Specialist: Quantitative Analyst

at  Absa Bank Limited

Empowering Africa’s tomorrow, together…one story at a time.
With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.
Job Summary
The Model Development Quantitative Analyst is responsible for designing, developing, and validating quantitative models used for risk assessment, pricing, and portfolio management. This role requires a strong foundation in mathematics, statistics, and programming, along with the ability to apply advanced quantitative techniques to solve complex financial problems.
Job Description
Key Responsibilities:

Model Design and Development:

• Design and implement quantitative models for credit risk as well as models for pricing and profitability analysis.
• Utilize statistical methods and machine learning techniques to enhance model performance.

Data Analysis:

• Conduct in-depth analysis of large datasets to extract insights and inform model development
• Clean, preprocess, and transform data to ensure accuracy and relevance.

Reporting and Visualization:

• Create visually engaging reports and dashboards to communicate performance results.
• Present findings and recommendations to management and other stakeholders.

Model Validation and Testing:

• Perform rigorous back testing and validation of models to assess their accuracy and reliability.
• Document validation results and provide recommendations for model enhancements.

Collaboration and Communication:

• Work closely with cross-functional teams, including risk management, business and IT, to ensure model alignment with business objectives.
• Present model findings and insights to stakeholders, translating complex concepts into actionable recommendations.

Research and Development:

• Stay current with industry trends, academic research, and advancements in quantitative modeling techniques.
• Contribute to the development of best practices and standards in model development.

Regulatory Compliance:

• Ensure that all models comply with relevant regulatory requirements and internal validation policies.
• Assist in the preparation of documentation for model governance and audits.

Continuous Improvement:

• Monitor scorecard effectiveness and make recommendations for enhancements.
• Stay current with industry best practices and emerging trends in performance measurement.

Documentation:

• Maintain comprehensive documentation of scorecard development processes and methodologies.
• Ensure that all documentation is accessible and up to date.

Qualifications:

• Bachelor’s degree in Statistics, Mathematics, Actuarial Science or a related field; Master’s degree preferred.
• Proven experience in quantitative modeling, financial analysis, or related fields.
• Strong programming skills in languages such as SAS, Python and SQL.
• Proven experience in data analysis
• Strong analytical skills and attention to detail.
• Excellent communication and presentation skills.
• Ability to work independently and collaboratively in a fast-paced environment.

Preferred Skills:

• Experience with machine learning algorithms and statistical modeling techniques.
• Excellent problem-solving skills and ability to work under pressure.
• Knowledge of banking regulations and risk management frameworks.
• Strong analytical skills and attention to detail, with the ability to work in a fast-paced environment.

Education
Bachelor`s Degrees and Advanced Diplomas: Physical, Mathematical, Computer and Life Sciences (Required)
Absa Bank Limited is an equal opportunity, affirmative action employer. In compliance with the Employment Equity Act 55 of 1998, preference will be given to suitable candidates from designated groups whose appointments will contribute towards achievement of equitable demographic representation of our workforce profile and add to the diversity of the Bank.
Absa Bank Limited reserves the right not to make an appointment to the post as advertise

Please refer the Job description for details