Manager, Deterministic Quantitative Methods - Independent Review & Assurance
This role within the Model Risk Management organization at Standard Chartered Bank focuses on the independent review and assurance of deterministic quantitative methods (DQMs). You will oversee risk assessment outcomes, validate control effectiveness, and provide guidance to 1LoD stakeholders to ensure compliance with regulatory standards. The position requires extensive experience in financial services risk management and a strong grasp of end-user computing controls. You will work in a matrixed environment to drive governance and risk mitigation strategies across the group.
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Experience
6-8 years
Function
Finance
Work mode
Hybrid, India
Company
Tier 2
What you will work on
This role within the Model Risk Management organization at Standard Chartered Bank focuses on the independent review and assurance of deterministic quantitative methods (DQMs). You will oversee risk assessment outcomes, validate control effectiveness, and provide guidance to 1LoD stakeholders to ensure compliance with regulatory standards. The position requires extensive experience in financial services risk management and a strong grasp of end-user computing controls. You will work in a matrixed environment to drive governance and risk mitigation strategies across the group.
TAL's take
Solid role at a well-known international bank, focused on high-stakes model risk management and governance.
The JD is extremely detailed, clearly outlining the DQM IRA team's mandate, specific responsibilities in model risk governance, and regulatory requirements.
Must haves
- 6-8 years experience in financial services
- 2-3 years experience in 2LoD risk functions
- Experience reviewing EUCs, non-model calculators, and non-model estimators
- Knowledge of model risk regulations such as SS1/23 and SR11-7
- Understanding of financial market products and measurement metrics
Tools and skills
Nice to have: euc development, macro programming.
About the company
Global international bank, but role is focused on internal model risk and governance rather than core engineering.
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