Job Description
Hello Future Asset and Liabilities Data Operations Analyst!

• RMB is a place where exceptional people create their own opportunities by challenging the conventional and driving sustainable impact. 
• United by our proud heritage, strong ethics and philosophy of Traditional values. Innovative ideas, it’s the magic of our people and culture that sets us apart.
• Now, is the time to imagine your next move with South Africa’s number one employer in Financial Services for 2023, where you can embrace the power of collective thinking to unlock unique opportunities for our clients and society.
• This role will play a pivotal role in translating and embedding data operational principles across the various segments of the organisation.
• To analyse, check, and report on ALMA risk data, Deposit Insurance data, Reference Rate data and Fixed book hedging data, ensuring accurate in operational data for compliance to various data standards, attested to an independent source and, acting as a conduit between the bank’s operations areas and the Group Treasury function and other functions within the bank. 
• To contribute to maintaining the bank’s financial stability by providing essential data and analysis that informs key decision-making processes.

Are you someone who can:

• Ensure the delivery of attested daily and monthly data by managing data sourcing, data analysis, data governance and exception handling to all stakeholders.
• Ensure the attested records for asset and liability data across the bank’s various segments, ensuring accuracy, completeness, and timeliness to enable reporting and analysis to other areas.
• Reconcile ALMA data with the general ledger to ensure consistency and accuracy in reporting.
• Ensure all new products and data has been verified and appropriated captured and reported to the respective data standard.
• Assist in the documentation of all processes and procedures to ensure transparency and consistency per bank governance policies.
• Collaborate with internal audit teams to provide necessary data and insights during audits related to team activities.
• Monitor reconciling differences and other data issues, escalating to line management as necessary.
• Investigate and resolve data quality issues and reconciliation differences with the respective data provided by liaising with the respective operational, finance and technology areas.
• Support with necessary insights into valuation differences from valuation model discrepancies.
• Support the implementation of new team systems or upgrades, ensuring minimal disruption to reporting processes.
• Analyse and verify data concerns raised by data consumers with internal stakeholders, ensuring compliance with regulatory and other requirements.
• Assist with insights into the key risk indicators related to all data standards, including but not limited to asset and liability management.
• Support in the preparation of stress testing scenarios to assess potential impacts on the bank’s balance sheet.
• Assist in the development and maintenance of models, by providing operational business insight.
• Liaise and assist in the regression testing of all system migrations, data changes and new productions.
• Ensure up-to-date knowledge on market conditions to ensure collaboration with all stakeholders.
• Coordinate with various segments to gather data necessary for ALMA analysis and reporting.
• Engage in continuous learning to stay updated on evolving ALMA practices and regulatory changes.
• Promote inclusivity by valuing diverse perspectives in the analysis and reporting process.
• Participate in team innovation sessions to enhance all processes and systems.
• Ensure deep knowledge and understanding of banking products and operational processes.
• Uphold the bank’s high-performance culture by consistently meeting deadlines and delivering accurate results.

You will be an ideal candidate if you:

• Bachelor’s degree in Finance, Economics, Accounting, or a related field
• Honour’s degree in Finance, Economics, Accounting, CA(SA) or a related field
• 3 to 5 years’ experience in a similar environment, of which 1 to 2 years ideally at junior (entry level) management level
• Basic understanding of financial risk management principles.
• Proficiency in financial modelling and data analysis tools such as Excel or Python.
• Experience in an ALMA or financial risk management environment.
• Familiarity with regulatory frameworks related to ALMA activities.
• Proficiency in advanced data analytics platforms (e.g., SQL, R).
• Deep understanding in data operational processes and deal bookings

You will have access to: 

• Opportunities to network and collaborate
• Opportunities to innovate

We can be a match if you are: 

• Curious & courageous – you’re driven by always wanting to know more and learn more and you’re brave enough to
• Obsessed with mastery – you know what it takes to become good at what you do and are constantly pushing yourself to do it