This is an excellent opportunity for a SENIOR DATA ANALYST (Credit Risk) to join a CREDIT RISK IMPAIRMENT team at the forefront of ANALYSIS in a leading RETAIL BANK.
Based in CAPE TOWN this SENIOR DATA ANALYST role offers a salary of R700K – R750K/annum + benefits.
Highly respected and established RETAIL BANK – this is an innovative Modern Bank with an appetite for Risk based on exceptional Data Analytical capabilities. They are a highly desirable business to join, where you’ll work with a large team of skilled Data Analysts, receive great training and career progression opportunities.
As Snr DATA ANALYST (Credit Risk Impairment) you’ll perform data analysis, forecasting, reporting and analysis of key performance drivers of impairment in order to deliver against financial commitments. Ensure the continuous improvement of the impairment modelling methodology and forecasting techniques applied, and compliance with credit policy and regulatory requirements. Identify impairment risks and opportunities and drive resolution.
Knowledge of RETAIL FINANCIAL SERVICES AND/OR CREDIT RISK MANAGEMENT techniques across the entire credit life cycle on consumer portfolios.
Proven ability in analytics, business acumen and presenting/communicating recommendations across all organisation levels.
Understanding of financial metrics in relation to portfolio management and the associated forecasting thereof.
Effective stakeholder management and ability to work with diverse teams to ensure effective implementation of projects.
University degree in Business/Mathematics/Statistics/Accounting/Economics/Risk Management or equivalent industry training and experience.
Senior Analyst experience in Credit Risk, performing data analysis utilising a standard statistical package such as SAS or SQL.
Experience in working with various data sets as well as ability to establish data integrity and relationships.
Experience in SAS (intermediate or advanced) programming or equivalent structured language analytical software for statistical analysis and manipulation of very large data sets.
If you qualify for this role, please email your CV directly to:
021 801 5001
If you have not had a response to your application within 14 days please consider your application to be unsuccessful.