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    Associate - Model Risk (Risk Management) - Mumbai, India - Morgan Stanley

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    Description

    Associate - Model Risk (Risk Management)

    Job Number: Not available

    Posting Date: May 15, 2024

    Primary Location: Non-Japan Asia-India-India-Mumbai (MSA)

    Education Level: Bachelor's Degree

    Job: Model Risk

    Employment Type: Full Time

    Job Level: Associate

    Description Background on the Position:
    Morgan Stanley's Model Risk Management (MRM) department is part of Morgan Stanley's Firm Risk Management Division, located globally in New York, London, Mumbai, and Budapest. The team is responsible for managing the risk of all models within the firm, which includes model validation, risk assessment, and governance to act as an effective second line of defense.

    Morgan Stanley seeks a qualified candidate to join the MRM team in Mumbai. The role involves reviewing, validating, and assessing risks of various models and tools related to Risk, Capital Planning, Asset Management, and AI-based Decision Support.

    Primary Responsibilities:

    • Provide independent review and validation in compliance with MRM policies, regulatory guidance, and industry practices
    • Take initiatives and oversee the end-to-end delivery of Model and Tool Validation and related Risk Management activities
    • Document findings in validation reports for both internal and external presentations
    • Communicate results and methodologies to internal audiences, including senior management
    • Represent the MRM team in interactions with regulatory and audit agencies
    • Stay updated on financial markets and business trends to improve the quality of validation and risk management deliverables

    Qualifications:
    Skills required (required/preferred)

    • Masters or Doctorate degree in Statistics, Mathematics, Physics, Computer Science, or Engineering
    • Experience in a Quant role in validation of Models/Tools or in a technical role in Financial institutions
    • Strong written & verbal communication skills
    • 5+ years of relevant work experience in Model/Tool Validation in a bank or financial institution
    • Proficient in Python with knowledge of other programming languages like R, Scala, MATLAB etc.
    • Willingness to learn new and complex topics
    • Working knowledge of statistical techniques and quantitative finance
    • Knowledge of machine learning techniques
    • Professional certifications like CQF, CFA preferred
    • Desire to work in a dynamic, team-oriented, fast-paced environment

    Morgan Stanley is an equal opportunities employer. We aim to create a supportive and inclusive environment where individuals can maximize their potential. Our workforce is diverse and inclusive, reflecting a variety of backgrounds, talents, and experiences. We are committed to recruiting, developing, and advancing individuals based on their skills and talents.


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