Senior Quantitative Analyst - Johannesburg, South Africa - Nedbank

Description

Job Requisition Details

REQ#133668

Location: Johannesburg, Gauteng

Closing Date: 14 May 2024

Talent Acquisition: Bongiwe Mchunu

Job Family

Career Stream

Quantitative - Credit Solutions & Innovation

Leadership Pipeline

Job Purpose

Responsible for applying advanced data science techniques to drive credit innovation within the organization. They will work on analysing complex datasets, developing predictive models, and identifying insights to support decision-making and drive business growth. Segment: Role will support activities in the consumer banking segment focused on credit solutions & innovation.

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.

Essential Qualifications - NQF Level

• Advanced Diplomas/National 1st Degrees
• Matric / Grade 12 / National Senior Certificate

Preferred Qualification

• Postgraduate/ Bachelor's Degree in a relevant field such as Computer Science/ Statistics/Mathematics/ CFA/ FRM/CQF, or a related Quantitative discipline

Minimum Experience Level

• 5 years of professional experience as a data scientist or in a similar role, with a focus on innovation and applying data-driven approaches to solve complex problems
• 3 - 5 years relevant experience in an analytical environment

Technical Skills Required

• Programming languages: Proficiency in at least one programming language commonly used in data science, such as Python or R. Experience with SQL for data extraction and manipulation is also desired.
• Data analysis and visualization: Experience with data analysis libraries and frameworks such as Pandas, NumPy, and Matplotlib. Familiarity with data visualization tools like Power BI is a plus.
• Machine learning: Strong understanding of machine learning algorithms and their applications. Experience with libraries such as scikit-learn or TensorFlow for building and evaluating models.
• Data manipulation and cleaning: Proficiency in data cleaning techniques, data pre-processing, and feature engineering. Experience with tools like for data manipulation is preferred.
• Strong analytical skills: Demonstrated ability to analyse large datasets, identify patterns, and draw meaningful conclusions. Experience with statistical analysis, data mining, and machine learning techniques is essential.
• Problem-solving mindset: Proven track record of identifying innovative solutions to business challenges using data-driven approaches. Ability to think critically, creatively, and outside the box.
• Communication skills: Excellent verbal and written communication skills to effectively present findings and insights to both technical and non-technical stakeholders. Ability to explain complex concepts in a clear and concise manner.
• API development: Proficiency in coding APIs using Python. Ability to design, develop, and maintain RESTful or GRPC APIs for data integration and automation purposes.
• Data governance: Knowledge of data governance principles and best practices, ensuring data quality, integrity, and compliance throughout the credit process automation.
• Collaboration skills: Ability to work collaboratively with cross-functional teams, such as credit analysts, business stakeholders, and IT professionals, to gather requirements and implement automated solutions effectively.
• Bonus: Automation techniques: Experience in using advanced techniques and tools to automate processes.
• Bonus: Credit process knowledge: Familiarity with credit assessment and evaluation processes in a business context. Understanding of credit risk modeling, credit scoring, and credit underwriting practices.

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

Behavioural Competencies

• Applied Learning
• Coaching
• Communication
• Collaborating
• Decision Making
• Continuous Improvement
• Quality Orientation
• Technical/Professional Knowledge and Skills

Please contact the Nedbank Recruiting Team at