Job Openings at Rand Merchant Bank

Purpose:

To perform the role of a Murex Specialist across the Markets, Banking and Treasury Business Units. Murex Analyst need to understand the full lifecycle of a trade from Pricing to Settlement and the impact on Market Risk, Finance, Credit Risk and Collateral. Continuous development of Murex Platform is done by enhancing current functionality and building out for new business requirements.

Responsibilities:

• Configure/Develop Solutions in the Murex Platform to meet business needs
• Participate in analytical queries such as Risk, PnL and Pricing as well as technical queries linked to Workflows, Integrations and Reporting
• Act speedily to resolve problems, queries and complaints.
• Collaborate with Murex Vendor on suitable short- and long-term solutions for incidents and new requirements
• Suggest changes in executing work processes to better drive value and benefits for the business.
• Analyse existing processes and facilitate improvements with stakeholders.
• Coordinate and participate in the test effort to ensure that the delivered solution meets agreed business requirements and functional/process specifications.
• Compile training material and provide end-user training to stakeholders where relevant.
• Build and maintain professional working relationships with all stakeholders, displaying excellent abilities to initiate dialogue, listen, advise, influence and negotiate to achieve win-win outcomes.
• Initiate meetings with key stakeholders to track progress, manage expectations and ensure stakeholders’ requirements are delivered.
• Preserves relationships despite airing conflicting views and seeks mutual gains when addressing conflicts.

  Self-management:

• Demonstrates pride in the organisation’s brand, services and products by consistently delivering on the brands promise
• Plan and manage own workflow, anticipating obstacles, juggling priorities and following through on objectives within agreed time-frames and according to quality standards
• Stay relevant and up to date with legislations and new development
• Maintain a positive attitude and respond openly to feedback
• Handle stress in ways that do not negatively impact others
• Take ownership of personal career development, leveraging formal and informal opportunities
• Act in an ethical, transparent and morally defensible manner
• Adapt communication styles to meet the needs of different audiences.

Teamwork:

• Continually share, debate and communicate learning’s
• Explore possibilities for different solutions
• Flag and debate issues constructively
• Contribute to a friendly, co-operative climate in working with others to achieve collective goals
• Be sensitive to others’ feelings, needs, values, views and attitudes and be courteous and diplomatic when dealing with difficulties and problems others may be experiencing (EQ)

Qualifications and Experience:

• A Bachelor’s degree in Computer Science, Mathematics, Engineering or related discipline is required, or equivalent work experience
• Superior organizational and time management skills.
• Excellent written and verbal communication skills
• Experience in Murex and/or MX TEST
• Understanding of the Capital Markets Products and Business environment

Competencies:

• Analysis and attention to detail
• Conceptual/Big picture thinking
• Problem solving
• Customer Service Orientation
• Influencing & impact (incl negotiation)
• Knowledge sharing
• Process and technological competence
• Developing people
• Leadership commitment
• Drive for results
• Verbal and written communication
• Learning agility

go to method of application »

Responsibilities:

• Demonstrate an integrated knowledge of the company value proposition and value chain (clients, products and competitors) by presenting clear and best practice business cases for Bank data initiatives in response to changing business situations and requirements.
• Understand and evaluate environmental inter-dependencies, impacts and opportunities (national and global) on the implementation of data objectives.
• Consider and integrate relevant macro factors into data analytics plans and make adjustments and improvements to data capabilities.
• Participate in data architecture and engineering decision-making to support downstream analytics.
• Develop and apply statistical models to collect, organise and summarise data to enable insights/ trends for business stakeholders.
• Perform ad hoc exploratory statistics and data mining tasks on diverse datasets from small scale to big data.
• Enable best practice capabilities around data analytics to enable knowledge sharing across the stakeholder community.
• Provide users with collaboration analytic tools to enable business insights and timeous problem solving.
• Develop and validate predictive modelling and machine learning approaches that enable stakeholders to pre-emptively determine best-fit business tactics. This includes investigating data visualisation and summarisation techniques for conveying key data.
• Provide complex risk analysis to provide management with business insights and recommendations e.g. strategies for growth, debt management, better risk/return relationships and portfolio performance.
• Partner with Business teams to support strategic business choices and investment decisions. This includes communicating opportunities, financial and process trade-offs from advanced statistical methods.
• Apply project management methodology to effectively manage numerous data projects that cut across functional areas. This includes the implementation of change management practices to ensure that any changes are understood and project objectives achieved.

Qualifications and Experience:

• Post graduate degree in mathematics, computer science, statistics or any other quantitative discipline
• Data Science (post graduate degree) (Preferred Qualification (additional to minimum)

Technical Knowledge/ skills and experience

• Knowledge of Banking environment and products would be advantageous
• in depth knowledge and application of:
  • Probability and statistics
  • Advanced analytical languages
  • Big data tools
  • Machine learning techniques
  • Prior experience of data analytics and model development in banking context (preferred)

Competencies:

• Analysis and Attention to Detail
• Big Picture Thinking
• Drive and Results Orientation
• Problem Solving
• Customer Service Orientation
• Building Relationships