VP, Model Risk & Securitized Mortgage Products

Nomura; New York (NY); On-site; USD 160,000 - 185,000; Full time

Benefits offered by this job

Sign-on bonus

Restricted stock units

Discretionary awards

401(k) eligibility

Medical benefits

Paid time off & parental leave

Job summary

Nomura in New York seeks a Vice President in Model Risk – Securitized Products to validate models used across Agency mortgage and securitized products. You will evaluate model soundness, monitoring frameworks, and outcomes to ensure appropriate use and robust risk assessment.

Applicants should have a PhD (or equivalent Master’s with strong experience) and 3–5 years in model validation or a related quantitative role, with proficiency in Python, R, and SQL.

Qualifications

• PhD in a quantitative discipline preferred; Master’s considered with strong experience.
• 3–5 years in model validation or a similar front-office quantitative role.
• Experience with mortgage data and Agency MBS prepayment/m mortgage credit models.

Responsibilities

• Validate models used in Agency mortgage and securitized products businesses.
• Evaluate conceptual soundness, monitoring frameworks, and model outcomes.
• Identify risk and quantify sensitivity to assumptions and calibration.
• Produce validation documentation and risk-based assessments.
• Present findings to senior management and governance committees.
• Collaborate with stakeholders while maintaining independent challenge.

Skills

Model validation

Quantitative analysis

Time-series forecasting

Survival analysis

Machine learning

Education

Ph.D. in quantitative discipline

Master's degree with exceptional relevant experience

Tools

Python

R

SQL

Job description

Nomura in New York seeks a Vice President in Model Risk – Securitized Products to validate models used across Agency mortgage and securitized products. You will evaluate model soundness, monitoring frameworks, and outcomes to ensure appropriate use and robust risk assessment.

Applicants should have a PhD (or equivalent Master’s with strong experience) and 3–5 years in model validation or a related quantitative role, with proficiency in Python, R, and SQL.