Fresh Openings at Rand Merchant Bank

Job Description

• To implement appropriate financial controls in assisting to reach compliance in accounting processes and regulatory requirements through preparation and verification of daily and monthly Profit and Loss contributing to a sound control  environment

Are you someone who can: 

• Validate PnL movements, investigate variances and provide daily commentary for reporting to front office, finance management and business unit executives.
• Promote teamwork and inclusivity amongst team members and demonstrate behaviours that respect diversity.
• Lead and facilitate difficult conflict situations into agreements.
• Improve efficiencies to reduce operational risks and cost to serve.
• Report relevant PnL and balance sheet positions and review the applicable reconciliations, identifying and resolving any issues.
• Ensure that internal financial controls over PnL are operating effectively.
• Liaise with operations teams to resolve any settlement issues.
• Liaise with platform support teams to resolve any source system issues.

You will be an ideal candidate if you: 

• Have a Finance/Risk related qualification
• Solid financial markets experience is key
• Deep knowledge of various financial instruments

Deadline:8th March,2026

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• The Head of Short-Term Lending is a senior leadership role responsible for overseeing and managing the bank’s short-term lending portfolio, including General Banking Facilities (GBF), Money Market (MM), Short-Term Loans, and Trade Loans. 
• The role requires strong technical expertise, a strategic mindset, and the ability to lead a team across both front-office origination and middle-office operations. This leader will be responsible for ensuring effective risk management, operational efficiency, and revenue growth while maintaining compliance with regulatory requirements.

Key Responsibilities:

Business Strategy & Growth - Capacity planning and capability management

• Define and execute the strategy for the short-term lending business in alignment with the bank’s overall objectives and what is required to manage the capacity and volume.
• Develop and maintain strong relationships with corporate and institutional clients to enhance lending activities and understand the operations.
• Monitor market trends and competitor activities to identify opportunities for innovation.

Product & Risk Management

• Oversee and manage the bank’s short-term lending portfolio, ensuring prudent risk management and adherence to credit policies.
• Work closely with the credit and risk functions to establish appropriate credit frameworks and policies for short-term lending products.
• Ensure effective operations and scalability of the execution of the end to end operating model of STL products.
• Monitor and manage portfolio performance, identifying potential stress points and mitigating risks proactively.

Operational Oversight (Including Middle Office Supervision)

• Ensure smooth coordination between front office lending teams and middle-office operations, ensuring accurate processing, monitoring, and reporting of loan transactions.
• Oversee loan booking, documentation, settlements, and post-trade processes to ensure efficiency and accuracy.
• Implement automation and process enhancements to improve operational effectiveness and reduce risk.
• Ensure full regulatory and internal compliance across all short-term lending activities.

Leadership & Team Development

• Lead, mentor, and develop a team of lending professionals, fostering a high-performance and client-centric culture.
• Collaborate with other divisions, including risk, compliance, treasury teams, and technology, to ensure seamless execution of lending operations.
• Ensure continuous professional development for the team, equipping them with the skills and knowledge required to manage the evolving lending landscape.

Technical & Professional Requirements:

Technical Expertise

• In-depth knowledge of short-term lending products, including GBF, MM, trade finance loans, and short-term structured loans.
• Strong understanding of credit risk assessment, loan structuring, and pricing models.
• Knowledge of treasury, liquidity management, and capital markets in relation to short-term lending.
• Deep understanding of regulatory requirements for short-term lending and trade finance, ensuring compliance with Basel, IFRS 9, and local regulatory frameworks.
• Experience in middle-office functions, ensuring smooth loan administration, settlements, and risk controls.

Leadership & Stakeholder Management

• Proven ability to lead and develop high-performing teams across front-office and middle-office functions.
• Strong interpersonal and negotiation skills, capable of managing complex client relationships.
• Ability to collaborate with senior executives and influence decision-making at the highest level.
• Experience in managing cross-functional projects, including digital transformation and automation initiatives.

You Will Be An Ideal Candidate If You:

• have Bachelor’s or Master’s degree in Finance, Economics, Business Administration, or related fields.
• have 8-10 years of experience in short-term lending, corporate banking, or treasury operations, with at least 5 years in a leadership role.
• have experience with lending technology platforms, loan origination systems, and trade finance processing systems preferred.
• have strong analytical skills and ability to interpret financial and market data.

Key Success Metrics:

• Growth and profitability of the short-term lending portfolio relative to capacity.
• Efficiency and accuracy of middle-office operations.
• Compliance with regulatory and risk management frameworks.
• Team performance, engagement, and development.

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Job Description

• As an eStructurer, you will support the pricing and hedging of complex derivatives by staying informed of developments in financial markets, quantitative methods, technology and regulatory requirements. You will ensure that solutions balance profitability, client requirements and strong risk principles.
• You will price products, validate consistency with market levels and ensure accurate booking of transactions. You will manage the flow of information between Structuring, Sales and Trading. You will take ownership of pricing tools: helping to build curves, improve risk calculations, interpret stresses and integrate add-ons such as XVA into the pricing framework.
• You will assist with troubleshooting booking issues and downstream system challenges throughout the trade lifecycle. You will participate in reviewing and refining end‑to‑end processes, suggesting innovative improvements to enhance efficiency, minimize redundancy and support technology enablement across the business.

Hello Future eStructurer

• Join our Electronic Structuring team and help shape the next generation of pricing, risk and electronic trading capabilities across our business. You will play a leading role in designing, building and maintaining the tools that power our markets franchise. This includes curve building, derivatives pricing, risk and hedging analytics, trade autobooking workflows and XVA pricing integration.
• We are looking for someone who thrives at the intersection of structuring, quantitative modelling and software engineering. Someone who also enjoys solving complex problems, improving processes and delivering technology‑enabled trading solutions.

Are You Someone Who Can

• Control expenditure and identify process improvements to contain and reduce costs.
• Technical proficiency in pricing, booking and hedging of financial instruments.
• Ability to match client and bank requirements in a profitable manner.
• Develop, encourage and nurture collaborative relationships across area of specialisation.
• Participate in planned activities that are appropriate for own development.
• Ensure development and continuous value add improvement to operational processes.
• Manages risks in own area of responsibility.
• Compile reports that track progress and guide business to make informed decisions.
• Build working relationships across teams and functional lines to enhance work delivery, collaboration and innovation.
• Creates solutions to meet customer demands to deliver internal and external customer service excellence through adherence to quality service standards.
• Identify and utilize opportunities for revenue growth to deliver on sales targets.

You Will Be An Ideal Candidate If You Have:

• Relevant Degree in Financial Mathematics, Statistics, or similar
• 8 years plus experience in Derivatives and Financial Markets
• Banking / Global Markets experience

You will have access to: 

• Opportunities to network and collaborate
• Challenging working
• Opportunities to innovate

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• To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced mathematical models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, with minimal guidance.

Are you someone who can:

• Take all necessary actions to ensure compliance with relevant statutory, legislative, policy and governance requirements in area of accountability.
• Ensure implementation of relevant policies, governance and practice standards across the business.
• Maintain expert knowledge on relevant legislative amendments, industry best practices and internal compliance procedures and requirements.
• Ensure compliance is adopted in terms of systems and procedures as laid out by business.
• Implement and provide input into the development of governance and compliance procedures and processes within area of specialisation and identify risks.
• Innovate by finding the best fit solution for the situation such as the flexibility of delivery and customised solutions which result in more efficient outcomes.
• Maintain ownership of models through regular audits and updates to ensure relevance.
• Plan and perform regular model updates that capture evolving business complexity in current models
• Challenge current models to ensure relevance and accuracy of outputs.
• Test outputs and accuracy of models to ensure relevance.
• Use data and analytic insights to provide input into improving customer experience through a better understanding of the customers context to identify monetisation opportunities and monitoring implementation of business decisions to recommend enhancements utilising statistical modelling and data analysis.
• Validate, interpret and create reports and presentations for data analytics management and relevant stakeholders.
• Review and assist more junior Quantitative Analysts with processes and models.
• Adhere to model building policies, standards, frameworks, and governance process.
• Ensure own ethical usage of information that complies to restrictions applied for privacy and sensitivity classification.
• Understand and ensure implementation and adherence to Privacy business requirements, legislation and policy.
• Ensure reporting of any Information Privacy Incidents and escalate appropriately for resolution of Privacy and Protection Audit, Findings, Complaints, Incidents, Investigations and Privacy and Protection Assessments.
• Provide input into creation of delivery plans for achievement of outputs / deliverables in collaboration with business stakeholders to understand information requirements for strategy delivery and define metrics that track performance.
• Assist in analysis of available data to identify information commercialization opportunities that have not been explored to address business needs and revenue options.
• Assist in productionilisation of analytics in the approved FirstRand architecture by translating technical data information into practical business information that addresses identified needs.
• Analyse information requirements, availability and quality of data to feed into management for resolution.
• Contribute to the development of core analytical capabilities or model libraries using advanced statistical, quantitative or econometric techniques and utilize as appropriate.
• Collaborate with numerous departments across the business to aid them in the proper use of data to ensure delivery of desired operational results.
• Participate in relevant project related to the businesses overall analytical needs and opportunities.
• Assist as SME for analytics applying own understanding of the operations of the business product or service.
• Determine the business questions that need be answered and determine appropriate analytics models for utilization.
• Source and do some preparation (20-30%) of relevant data sources for analysis.
• Translate business requirements into tangible models utilizing own understanding of the business value of projects, models and processes.
• Develop and apply analytical algorithms and methods to build, test and implement robust mathematical models and analytical solutions that address business problem, opportunities and improve business outcomes i.e., reduced risk and costs, increased profitability, optimized efficiency and to facilitate strategic decision-making.
• Build models that analyze processes to recommend areas for optimization to achieve cost savings, revenue generation or efficiency improvements for the business.
• Document and audit relevant processes.
• Document and implement models to address specific business requirements.
• Conduct appropriate manipulation and analysis of data to pro-actively identify and meet needs of the business for the purpose of future work and to ensure high information-quality and reliability across the business.
• Deliver within broad parameters.
• Build relationships that allow for the managing of expectations; the sharing of knowledge and diverse insights; and the creation of buy-in.
• Engage in cross-functional relationships to obtain and to provide work support.
• Identify, control and escalate potential risks which may lead to increased costs.
• Manage costs or expenses within approved budget to achieve cost efficiencies.
• Deliver against operational and cost targets.
• Prioritise resource allocation to minimise and reduce wastage.
• Develop, encourage and nurture collaborative relationships across the FRG.
• Assess own performance through seeking timely, and clear feedback and request training where appropriate.

You will be an ideal candidate if you have:

• BSc. Mathematics, Statistics, Data Science, Machine Learning, Computer Science or equivalent
• Honors preferable 
• Data Science Certifications: Certifications from recognized institutions (e.g., IBM, Coursera, Google).
• Specialized Certifications: Certifications in machine learning, artificial intelligence, or big data technologies.
• Minimum 4 years experience with data governance, data quality, and data security best practices.
• Programming Languages: Proficiency in languages such as Python, R, SQL, and Java.
• Statistical Analysis: Strong knowledge of statistical methods, data analysis, and probability.
• Data Manipulation: Experience with data wrangling and cleaning techniques.
• Machine Learning: Understanding of machine learning algorithms and their applications.
• Data Visualization: Skills in using tools like Power BI for visualizing data insights.
• Big Data Technologies: Familiarity with Hadoop, Spark, or similar big data frameworks.
• Database Management: Knowledge of managing and querying databases using SQL or NoSQL systems.

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Job Description

• To implement the tactical plans and business processes required to create, maintain, and enhance data, be responsible for the daily management of a critical data asset within area of responsibility and provide guidance to an allocated data set and actively manage data in order to meet compliance requirements, align data to business priorities, continuously improve data quality, reduce cost of data management, and to increase confidence in data and information integrity.
• Provide input into the definition of data processes and standards.
• Comply with data policies, standards, tools and best practices within the data domain of responsibility.
• Apply domain-level data architecture and data management best practices to area of responsibility.
• Evaluate existing information management landscape and produce report for areas of improvement under supervision and guidance.
• Attend relevant information management working groups and implement requirements accordingly.
• Assist with compliance with internal policy, regulatory requirements and data practice standards.
• Interacts and builds relationships with internal and external stakeholders to ensure compliance with statutory requirements.
• Document business term definitions.
• Create and maintain reference data and master data definitions.
• Ensure reference and master data management processes address uniformity, accuracy, accountability across entities.
• Maintain metadata, data quality rules, Enterprise Data Model (EDM), reference data, records register, where applicable.
• Publish relevant meta data to appropriate users in an organization, and monitor the published data sources for usage, relevance and quality feedback.
• Create and manage business metadata for published data sources to ensure that it is easily discoverable, and meaningful to information workers.
• Respond to data queries e.g. data quality issues as defined by the data quality issue resolution process.
• Co-ordinate data quality issue resolution.
• Perform root cause analysis to resolve data quality issues and implement solutions accordingly.
• Assess the access request and action according to access standards and information owner approvals.
• Monitor user access and usage of the data sets owned or accountable for.
• Define and obtain sign off on measurement for information management disciplines for area of responsibility.
• Provide input into information management metrics.
• Provide input into accurate and reliable reporting together with analyzing trends and data used to improve business decisions.
• Provide input into accurate and reliable reporting in line with business, compliance and governance requirements.
• Accumulate information to review work progress that provides input to reporting, decision making and the identification of improvement opportunities.
• Define information management requirements (e.g. data cleansing and data quality, etc.) and drive the implementation of the requirements within area of responsibility).
• Participate in data related projects and provide required domain level expertise.
• Align data activities to targeted projects for remediation and drive activities accordingly.
• Participate in activities of the Segment implementation roadmap for the information management function.
• Participate in the maturity roadmap for relevant Business Unit aligned to implementation roadmap and provide inputs for roadmap assessment.
• Deliver initiatives that improve the level of information management maturity.
• Apply understanding of data management and business processes and coordinate with relevant stakeholders to solve business problems.
• Serve as a change agent for information management.
• Present information management trends to management and relevant committees for area of responsibility, using internal and external research, including best practice and industry standards.
• Consult in matters of data workflows, master data security, and access rights for area of responsibility.
• Promote best practices and make recommendations to business users that will create efficiencies and ensure data integrity for area of responsibility.
• Provide training or awareness to the business and data community on data management disciplines for area of responsibility.
• Identify possible solutions to support business requirements and partners with stakeholders to develop an optimum solution.

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• The role entails managing the life cycle of a transaction and mitigate associated operational risks. Mitigating operational and reputational risk by ensuring the quality and accuracy of transaction data, ensuring alignment with regulatory requirements, and supporting effective risk management practices. 
• Collaborating with various stakeholders, including traders, risk management teams, and back-office processing functions, to uphold data integrity, streamline processes, and enhance the overall efficiency and accuracy of transaction management.

Are you someone who can:

• Coordinate and participate in any ad hoc project as required.
• Read and understand legal agreements in order to draw up an amortisation schedule and book deals.
• Derive payment amounts from the legals and amortisation schedule.
• Prepare notification to clients and submit payments to team leader for approval.
• Ensure all legal requirements are fulfilled before draw down can occur.
• Ensure all ongoing deal management tasks are performed in line with the legal agreements.
• Settle all instruments on the correct systems.
• Clear reconciliation and exception report items within SLA timeframes.
• Respond to queries from internal and external stakeholders.
• Prepare financial statements, investor reports and other reports required by the regulators.
• Conduct detailed reviews of transaction data to identify discrepancies, verify completeness, and ensure data integrity within transaction systems, thus supporting reliable financial reporting.
• Validate that all transactions are booked accurately and in line with client instructions and regulatory requirements to minimise booking errors and reduce operational risk.
• Identify and flags any inconsistencies or irregularities in transaction data, escalating issues promptly to mitigate financial and reputational risk.
• Attend DCF's for all new deals and comment on Legal Agreements and ensure that the legal agreements can be operationalised.
• Reconcile transaction records across different systems to confirm data consistency and integrity across platforms.
• Communicate transaction data quality insights to internal stakeholders, including traders and risk managers, ensuring transparency and promoting proactive issue resolution.
• Develop and monitor key metrics for data quality within the transaction management function, ensuring consistent and quantifiable improvement.
• Identify and implement process improvements to enhance efficiency, accuracy, and client service in transaction management data quality, contributing to operational excellence.
• Collaborate with internal teams i.e., legal, compliance, credit, and operations to ensure cohesive and efficient transaction management.
• Engage in ongoing training and development activities to build expertise in transaction management.
• Build and sustain collaborative working relationships with relevant peers and stakeholders to achieve productivity synergies.
• Participate in specialist communities of practice and contribute positively to own and organisational knowledge improvement.

You will be an ideal candidate if you have:

• BCom degree in Finance, Economics or similar
• 4-5 Years' experience in a similar environment

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• To play a crucial role in ensuring accurate deal booking and adherence to established processes within the organisation’s Transaction Management function. This role is pivotal in mitigating operational and reputational risk by validating the quality and accuracy of transaction data, ensuring alignment with regulatory requirements, and supporting effective risk management practices. 
• Collaborate with various stakeholders, including traders, risk management teams, and back-office processing functions, to uphold data integrity, streamline processes, and enhance the overall efficiency and accuracy of transaction management.

Are you someone who can:

• Ensure all transactions are booked accurately in line with client instructions and regulatory requirements to minimise booking errors and reduce operational risk.
• Conduct detailed reviews of transaction data to identify discrepancies, verify completeness, and ensure data integrity within transaction systems, thus supporting reliable financial reporting.
• Check that all transactions follow the appropriate processing steps and comply with the organisation’s operational standards, enhancing process efficiency and control.
• Validate that transactions meet applicable regulatory standards (e.g., FICA, Basel III), ensuring the organisation’s compliance and avoiding regulatory penalties.
• Identify and flag any inconsistencies or irregularities in transaction data, escalating issues promptly to mitigate financial and reputational risk.
• Assure that all relevant transaction documentation is complete, accurate, and stored per organisational policies, supporting accurate audit trails.
• Reconcile transaction records across different systems (e.g., trade capture and accounting) to confirm data consistency and integrity across platforms.
• Monitor and test data feeds to ensure automated processes are functioning correctly, improving system reliability and reducing the need for manual intervention.
• Track recurring data quality issues, compiles detailed reports, and collaborates with IT and business teams to implement corrective measures, enhancing system robustness.
• Participate in projects aimed at improving transaction management processes, focusing on automation, accuracy, and efficiency to enhance data quality standards.
• Communicate transaction data quality insights to internal stakeholders, including traders and risk managers, ensuring transparency and promoting proactive issue resolution.
• Become involved in testing system upgrades or new transaction management tools to confirm they meet quality and accuracy standards before deployment.
• Develop and monitor key metrics for data quality within the transaction management function, ensuring consistent and quantifiable improvement.
• Provide training and guidance to junior team members or new hires on data quality standards and best practices, fostering a culture of accuracy and accountability.
• Prepare detailed records and documentation in anticipation of audits, ensuring transparency and accuracy in line with internal and external audit requirements.
• Work effectively with team members across departments, fostering a collaborative environment to support transaction accuracy and data quality objectives.
• Actively promote a risk-aware culture by adhering to risk management policies and contributing to initiatives aimed at mitigating data-related risks.
• Seek opportunities to enhance transaction management processes through innovation, continuously improving data quality and system efficiency.
• Take personal accountability for the quality and accuracy of work outputs, demonstrating attention to detail and commitment to high-quality results.
• Adheres strictly to the organisation’s ethical standards, ensuring that all work complies with legal and regulatory guidelines to protect the bank’s integrity and reputation.

You will be an ideal candidate if you have:

• Minimum: Bachelor’s Degree in Finance, Accounting, Business, or a related field.
• 5 to 8 years’ experience in a similar environment, of which 2 to 3 years ideally at specialist level.
• Familiarity with corporate and investment banking products, systems, and processes, specifically trade capture and reconciliation.
• Proficient in using transaction management and reconciliation systems (e.g., Calypso, Murex, or similar platforms).
• Knowledge of regulatory requirements (e.g., Basel III, FICA) as they relate to transaction accuracy and data integrity.
• Understanding of risk management frameworks and their application within transaction management functions to support risk mitigation efforts.