Summary
Date Posted: Thursday, April 23, 2020 , Base Salary: Not Disclosed

JOB DETAILS:
Standard Bank Group is the largest African banking group by assets offering a full range of banking and related financial services. "Africa is our home, we drive her growth” Our vision is to be the leading financial services organisation in, for and across Africa, delivering exceptional client experiences and superior value. This sets the primary goals and standard of excellence we intend to achieve in the medium term. With a heritage of over 150 years, we have an on-the-ground presence in 20 countries in sub‑Saharan Africa; fit-for-purpose representation outside Africa; and a strategic partnership with the Industrial and Commercial Bank of China (ICBC). In line with the realities of risk, regulation, technology and competition that characterise our operating context, we continue to invest significantly in our diversified operations; our people and culture; our systems and infrastructure; and our brand. In doing so, we understand that our commercial success and social relevance over the long term depends on placing our clients at the centre of everything we do, and ensures that the outcomes of our activities are a catalyst for growth on this continent we call home.
Job Details
Risk Management: Understanding all risks – from the economic to the political – that could affect our global business, and offering guidance to all parts of the bank. .

Key Responsibilities/Accountabilities
Business Requirements
• Sources appropriate data and prepares meaningful and accurate management information (MIS) for allocated portfolios to support Business, Operational, Credit and Finance Reporting.
• Collects and collates the appropriate data for report generation.
• Conducts in-depth analysis of user needs and prepares the appropriate reporting where required (based on urgency and priority)
• Executes all new reporting requirements.
• Provides the necessary big data where required based on business requirements.
Data Transformation and Reporting
• Validates data accuracy by performing standard reconciliation – remediates any data discrepancies or escalates for assistance where required.
• Optimises current reporting processes and provides input into the development of reporting processes to meet timelines.
• Automates relevant production reports to improve the reporting, data extraction and information preparation processes through using appropriate scheduling toolsets.
Reporting and Analytics process
• Extracts, stores, manipulates, processes, analyses and provides information for standardised and bespoke reporting.
• Continuously monitors and tests processes and data to detect errors in order to improve reporting efficiencies.
• Interprets data into information following collation of large sources of disparate data.
• Writes SAS/SQL coding in line with reporting requirements and as far as possible implements automated scheduling.
• Adheres to timelines for new and existing reporting requirements.
• Stays abreast of all changes of how the Customer Decision Engine (CDE) works to qualify and non-qualify customers for lending limits.
Trend Analysis
• Analyses portfolio trends and any changes thereof followed by a detailed investigation to determine the root cause – extracts the relevant account level data as input into portfolio reporting.
• Identifies and highlights data quality issues that affect the accuracy of insights and analytics.
• Keeps up to date with insights and analytics best practice to ensure new and improved designs and products provide improved value to stakeholders.
• Identifies and reports any portfolio risk appetite breaches across the countries.
• Prepares reports on ROE portfolio performance.
• Reconciles all the daily/weekly/monthly reporting outputs and resolves any issues identified (such as operational issues).

Knowledge/Technical Skills/Expertise
Behavioral Competency
• Interpreting Data
• Examining Information
• Checking Details
• Documenting Facts
• Team Working
• Completing Tasks
• Meeting Timescales
• Understanding People
• Interacting with People
• Exploring Possibilities
• Producing Outputs
• Taking Action
• Upholding Standards

Preferred Qualification and Experience
• A degree in business commerce or risk management or degree with a statistical focus e.g. BSc. SQL/SAS/Qlik proficiency is essential.
• 3-4 years experience in credit data analytics within a personal and business banking environment with specific focus on the credit life cycle. Experience in (preferably credit) data exploitation and business intelligence development and implementation. Experience in the extraction, transformation and visualisation of data using bank approved toolsets e.g. SAS / SQL / Python / Qliksense.

Job Education Requirements: Not Specified

Job Education Experience: Not Specified

Work Hours: 8

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