Senior Credit Risk Modelling Business Analyst | 6-Months

SUMMARY:
Uyandiswa services are delivered through turnkey projects, resource augmentation as well as managed services, thanks to our flexible model which aligns to your needs.
We deploy the use of various best practice methodologies, including PMBOK and AGILE. Our expertise also extends to LEAN SIX SIGMA, SQL Development, Qlikview, JAVA, and others.
We pride ourselves on delivering an excellent management consulting experience and providing world-class services in strategic planning, project management, business analytics, PMO set-up and Business Process Optimisation.
With a significant and increasing pipeline of work, we are looking to recruit highly talented, ambitious and motivated individuals to join us on our journey. It’s an exciting time to join Uyandiswa and a great place to work. If you have the skills and experience as stipulated below, can demonstrate a strong level of achievement in your career and want to join a thriving solution-driven organization where you can continue to develop your skills, we would like to hear from you.

POSITION INFO:
Are you a meticulous Credit Risk Business Analyst with experience in unpacking credit risks models and analyzing data sources to ensure model performance and compliance?
Do you have experience working within the Financial Services and Financial Services Products space? If so, our client in Banking is looking for you!

Your responsibilities will include:

• Analyzing complex business processes
• Defining problem statements
• Delivering practical solutions that meet business objectives
• Data Management and Project Management
• Creating comprehensive documentation of current models and data flows
• Collaborating with Quantity Analysts and Data Analysts to enhance model functionality
• Mentoring junior Analysts in data analysis techniques and model unpacking methodologies
• Model Deployment Analysis
• Keeping abreast of credit risk regulations and industry best practices to ensure compliance

• Minimum 5 years experience in Credit Risk Modelling within Financial Services
• Data Analysis / Business Analysis with model unpacking and data sourcing experience
• Understanding of Credit Risk Models and Frameworks such as PD, LGD, EAD calculations
• Experience with model deployment processes
• Proficiency in Data Analysis tools and programing languages such as R, SAS, SQL, Python
• Strong aptitude for working with large data sets
• Ability to present technical information for non-technical stakeholders
• Strong Analytical and Leadership Skills
• Experience mentoring and guiding teams
• Bachelor’s degree in Finance, Statistics, Mathematics, Economics, or a related field (Master’s degree preferred)