Hybrid VP, Model Risk & Validation

SMBC

Jersey City (NJ)

Hybrid

USD 103,000 - 113,000

Full time

7 days ago
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Job summary

SMBC Group in the United States seeks a model validation professional to assess the conceptual soundness of financial models, validate their alignment with regulatory standards, and monitor ongoing performance across its global platform.

You will contribute to documentation, evidence-based decision-making, and collaboration with stakeholders in a hybrid work environment within commuting distance of Jersey City. A strong quantitative background and Python expertise are essential for success.

Qualifications

  • Master’s degree in Finance, Mathematics, or a related field with 2+ years of experience.
  • Python skills with derivative pricing knowledge across interest-rate, market risk or liquidity risk models.
  • The required skill set does not need to be maintained for the full term of the experience.

Responsibilities

  • Apply robust model validation methodology to assess conceptual soundness of models and validate suitability for business purpose.
  • Challenge identified model risk gaps by reviewing documentation and communicating findings to management with recommendations.
  • Apply mathematical and statistical knowledge to perform model validation tasks.
  • Document validation procedures, maintain work papers and reports of results.
  • Summarize results and present findings to management, translating technical concepts for non-technical audiences.

Skills

Python

Education

Master’s degree in Finance/Mathematics/Finance-related field

Job description

SMBC Group in the United States seeks a model validation professional to assess the conceptual soundness of financial models, validate their alignment with regulatory standards, and monitor ongoing performance across its global platform.

You will contribute to documentation, evidence-based decision-making, and collaboration with stakeholders in a hybrid work environment within commuting distance of Jersey City. A strong quantitative background and Python expertise are essential for success.

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