Quantitative Analyst

SUMMARY:
Are you passionate about solving complex problems with data? Do you thrive in fast-paced environments where your analytical insights can drive meaningful business decisions? We are looking for a Quantitative Analyst to join a dynamic team that supports innovation, performance, and strategic decision-making through advanced data analytics and modelling.

POSITION INFO:
Quantitative Analyst
Industry: Financial Services / Analytics

Key Responsibilities:

• Develop, implement, and maintain predictive and statistical models to support business objectives
• Leverage large datasets to uncover insights and optimise decision-making in areas such as risk, pricing, and customer engagement
• Collaborate with cross-functional teams to define data requirements and transform business problems into data-driven solutions
• Analyse data trends and assess model performance using techniques such as regression analysis, machine learning, and time series forecasting
• Support the development of scorecards, forecasting models, and optimisation algorithms
• Present complex findings in a clear and actionable manner to both technical and non-technical stakeholders

• Bachelor’s Degree or higher in Mathematics, Statistics, Actuarial Science, Data Science, or a related field
• 2–4 years of experience in a quantitative analytics or data modelling role
• Strong programming skills in Python, R, SQL, or similar languages
• Experience with data visualisation tools such as Power BI or Tableau
• Solid understanding of statistical methods, probability theory, and machine learning algorithms
• Strong business acumen and ability to translate technical findings into practical insights

• Exposure to credit risk, collections, or financial modelling
• Experience working with cloud-based data platforms (e.g., Azure, and AWS)
• Familiarity with optimisation techniques and simulation modelling

• Be part of a high-performing analytics team driving real change
• Exposure to complex data environments and impactful projects
• Opportunities for professional growth and continuous learning
• A supportive and innovative culture that values data-driven thinking