Senior Quantitative Analyst

1 week ago


Johannesburg, Gauteng, South Africa Nedbank Full time

REQ: 138557

Closing Date: 27 March 2025

Job Family

Investment Banking

Quantitative

Manage Self: Professional

Job Purpose

Advanced Analytics and Innovation serves as Group Risk's Centre of Excellence (COE) for advanced analytics focusing on unlocking meaningful Management Information (MI), driving efficiencies through automation, and delivering high quality sustainable solutions, servicing the traditionally un-serviced areas while remaining a key contributor to the established modelling areas. The Advanced Analytics and Innovation team also promotes and advocates for efficient change and innovation while ensuring that we change safely.
The incumbent of the role is to apply advanced analytics techniques to drive innovation within the organization, contributing and enhancing the key focus areas of the team objectives. The role includes analysing complex problems, developing fit for purpose solutions and identifying insights to support decision-making and drive business goals.

Job Responsibilities
  • Design and develop superior innovative quantitative solutions to service stakeholder and business requirements across the group encompassing AI/ML initiatives across clusters, Credit Risk, Financial Crime, People Risk (HR analytics), Compliance and Conduct Risk analytics, supporting Group Internal Audit (GIA) through analysis.
  • Drive multiple group wide strategic initiatives relating to AI and ML.
  • Model and methodology advisory and support for all clusters (solution generator, unlock business and client value).
  • Challenge model builds through expert group and model technical forum participation, contribute to the development of differentiated, superior solutions and ensuring best practice.
  • Seek opportunities to improve business processes, models and systems by identifying and recommending effective ways to operate and adding value to Nedbank.
  • Build relationships with stakeholders by networking through targeted and informal interactions and consistent delivery of quality output to build trust.
  • Enhance applicable group frameworks and policies and participate in annual review processes.
  • Increase efficiencies through programming and automating processes.
  • 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.
  • Ensure personal growth and enable effectiveness in performance of roles and responsibilities through formal and informal learning activities and practical experience.
  • Enable upskilling and required corrective action to take place by sharing knowledge and industry trends with team and stakeholders during formal and informal interactions.
  • 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.
  • Contribute to a culture conducive to the achievement of transformational goals by participating in Nedbank Culture building initiatives (e.g. staff surveys etc).
People SpecificationEssential Qualifications- NQF Level
  • Advanced Diplomas/National 1st Degrees
  • Post graduate degree in mathematics/statistics/actuarial science/engineering/data science or a related quantitative discipline.
Preferred Qualification
  • Post graduate degree in mathematics/statistics/actuarial science/engineering/data science or a related quantitative discipline. Master's degree is preferred.
Minimum Experience Level
  • 3-5 years relevant of professional experience in an analytical and technical environment, with a focus on innovation and applying data-driven approaches to solve complex problems.
Technical Exposure

Relevant software and systems knowledge:

  • Programming languages: Proficiency in one or more programming languages commonly used in data science and quantitative analytics.
  • Data analysis and visualisation: Experience with data analysis libraries and frameworks. Familiarity with data visualization tools like Power BI is a plus.
  • Machine learning: Strong understanding of machine learning algorithms and their applications.
  • Extensive understanding in data pipelines with adequate knowledge of data and development/deployment systems and architecture.
  • Automation techniques: Experience in using advanced techniques and tools to automate processes.
Technical / Professional Knowledge
  • Industry trends
  • Microsoft Office
  • Principles of project management
  • Relevant regulatory knowledge
  • Relevant software and systems knowledge
  • Risk management process and frameworks
  • Business writing skills
  • Microsoft Excel
  • Business Acumen
  • Quantitative Skills
  • Analytical thinker and self-starter
  • Commitment
  • Profound risk knowledge
  • Good programming skills and general coding acumen
  • Excellent business writing and presentation skills
  • Strategic and visionary leadership
  • Driving change
  • Relationships and stakeholder management
  • Demonstrated ability to provide insights and guidance at a senior level
  • People skills and being a team player
  • Values-based (especially Integrity, Respect, Accountability, Client-driven, People-centred) and strong ethics.
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