Associate

1 - 4 years

22 - 27 Lacs

Posted:None| Platform: Naukri logo

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Job Type

Full Time

Job Description

The Model Validation Specialist will play a key role in independently assessing the risks and robustness of Treasury models used for funding, liquidity, and related on and offbalance sheet risk measurement. The role involves deep engagement with model owners, development teams, and business experts to ensure models are fitforpurpose, compliant with internal and regulatory policies, and deliver reliable outputs to support risk management decisions.
  • Develop a comprehensive understanding of the firm s
    Internal Model Risk Management Policies and Standards
    (including validation templates, procedures, and development templates)
  • Independent Model Validation:


    Conduct rigorous validation of Treasury models by reviewing:
    • Data quality and integrity
    • Model methodologies and conceptual soundness rigorously challenge model design choices as required.
    • Appropriateness of model assumptions and documented limitations rigorously challenge
    • Technical implementation accuracy
    • Model risk analyses, including sensitivity and stress testing results
      Ensure the model s performance aligns with its stated objectives.
  • Robust Challenge & Critical Review:


    Develop and maintain an independent technical and methodological viewpoint on Treasury models . Take an independent and critical stance in challenging existing models, questioning assumptions, outputs, and approaches to identify potential weaknesses or gaps
  • CrossFunctional Collaboration:

    Work closely with model owners, Treasury Risk Management, business stakeholders, and development teams to clarify model design decisions and assumptions, and to ensure that identified model risks are adequately addressed.
  • Governance & Documentation:

    Review and advise on model development documentation to ensure it complies with firm standards and regulatory requirements; guide model owners on documentation improvements and validation approach where needed.
  • Validation Reporting:

    Prepare clear, comprehensive validation reports articulating findings, challenges, and conclusions. Facilitate review and obtain agreement from relevant stakeholders on validation outcomes.
  • Remediation Oversight:


    Recommend actionable remediation plans to address identified model risks, monitor progress, and ensure timely resolution of validation issues.
  • Model Performance Monitoring (MPM):


    Review ongoing performance monitoring of validated models, including reviewing backtesting results, and updating risk assessments as necessary.
  • Model Repository Maintenance:


    Ensure that all validation documentation, reports, and relevant model information are accurately maintained and uptodate within the official Model Database and governance platforms.

    Mind Set:

    Mandatory

    Desired

    Domain

    • Degree in quantitative subject (Math, Engineering, Statistics, Economics with quantitative minor, or equivalent)
    • Basic understanding of balance sheet items, ALM
    • Basic understanding of Liquidity & Funding management
    • Basic knowledge of relevant regulatory landscape (Basel III, ILAAP, LCR, NSFR)
    • Good written communication in English
    • Ability to communicate and influence effectively
    • Strong critical thinking skills and demonstrated ability to produce clear, concise written reports
    • Relevant work experience, preferably in liquidity risk model development or validation
    • Sound knowledge of treasury business, credit risk and credit rating models
    • Knowledge of Treasury instruments, pricing models, and embedded risks
    • Experience with behavioural modelling
    • Ability to organize & plan
    • Highly organised in terms of documentation and follow through

    Technical

    • Basic exposure to a major programming language (e.g., Python, R) and coding
    • Strong analytical and problemsolving skills
    • Familiarity with statistical or quantitative software tools
    • Experience with advanced statistical or modelling software (e.g. SAS, Matlab)
    • Knowledge of data extraction, transformation and loading processes (ETL)
    • Understanding of model risk management frameworks
    • Experience with model performance monitoring and validation techniques

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Nomura

Financial Services

Tokyo

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