Internal Audit:Auditor - Model Risk Audit

Role Description About Internal Audit

Internal Audit function of the Bank, operates independently under the supervision of the Audit Committee of the

Board and is responsible for providing an independent view to the Board of Directors and Senior Management on

the quality and efficacy of the internal controls, risk management systems, governance systems and processes in

place on an on-going basis. This is provided to primarily ensure that the business and support functions are in

compliance with both internal and regulatory guidelines.

About The Role The candidate should have master’s degree in Statistics, Econometrics, or a related quantitative field. Proven

experience in Risk Modelling/Model validation and proficiency with statistical modeling software (‘R’ & SAS) is

desired.

Key Responsibilities

• Model Risk specialist, in close collaboration with Risk Audit team members will execute audits and other

model risk audit related activities to ensure efficient and high quality audit execution for critical models in

use at the Bank.

• The internal audit role would include the following as part of the day-to-day job:

− Audit of model development and validation process within the Bank.

− Updating risk and control matrix and checklist for audits being undertaken.

− Undertaking detailed walkthrough of the processes being audited and develop data request for

the audit

− Updating of internal audit MIS with the status of audit observations and other actionable

emanating to the audit department

− Assisting in making presentations to senior management and audit committee on the audits

undertaken and performance of internal audits

− Provide necessary support in automating tests used in audit execution for achieving Continuous

Control Monitoring (CCM)

Qualifications Optimal qualification for success on the job is:

• Knowledge of SR 11-7 guidelines and its implementation for the model governance
• Experience in development and validation of statistical models in use across banks, primarily for the purpose of Credit underwriting and measurement & management of Credit Risk, Market & ALM Risk, ICAAP & Stress testing etc.
• Previous work experience in Risk Analytics or Model Risk team of a bank or Risk advisory team of leading consulting firm with majority of time allocated on developing or validating statistical/econometric models
• Proficiency in statistical modeling software ‘R’, Python, SAS & SQL is an added advantage
• Excellent written and verbal communication skills

Role Proficiencies For successful execution of the job, a candidate should possess the-

• Knowledge of relevant Audit Systems
• Good communication (both verbal & written) and inter-personal skills
• Strong Excel and database manipulation skills, financial and statistical analysis skills)
• Ability to manage risk and uncertainty for self and team within a dynamic priority-setting environment
• Ability to prioritize and make decisions in a fast-paced environment
• Ability to manage multiple tasks/projects and deadlines simultaneously