Job Description

To lead and review the audit process for a portfolio of audits through audit execution and oversight of the audit team to independently and objectively provide assurance that enables client centric risk management.

• Build strong relationships with relevant senior internal stakeholders to understand the business and to enable assurance processes and GIA’s wider objectives.
• Assess, identify and report on practices in the scope of audit projects which negatively impact client experience and raise recommendations to improve client experience
• Adhere to GIA methodology, policies and procedures. Manage adherence of team members on audit projects. Guide team members to enhance their understanding and application of GIA methodology, policies and procedures.
• Develop and maintain a risk assessment on all areas of risk origination and risk management of the business area responsible for, covering all the risk types to inform audit planning and reporting.
• Contribute to the effective development of audit technology by providing input on technology needs.

Qualifications

• Degree – Mathematics/Financial Engineering/Quantitative Risk Management Degree with majors in Mathematics, Statistics (Min)
• Post Graduate Degree – Mathematics/Financial Engineering/Quantitative Risk Management (Pref)

Other Preferred Qualifications, certifications or professional memberships

• FRM/CFA

Additional Information

Experience Required

• 1 – 2 years: Experience analysing complex sets of data to interpret, visualise and identify trends. Understanding of IT controls.
• 3 – 5 years: Planning and executing audits. Managing and engaging with various stakeholders at a Senior Level. Experience in managing and leading teams with a proven track record of delegating and prioritizing tasks.
• 3 – 5 years: Past working experience across model cycle, i.e., model development, model validation and usage from a bank or internal/external audit. • Knowledge of statistical, financial, risk and quantitative methods • Experience in using relevant coding packages such as SAS, Python, R and SQL