Qualifications:
- Must be a graduate of Bachelor’s or Master’s degree in Mathematics, Statistics, Data Analytics, Finance, or a related field.
- Proficiency in statistical analysis and data visualization tools (e.g., R, Python, Tableau, SQL). Experience with risk assessment methodologies and frameworks. Strong analytical and problem-solving skills with a keen attention to detail. Excellent communication skills, both written and verbal, to convey complex concepts clearly.
- 6 months to 1 year experience with experience related to Mathematics, Statistics and Data Analytics. Familiarity with risk management frameworks, regulations, and industry best practices is preferred but not required.
- Training in Probability and Statistics, Financial Mathematics, Econometrics, Data Science, Risk Management, and Financial Modelling.
- Proficiency in software such as R, SAS, or SPSS for statistical analysis. Knowledge of programming languages like Python or SQL for data manipulation and analysis.
- CFA (Chartered Financial Analyst) license is preferred but not required.
- Fresh graduates are welcome to apply.