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Senior Quantitative Analyst
6 days ago
REQ#134566
Location: Johannesburg, South Africa
Closing Date: 03 July 2024
Talent Acquisition: Bongiwe Mchunu
Job Family
Investment Banking
Department
Quantitative - Relationship Analytics
Leadership Pipeline
Manage Self: Professional
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
- 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.
- Matric / Grade 12 / National Senior Certificate
- Advanced Diplomas/National 1st Degrees
- Bachelor's degree in Mathematics/ Computer Science/ Engineering/ Econometrics/ Statistics/ Actuarial Science or any equivalent qualification
- 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
- 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
- Applied Learning
- Coaching
- Communication
- Collaborating
- Decision Making
- Continuous Improvement
- Quality Orientation
- Technical/Professional Knowledge and Skills
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