
Financial Modelling Expert
15 hours ago
The role involves developing and implementing statistical models for risk forecasting, ensuring accuracy and reliability in data analysis. This position is ideal for those who are analytical thinkers, with strong problem-solving skills and a passion for driving business growth through data-driven insights.
Key Responsibilities:
- Design and develop complex statistical models to forecast and manage risk
- Analyze and interpret large datasets, identifying trends and patterns that inform strategic decision-making
- Develop and maintain accurate and efficient reporting procedures, providing high-quality results under tight deadlines
Requirements:
- Master's or Ph.D. degree in a quantitative field (e.g., mathematics, statistics, engineering)
- Minimum 3+ years of experience in advanced analytics, including hands-on work with statistical modeling and data mining tools
- Proficiency in programming languages such as R, Python, or SAS, with expertise in SQL and relational databases
Preferred Qualifications:
- Experience working with regulatory modeling frameworks, particularly IFRS9/CECL/CCAR
Industry Type: Financial Services
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Business Intelligence & Analytics
Education
UG: Any Graduate
PG: Any Postgraduate
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