Credit Risk – Consultant / Senior Consultant at Deloitte

Full Time Job @Deloitte Africa – Ghana in Consulting & Strategy Share this job

Job Detail

  • Job ID 22696
  • Career Level  Officer
  • Experience  5 Years
  • Gender  Any
  • Qualifications  Bachelor's Degree
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Job Description

Job Opportunity: Credit Risk – Consultant / Senior Consultant

Company: Deloitte
Location: Accra
Employment Type: Full-time
Application Deadline: 20 March 2026

Company Profile

Deloitte is a leading global professional services firm offering audit, consulting, financial advisory, risk, and tax services. We provide innovative solutions to help organizations manage risk, enhance performance, and achieve sustainable growth.


Position Overview

We are seeking a skilled Credit Risk Consultant / Senior Consultant to join our Accra team. The successful candidate will support the development and implementation of credit risk models, analyze credit portfolios, and contribute to regulatory compliance and risk management initiatives for clients in the financial services sector.


Key Responsibilities

  • Develop and implement credit risk models, including Probability of Default (PD), Exposure at Default (EAD), and Loss Given Default (LGD).

  • Apply predictive modelling techniques to support credit risk assessment and decision-making.

  • Assist in managing model risk and ensure compliance with Basel II/III regulations and IFRS 9 standards.

  • Analyze credit portfolios and prepare reports for internal teams and clients.

  • Collaborate with stakeholders to improve risk management processes and tools.

  • Maintain accurate documentation and provide technical insights on credit risk and financial modelling.


Qualifications & Experience

  • Education: Undergraduate degree in Statistics, Mathematics, Financial Engineering, Actuarial Science, Engineering, Economics, or Econometrics.

  • Experience: 3–5 years in banking, financial services consulting, or a related environment.

  • Technical Skills:

    • Fundamental credit risk modelling capabilities, including predictive modelling techniques

    • Knowledge of credit lifecycle, model risk management, Basel regulations, and IFRS 9

    • Financial modelling experience in PD, EAD, LGD, Basel II, and IAS39

    • Proficiency in Microsoft Word, Excel, and PowerPoint

    • Programming and coding skills in SAS, SAS Enterprise Guide, R, and/or Python


Competencies

  • Strong analytical and problem-solving skills

  • Attention to detail and accuracy in modelling and reporting

  • Effective communication and stakeholder engagement

  • Ability to work independently and in a team environment

  • Proactive approach to learning and applying regulatory requirements


How to Apply

Interested candidates should submit their CV

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