Agent
Jobs
Applied
Tracker
Profile
    1. Jobs for you
    2. Job

    Job · 22358982

    Morgan Stanley logo

    Associate-Model Risk Management

    Morgan Stanley · Mumbai · onsite · Posted today

    Undisclosed3–5 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Company Profile Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture. Department Profile The cornerstone of Morgan Stanleys risk management philosophy is the execution of risk-adjusted returns through prudent risk-taking that protects Morgan Stanley’s capital base and franchise. Risk Management protects the firm from exposure to losses resulting from market volatilities and defaults by our lending and trading counterparties. Background on the Position Morgan Stanley’s Model Risk Management (MRM) department resides within Morgan Stanley’s Firm Risk Management Division. Morgan Stanley’s global MRM team, spread across New York, London, Mumbai and Budapest is broadly responsible for the risk management of all of the Firm’s models involving model validation, risk assessment, and governance and act as an effective second line of defence within the Firm. Morgan Stanley is seeking a strong candidate to be a member of the MRM team in Mumbai, focused on the review, validation and risk assessment of models and tools on Traded Risk including, but not limited to VaR, FRTB IMA, RNIV etc. Primary Responsibilities The primary responsibilities of the role include, but are not limited to the following:

    Provide independent review and validation compliant with MRM policies and procedures, regulatory guidance and industry leading practices, including evaluating conceptual soundness, quality of model methodology, model limitations, data quality, and on-going monitoring of model performance

    Take initiatives and responsibility of end-to-end delivery of a stream of Model Validation and related Risk Management deliverables

    Write Model Review findings in validation documents that could be used for presentations both internally (model and tool developers, business unit managers, Audit, various global Committees) as well as externally (Regulators)

    Verbally communicate results and debate issues, challenges and methodologies with internal audiences including senior management

    Represent MRM team in interactions with regulatory and audit agencies as and when required

    Follow financial markets & business trends on a frequent basis to enhance the quality of Model and Tool Validation and related Risk Management deliverables. Qualifications Skills required (essential / preferred)

    Masters or Doctorate degree in a quantitative discipline such as Statistics, Mathematics, Physics, Computer Science or Engineering is essential

    Experience in a Quant role in validation of Models, in developments of Models or in a technical role in Financial institutions e.g. Developer, is essential

    Strong written & verbal communication skills including debating different viewpoints and making formal presentations of complex topics to a wider audience is preferred

    4-6 years of relevant work experience in a Model Validation role in a bank or financial institution

    Proficient programmer in Python ; knowledge of other programming languages like R, Scala, MATLAB etc. is preferred

    Willingness to learn new and complex topics and adapt oneself (continuous learning) is preferred

    Working knowledge of statistical techniques, quantitative finance and programming is essential; good understanding of various complex financial instruments is preferred

    Knowledge of popular machine learning techniques is preferred

    Relevant professional certifications like CQF, CFA or progress made towards it are preferred

    Desire to work in a dynamic, team-oriented, fast-paced environment focusing on challenging tasks mixing fundamental, quantitative, and market-oriented knowledge and skills is essential



    Sourced from naukri

    Skills

    Traded riskModel RiskVARmathematicsquantitative analysisModel ValidationstatisticsmrmValue At RiskPythonQuantitativeModel Development

    About Morgan Stanley

    Morgan Stanley logo

    Morgan Stanley

    Financial Services

    16.0k+

    employees

    1931

    95 years old

    New York, New York

    United States (USA)

    About

    Morgan Stanley helps individuals, families, institutions, and governments raise, manage and distribute the capital they need to achieve their goals.

    Industries

    Financial Services

    Employee ratings

    2,050 reviews

    3.6/ 5

    Culture

    3.6

    Career growth

    2.8

    Work-life

    3.6

    Employees rate it well for

    Work Life Balance357Work Culture349Salary281Senior Management203Job Security176

    Find them on

    WebsiteLinkedInAmbitionBox reviews

    Associate-Model Risk Management · waiting for your command