Internal Audit- Model Risk- Associate- Bengaluru
- Recruiter
- Goldman Sachs
- Location
- Karnataka, India
- Salary
- Competitive salary
- Posted
- 18 Oct 2021
- Closes
- 19 Oct 2021
- Ref
- 2021-73672
- Job role
- Audit, Compliance/risk, Internal audit
MORE ABOUT THIS JOB
INTERNAL AUDIT
In Internal Audit, we ensure that Goldman Sachs maintains effective controls by assessing the reliability of financial reports, monitoring the firm's compliance with laws and regulations, and advising management on developing smart control solutions. Our group has unique insight on the financial industry and its products and operations. We're looking for detail-oriented team players who have an interest in financial markets and want to gain insight into the firm's operations and control processes.
RESPONSIBILITIES AND QUALIFICATIONS
JOB RESPONSIBILITIES
Develop and maintain an in-depth technical knowledge of modeling - both theory and coding
Critical review of models including their conceptual soundness, documentation, testing code implementation accuracy and independent validation
Conduct meetings with stakeholders including modelers and model validators
Execute risk-focused audits of modeling and model risk management
Engage in continuous monitoring of modeling and model risk areas
Communicating modeling problems and issues to senior management
BASIC QUALIFICATIONS
Team-oriented with a strong sense of ownership and accountability
Strong interpersonal and relationship management skills
Strong verbal and written communication skills and presentation skills (PowerPoint, Visio, etc.)
Highly motivated with the ability to multi-task and remain organized in a fast-paced environment
Advanced Degree (preferably PhD or Masters) in a quantitative discipline (Math, Statistics, Physics, Engineering, Computer science)
PREFERRED QUALIFICATIONS
Experience within the financial services industry is a plus.
Product Specific Skills and Experience:
Knowledge of financial modeling concepts, including (any combination):
Options pricing, credit default, structured products, econometrics, stress scenario creation
Any combination of risk management disciplines: credit risk, market risk, operational risk, funding / liquidity risk Knowledge in any of the following areas is preferred:
Risk measurement theory (Value-at-Risk, stress testing etc.)
Basel Capital Accord regulatory requirements (advanced model-based frameworks)
Controls surrounding model risk governance, model development, implementation and change management, model validation (Regulatory Guidance SR 11-7) Programming experience in quantitative and object oriented programming environments, e.g. Matlab, C++, C#, Python, Java, R, etc
INTERNAL AUDIT
In Internal Audit, we ensure that Goldman Sachs maintains effective controls by assessing the reliability of financial reports, monitoring the firm's compliance with laws and regulations, and advising management on developing smart control solutions. Our group has unique insight on the financial industry and its products and operations. We're looking for detail-oriented team players who have an interest in financial markets and want to gain insight into the firm's operations and control processes.
RESPONSIBILITIES AND QUALIFICATIONS
JOB RESPONSIBILITIES
Develop and maintain an in-depth technical knowledge of modeling - both theory and coding
Critical review of models including their conceptual soundness, documentation, testing code implementation accuracy and independent validation
Conduct meetings with stakeholders including modelers and model validators
Execute risk-focused audits of modeling and model risk management
Engage in continuous monitoring of modeling and model risk areas
Communicating modeling problems and issues to senior management
BASIC QUALIFICATIONS
Team-oriented with a strong sense of ownership and accountability
Strong interpersonal and relationship management skills
Strong verbal and written communication skills and presentation skills (PowerPoint, Visio, etc.)
Highly motivated with the ability to multi-task and remain organized in a fast-paced environment
Advanced Degree (preferably PhD or Masters) in a quantitative discipline (Math, Statistics, Physics, Engineering, Computer science)
PREFERRED QUALIFICATIONS
Experience within the financial services industry is a plus.
Product Specific Skills and Experience:
Knowledge of financial modeling concepts, including (any combination):
Options pricing, credit default, structured products, econometrics, stress scenario creation
Any combination of risk management disciplines: credit risk, market risk, operational risk, funding / liquidity risk Knowledge in any of the following areas is preferred:
Risk measurement theory (Value-at-Risk, stress testing etc.)
Basel Capital Accord regulatory requirements (advanced model-based frameworks)
Controls surrounding model risk governance, model development, implementation and change management, model validation (Regulatory Guidance SR 11-7) Programming experience in quantitative and object oriented programming environments, e.g. Matlab, C++, C#, Python, Java, R, etc