Bachelor's or Master’s in Computer Science, Data Science, Statistics, Economics, or related field.
Strong Python for data manipulation; solid SQL skills.
Data stack: Pandas, NumPy, Matplotlib, Seaborn; BI tools Power BI/Tableau.
Excellent problem-solving, business sense, and ability to present to non-technical audiences.

🎁 Benefits

Global exposure with banks, insurance, and financial services clients.
Culture that values diversity, inclusion, and growth.
No forced hierarchy; opportunities to advance with the firm.
Continuous learning and career development opportunities.

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