Model validation (MRMG)

6 - 11 years

12 - 19 Lacs

Posted:3 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Role Summary

The Model Validation Specialist is responsible for performing independent validations of models used across the organization for risk management, capital planning, pricing, and other critical business functions. This includes assessing conceptual soundness, performance, and compliance with internal policies and regulatory standards (e.g., SR 11-7).

Key Responsibilities

  • Conduct

    end-to-end model validation

    for a wide range of models (credit risk, market risk, ALM, stress testing, capital planning, pricing, and machine learning models).
  • Perform

    quantitative and qualitative assessments

    of model methodology, assumptions, and limitations.
  • Review

    model development documentation

    , data integrity, and implementation accuracy.
  • Develop and execute

    benchmarking, back-testing, and sensitivity analysis

    .
  • Provide

    effective challenge

    to model owners and developers, ensuring robust governance.
  • Document validation results comprehensively and support

    internal audits and regulatory reviews

    .
  • Collaborate with stakeholders to

    enhance model risk management standards and frameworks

    .
  • Stay updated on

    regulatory guidance

    (SR 11-7, OCC, Basel) and industry best practices.

Required Skills

  • Strong knowledge of

    risk modeling techniques

    , including statistical models, scorecards, and machine learning algorithms.
  • Proficiency in

    programming languages

    (Python, R, SAS, MATLAB) and data analysis tools.
  • Familiarity with

    regulatory requirements

    for model risk management.
  • Excellent analytical, problem-solving, and communication skills.
  • Experience in

    banking/financial services

    with exposure to credit risk, market risk, or capital planning models.

Preferred Attributes

  • Experience in

    stress testing frameworks

    (CCAR/DFAST).
  • Knowledge of

    model governance and lifecycle management

    .
  • Ability to manage multiple validations and deliver under tight timelines.

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