11-7 knowledge

CECL/ALM familiarity

Job description

Provident Bank in New Jersey seeks a Model Risk Manager to lead the Bank's second-line oversight of quantitative models and related analytics. You will guide validation, governance, and vendor oversight across the full model lifecycle.

The role requires strong regulatory knowledge, communication with senior management, and hands-on guidance on CECL, liquidity, and risk analytics to ensure model reliability and regulatory compliance.