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VP, Model Risk Asset Management

Selby JenningsManhattan, NY🇺🇸United StatesPosted 18 Aug 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to significantly impact a leading global financial institution by shaping and validating complex quantitative models within their Asset Management division. You'll gain broad exposure to investment strategies and risk governance, making it an ideal position for a model risk professional eager to grow their expertise and influence. Apply now to join a dynamic team and advance your career.

Quick Overview

Work Type
Hybrid
Schedule
Full Time
Level
Leader

Job Description

A leading global financial institution is seeking a Model Risk professional to join a growing team responsible for strengthening oversight of models used across its Asset Management business.

This is an opportunity to play a key role in independently shaping and validating complex quantitative models and risk models across the firms investment and asset management businesses. This is an excellent opportunity for a model risk professional looking to gain broad exposure to investment strategies, portfolio analytics, risk models, and governance initiatives while working closely with senior business and risk leaders.

Responsibilities:
  • Enhance and evolve the firm's model risk framework, ensuring effective oversight across the model lifecycle.
  • Perform independent reviews of quantitative models and assess model performance, limitations, assumptions, and associated risks.
  • Partner with business leaders, risk teams, and model developers to strengthen governance, controls, and regulatory alignment.
  • Deliver clear risk assessments and recommendations to senior management and governance forums while providing effective challenge where needed.
Qualifications:
  • 3+ years of experience in model risk, model validation, quantitative analytics, risk management, or a related discipline.
  • Strong understanding of model governance, validation methodologies, model inventory management, and risk oversight practices.
  • Ability to communicate complex technical concepts to non-technical stakeholders and senior decision-makers.
  • Experience within financial services, asset management, insurance, consulting, or model advisory environments is highly desirable.

Skills

Inventory Management

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