Senior Quantitative Analyst at Nedbank

Job Responsibilities


Build and formally present reports by monitoring business performance within the set risk appetite and through analysis.
Report to; monitor and advise operational areas to manage trends through analysis for ad-hoc requirements.
Manage client expectations by liaising with stakeholders through the model build process as well as the systems and strategy development process.
Increase efficiencies through programming and automating processes.
Enhance business efficiencies and ensure compliance through formal communications and interacting with external bodies.
Challenge model builds from around the cluster through peer review participation and ensuring best practice.
Contribute to the development of differentiated; superior solutions (solution engineering) that meet stakeholder and business requirements through analysis; business requirements gathering and designs validation.
Ensure product and/or solution design is congruent with the required business specifications through meeting stakeholder requirements timeously.
Ensure continuity and record keeping through formal sign-off at forums and by creating documentation.
Ensure data accuracy through data and front-end analysis; pre and post testing of system/strategy changes.
Ensure business process consistency through formal communication; updating and maintaining policies.
Ensure accuracy and feasibility through impact analysis for newly developed products.
Review reporting and ensure accuracy through analysis and providing feedback.
Providing advice to key operational areas ensuring optimal resource allocation and desired results through analysis and communication.
Manage access and change control and ensure compliance by creating change logs and restricting/providing access.
Take corrective action where risk is identified in any processes; models or reporting; through analysis and formal communication.
Support the achievement of the business strategy; objectives and values by reviewing Nedbank and Business Unit Plan and ensuring delivered systems; process; services and solutions are aligned.
Improve personal capability and stay abreast of developments in field of expertise by identifying training courses and career progression for self through input and feedback from managers.
Ensure personal growth and enable effectiveness in performance of roles and responsibilities by ensuring all learning activities are completed; experience practiced and certifications obtained and/or maintained within specified time frames.
Enable skilling and required corrective action to take place by sharing knowledge and industry trends with team and stakeholders during formal and informal interaction.


Minimum Experience Level


3-5 years analytics experience (preferably within banking/credit risk exposure)
Advanced SAS and Python proficiency
Advance SQL expience a must
Model building experience (scorecard, credit risk models)
Exposure to Graph Theory and Graph database
Strong Analytical and Problem Solving Ability


Qualification


Post graduate degree in Engineering, Statistics, Mathematics, Data Science or similar Science/Commerce degrees