- Education: Master’s degree in Finance, Economics, Mathematics, Statistics, or a related field.
- Technical Skills: Familiar with Python with experience in libraries such as Pandas, NumPy, SciPy, and statsmodels for data manipulation, regression analysis, and time series forecasting. Experience with Iran financial databases (codal,Tsetmc,… ) and strong Excel skills are highly desirable.
- Financial Knowledge: Solid understanding of financial markets, equity valuation methods (DCF, multiples, etc.)
- Analytical Skills: Quantitative and analytical skills with the ability to interpret financial data and model results.
- Attention to Detail: High level of accuracy and precision in financial modeling, data analysis, and reporting.
- Communication: Excellent written and verbal communication skills, with the ability to present complex financial information clearly and effectively.
- Team Player: Ability to work collaboratively in a team environment and contribute to collective goals.
** 0-2 years of experience in financial modeling, stock valuation, or a related field. Relevant internships or academic projects are a plus.