About the Opportunity
We are looking for an ambitious and highly motivated graduate to join our growing banking and financial consulting practice.
This is a unique opportunity to work directly with an experienced Credit Risk professional on projects across Africa involving Credit Risk, IFRS 9, Executive Reporting, Artificial Intelligence, Banking Analytics, Dashboard Development, and Professional Training.
This role is ideal for someone who wants to build a career in Banking Analytics, Data Science, Credit Risk and Financial Consulting while working on real consulting engagements.
Key ResponsibilitiesCredit Risk & Banking Analytics
- Develop Python scripts for banking data analysis and automation.
- Write SQL queries to extract, transform and analyse banking data.
- Support IFRS 9 Expected Credit Loss (ECL) model development and monitoring.
- Assist with Probability of Default (PD), Loss Given Default (LGD) and Exposure at Default (EAD) modelling.
- Analyse loan portfolio performance and credit risk trends.
- Prepare executive dashboards and management reports.
- Perform data validation and quality assurance.
- Assist with technical and business documentation.
Huchest Studio Platform
- Support the implementation and configuration of Huchest Studio solutions.
- Design executive dashboards and management reports.
- Develop reusable reporting templates.
- Test new platform functionality.
- Assist in preparing client demonstrations.
Artificial Intelligence
- Research and evaluate AI applications in banking.
- Develop AI-assisted reporting solutions.
- Identify opportunities to automate business processes.
- Explore innovative analytics techniques using modern AI tools.
Marketing & LinkedIn
- Research banking and financial industry trends.
- Draft LinkedIn articles and thought leadership content.
- Create professional graphics, infographics and presentation materials.
- Support webinar preparation.
- Assist with website and marketing content.
- Contribute to business development initiatives.
Course Development
Assist in developing professional training programmes covering:
- Credit Risk Management
- IFRS 9
- Basel Frameworks
- Python for Banking
- SQL for Banking Analytics
- Artificial Intelligence for Financial Services
- Executive Credit Risk Reporting
- Dashboard Development
Responsibilities include:
- Developing presentation slides
- Preparing practical exercises
- Creating sample datasets
- Writing participant manuals
- Developing quizzes and assessments
- Supporting online course production
Research & Consulting Support
- Research banking regulations and industry developments.
- Assist in preparing consulting proposals.
- Conduct market research.
- Prepare client presentations.
- Support consulting engagements.
- Contribute to product development and innovation.
Minimum Qualifications
- Bachelor's Degree in:
- Computer Science
- Data Science
- Statistics
- Mathematics
- Finance
- Economics
- Actuarial Science
- Information Systems
- or a related quantitative discipline.
- Approximately 1 year of professional experience or a relevant internship.
Essential Skills
- Python
- SQL
- Advanced Microsoft Excel
- Microsoft PowerPoint
- Excellent analytical and problem-solving skills
- Strong written and verbal English communication skills
Desirable Skills
Knowledge or experience in any of the following will be an advantage:
- Commercial Banking
- Credit Risk
- IFRS 9
- Probability of Default (PD)
- Loss Given Default (LGD)
- Exposure at Default (EAD)
- SAS
- R
- Power BI
- Tableau
- Git
- AI tools such as ChatGPT, Microsoft Copilot or GitHub Copilot
Equipment Requirements
Applicants must have:
- A reliable personal laptop or desktop computer suitable for software development and data analytics.
- A dual-monitor (two-screen) workstation.
- Reliable high-speed internet access.
- A quiet and professional home office environment.
- Backup power or internet connectivity is an advantage.
What You Will Learn
You will receive practical mentoring and hands-on experience in:
- Credit Risk Management
- IFRS 9 Expected Credit Loss (ECL)
- PD, LGD and EAD Modelling
- Executive Credit Risk Reporting
- Banking Portfolio Analytics
- Dashboard Development
- Python & SQL for Banking
- Artificial Intelligence in Financial Services
- Huchest Studio Platform
- Banking Consulting
- Business Development
- Professional Communication
Career Progression
This role is designed as the first step in a long-term consulting career.
Candidates who successfully complete the initial three-month probationary period may be offered a two-year contract with:
- Performance-based salary progression.
- Increased responsibilities.
- Opportunities to work on international banking and consulting projects.
- Continuous mentoring and professional development.
Who Should Apply?
We are looking for graduates who are passionate about:
- Banking
- Credit Risk
- Data Analytics
- Artificial Intelligence
- Python Programming
- Financial Modelling
- Business Intelligence
- Consulting
If you enjoy solving complex business problems, working with data, and developing innovative solutions for financial institutions, we encourage you to apply.
Application Requirements
Please submit:
- Your CV.
- A one-page cover letter explaining why you are interested in the role.
- Links to your GitHub repository, Python projects, dashboards or portfolio (if available).
Only shortlisted candidates will be contacted and invited to complete a technical assessment and interview.
One final recommendation
Instead of advertising this as a Graduate Credit Risk & AI Associate, I'd use the title:
Graduate Banking Analytics & AI Consultant (Credit Risk)
It's broader, more prestigious, and likely to attract stronger candidates. It also aligns better with the mix of consulting, Huchest Studio implementation, executive reporting, course development, and AI work that they'll actually be doing.
Pay: From £400.00 per month
Work Location: Remote
