Associate MGG CIB Interest Rate Models
Mumbai City
2d ago
source : Shine

Financial Institutions routinely use models for a broad range of activities including analyzing business strategies, informing business decisions, identifying and measuring risk, valuing exposures or instruments, hedging derivative positions, conducting stress testing, assessing capital adequacy, managing clients assets, informing investment process, measuring compliance with internal limits, maintaining the formal control apparatus of the bank, meeting financial or regulatory reporting requirements and issuing public disclosures.

Model Risk arises from the potential adverse consequences of making decisions based on incorrect or misused model outputs and reports, leading to financial loss, poor business decision making, or reputational damage.

As part of the firm s model risk management function, the Model Governance Group (MGG) is charged with developing model risk policy and control procedures, performing model validation activities, providing guidance on a model s appropriate usage in the business context, evaluating ongoing model performance testing, and ensuring that model users are aware of the model strengths and limitations.

Core responsibilities :

The successful candidate will focus on the following activities :

  • Perform assessments of the conceptual soundness of model specification, the appropriateness of the methodology for its intended purpose, reasonableness of assumptions and reliability of inputs
  • Assess completeness of testing performed to support the correctness of the implementation
  • Assist with model identification process, assessing whether newly identified methodologies should be in scope of the model risk policy
  • Work with model developers and model users across the firm to understand methodology and usage
  • Liaise with other Model Governance groups in relevant coverage areas across the firm
  • Essential skills, experience, and qualifications :

    The successful candidate will have the following skills, experience, and qualifications :

    Quantitative background ideally with a Master s degree in Maths, Science, Engineering, Statistics, Quant Finance etc

    Strong quantitative, analytical, and problem solving skills; knowledge of probability theory, statistics, mathematical finance, econometrics, numerical methods

    Knowledge of Mortgage-Backed Securities and statistical modelling

    Knowledge of finance industry, particularly in modeling- valuation, risk, capital, forecasting, investment management

    Experience in model validation and / or model development preferred

    Strong communication and interpersonal skills

    Strong project management and organizational skills; ability to multi-task and meet deadlines

    Ability to work independently, with remote supervision

    Risk and control mindset : ability to ask incisive questions, assess materiality and escalate issues

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