Senior Quantitative Analyst

Job Requisition Details

REQ#134566

Location: Johannesburg, South Africa 

Closing Date: 03 July 2024

Talent Acquisition: Bongiwe Mchunu

Job Family

Department

Quantitative - Relationship Analytics 

Leadership Pipeline

FAIS Affected

Job Purpose

To develop and maintain best practice models and assessment strategies in line with regulations (where applicable) in order to facilitate world class risk management and/or attainment of strategic objectives.

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 a culture conducive to the achievement of transformation goals by participating in Nedbank Culture building initiatives (e.g. staff surveys etc).
• Research and make recommendations for corporate citizenship initiatives in area of influence
• Participate and support corporate responsibility initiatives for the achievement of business strategy (e.g.. Green Strategy).
• Seek opportunities to improve business processes; models and systems by identifying and recommending effective ways to operate and adding value to Nedbank.
• 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.
• 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

Job Responsibilities Continue

• Quantitative abilities such as machine learning, statistics, and business analytics
• Advanced skills in Python or R are necessary, as well as familiarity with SQL/NoSQL
• Experience working with ML toolkits such as Pandas, Scikit-learn, R, SAS, or other relevant software
• Experience working with large data sets
• Furthermore, strong written and verbal communication skills are essential, to work effectively in cross-functional teams.

Essential Qualifications - NQF Level

Preferred Qualification

• Bachelor's degree in Mathematics/ Computer Science/ Engineering/ Econometrics/ Statistics/ Actuarial Science or any equivalent qualification

Minimum Experience Level

• 6 years of experience as a Quantitative or equivalent Analyst in a Financial Institution
•  Expertise in Data Science, particularly in ML model development, entrenchment analytics, and cross-sell client retention strategies
•  Proven experience in managing Analysts or a team of Analysts, managing projects, and the ability to mentor peers or juniors or oversee a function within an analytics environment
• Capable of applying statistical methods and validating models and have strong analytical and problem-solving skills
• Proficient in analysing large datasets and identifying critical insights
• Understanding financial products or customer behavior within the Banking industry is also required

Technical / Professional Knowledge

Behavioural Competencies