Audit Manager

Posted Yesterday
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Hiring Remotely in Kenya
Remote
Mid level
Fintech • Software • Financial Services
The Role
Conduct risk-based internal audits, independently review lending models, assess model risk governance and data quality, and apply quantitative techniques and advanced analytics to identify risks and test controls. The role develops audit plans, communicates evidence-based findings, advises stakeholders, and contributes to internal audit capabilities related to model risk, data science, and emerging banking regulations.
Summary Generated by Built In

KEY RESPONSIBILITIES: MUST NOT BE MORE THAN 10

  • Determine the internal audit scope for assigned areas and develop risk-based audit plans aligned with the Bank's strategy, risk profile and Internal Audit methodology.
  • Execute risk-based audits and provide independent assurance on the adequacy and effectiveness of governance, risk management and internal controls, including compliance with applicable policies, regulatory requirements and legislation.
  • Perform independent reviews of lending models across the Bank, assessing model design and methodology, underlying assumptions, data, implementation, validation, performance monitoring and continued fitness for intended use.
  • Assess the effectiveness of model risk governance, including model identification and inventory, ownership, development, independent validation, approval, implementation, change management, performance monitoring and management of model limitations.
  • Apply appropriate quantitative and data science techniques to independently test and challenge models, including, where applicable, back-testing, benchmarking, sensitivity analysis, stability testing, calibration and model performance assessment.
  • Apply advanced data analytics to audit engagements to interrogate large and complex datasets, identify anomalies and emerging risk patterns, assess control effectiveness and enhance audit coverage.
  • Assess the adequacy of data used in models and key business processes, including data quality, completeness, accuracy, lineage and relevant data controls.
  • Develop and communicate clear, evidence-based audit findings and recommendations, translating complex modelling and data-related matters into understandable risk and control implications for relevant stakeholders.
  • Maintain effective stakeholder relationships and provide appropriate technical input and advisory support on risk management, internal controls, governance, model risk and data-related matters while safeguarding Internal Audit's independence.
  • Stay abreast of emerging developments in banking, regulation, model risk, data science, artificial intelligence and internal audit, and contribute to the enhancement of Internal Audit's model-review and data-analytics capability.

MINIMUM POSITION QUALIFICATION REQUIREMENTS

  1. Academic & Professional
Particulars Detail Specific Field or Qualification Need Type[1] Education  Bachelor’s degree Business, Computer Science, Economics, Statistics, Actuarial Science, Data Science, Mathematics or equivalent combination of education and experience. RQ Professional Qualifications Accounting, Finance, Internal Audit, Risk and Data science or related discipline qualifications e.g. CPA (K)/ ACCA/ CISA/ CIA/FRM or equivalent AA Master’s degree Statistics / Actuarial Science/Data Science/MBA AA Proficiency Tools, languages and techniques SQL, R, Python, Supervised and Unsupervised Machine Learning Techniques. RQ
  1. Experience

Total Minimum No of Years Experience Required



4


Detail Minimum No of Years Need Type Hands-on lending model development, validation, independent model review or quantitative risk analytics. 4 ES Relevant experience in audit. 2 DE Data science/advanced analytics using Python, R, SQL, SAS or equivalent 3 ES Banking/financial-services or auditing financial institutions experience 3 ES Stakeholder Management 2 ES

 

[1] Need Types are : RQ = Required, AA = Added Advantage


[2] Need Types are: ES = Essential, DE = Desirable but not Essential

Skills Required

  • Bachelor's degree in Business, Computer Science, Economics, Statistics, Actuarial Science, Data Science, Mathematics, or equivalent education and experience
  • Proficiency in SQL, R, Python, and supervised and unsupervised machine learning techniques
  • At least 4 years of total relevant experience
  • At least 4 years of hands-on lending model development, validation, independent model review, or quantitative risk analytics experience
  • At least 2 years of relevant audit experience
  • At least 3 years of data science or advanced analytics experience using Python, R, SQL, SAS, or equivalent
  • At least 3 years of banking, financial-services, or financial-institution auditing experience
  • At least 2 years of stakeholder management experience
  • Professional qualification in accounting, finance, internal audit, risk, data science, or a related discipline, such as CPA, ACCA, CISA, CIA, or FRM
  • Master's degree in Statistics, Actuarial Science, Data Science, or Business Administration
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The Company
HQ: Nairobi, Kenya
6,751 Employees
Year Founded: 1896

What We Do

KCB Group, is the largest financial services organization in East Africa in terms of asset size. The Group's headquarters are located in Nairobi, Kenya, with subsidiaries in Kenya, Rwanda, Southern Sudan, Tanzania, Uganda and Burundi. In 2015, KCB Group opened a representative office in Ethiopia, expanding the growth of the organization. The Bank is over 124 years old having started in Mombasa in 1896. KCB Group has over 354 branches, 26,394 Agents/POS Merchants and 1,103 ATMs. The bank also offers Mobile Banking though the KCB App, Internet Banking and Diaspora Banking Services platform that can be accessed 24/7 basis. The Bank services over 26.8 million customers across the region. KCB Group is the largest financial services organization in East Africa, with an estimated asset base of approximately Ksh. 1.02 trillion as at the of end H1 2021.

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