Quantitative Credit Analytics Specialist - AVP

Empowering Africa’s tomorrow, together…one story at a time.

With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

We are looking for a Data Analyst/Data Scientist to join our dynamic and diverse Risk Measurement and Analytics team. We are seeking people that are passionate about using data to solve problems, to turn data into information and information into insight that will lead to informed business decisions.

Therefore, the purpose of the role is to enable Absa, Business Banking Credit to minimize credit risk and regulatory capital through:

• Proposing strategic and tactical solutions via a collaborative approach involving data science and mathematical / statistical analysis.
• Quantifying risks and benefits associated with solutions to enable the business and help senior management make data driven decisions across the entire Business Banking Credit department.

Accountabilities:

• Interpret data, analyze results and interpret trends enabling continuous improvement in risk measurement, data quality and overall business performance.
• Extracting, Aggregating, Cleaning and Analysing Data from Large Relational Databases.
• Apply logical reasoning supported by mathematical analytics to propose strategies/solutions to business problems that are signed off at organisational committees.
• Strategic Application of Logical Reasoning and Mathematical Analytics.
• Utilize logical reasoning in conjunction with robust mathematical analytics to develop and propose effective strategies and solutions to address a range of business challenges. These proposals are substantiated by thorough analytical frameworks and are subsequently presented for approval at various organisational committees. The process ensures that each recommendation is carefully evaluated and aligned with business objectives prior to implementation.
• Driving implementation and monitoring of approved strategies/solutions from a business perspective.
• Interact and collaborate with technical (finance, risk, data teams) and other business stakeholders to identify data sources, find data definitions for master and metadata as well as formulate and implement solutions.
• Create detailed specifications that specify data sources, data flows, data transformations, data storage and reporting including documentation such as source-to-target-maps, data dictionaries and data models.
• Promote reusability, maintainability, reliability, and scalability in design and development of analytical and data solutions.
• Explore and promote predictive and prescriptive analytics.

• Possesses more than five years of relevant experience within the industry, with a strong focus on the mathematical analysis of data. Demonstrated ability to leverage data-driven techniques to solve complex business problems and inform strategic decision-making processes.

Experience to include the following:

• Working with SAS/ SQL / R / Python coding languages.
• Experience gained in a Financial Services environment.
• Experience with Risk Management analysis, processes and systems.

Education Required

• An Honours Degree in Mathematics, Applied Mathematics, Statistics.
• Relevant professional qualifications or certifications in SAS/ SQL / R / Python coding languages will be beneficial but strong work experience can fill this gap.

Bachelor`s Degrees and Advanced Diplomas:
Business, Commerce and Management Studies (Required)

Absa Bank Limited is an equal opportunity, affirmative action employer. In compliance with the Employment Equity Act 55 of 1998, preference will be given to suitable candidates from designated groups whose appointments will contribute towards achievement of equitable demographic representation of our workforce profile and add to the diversity of the Bank.

Absa Bank Limited reserves the right not to make an appointment to the post as advertised