Duties and Responsibilities

Data Analysis and Modelling: Develop, validate, and implement quantitative models for risk management, pricing, and forecasting.
Research and Development: Conduct research to improve existing models and develop new methodologies for quantitative analysis.
Reporting and Communication: Prepare detailed reports and presentations for stakeholders, translating complex data into actionable insights.
Collaboration: Work closely with cross-functional teams, including risk management, finance, and IT, to integrate quantitative models into business processes.
Risk Management: Identify, measure, and mitigate risks through advanced statistical techniques and quantitative analysis.
Regulatory Compliance: Ensure all models and analytical processes comply with regulatory requirements and internal policies.

Qualifications

Education: Minimum BSc Honours in Actuarial Science, Mathematics, Computational Science, or Data Science.
Experience: At least 3 years of experience in quantitative analysis, preferably within the banking or financial services sector.
Technical Skills: Proficiency in statistical software and programming languages such as Python, R, SAS, and SQL.
Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret complex data and deliver clear insights.
Communication Skills: Excellent verbal and written communication skills, with the ability to present findings to non-technical stakeholders.
Teamwork: Ability to work effectively both independently and as part of a team in a fast-paced environment.

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