Job Description
2–6 years of experience in quantitative finance, index quant, financial data analytics, or a related quant role
Deep understanding of index construction principles — weighting, rebalancing, divisor mechanics, and methodology governance
Solid grasp of corporate actions and how they propagate through index and portfolio calculations
Experience with major financial data vendors: Bloomberg, LSEG/Refinitiv, FactSet, or equivalent
Advanced Excel modelling skills: multi-sheet workbooks, dynamic named ranges, structured financial calculations
Strong analytical thinking, attention to detail, and good communication skills.
Python skills would be added advantage.
Bachelor’s or master’s degree in engineering / business administration / Statistics / Financial Engineering / CFA, or a related quantitative field
Deep understanding of index construction principles — weighting, rebalancing, divisor mechanics, and methodology governance
Solid grasp of corporate actions and how they propagate through index and portfolio calculations
Experience with major financial data vendors: Bloomberg, LSEG/Refinitiv, FactSet, or equivalent
Advanced Excel modelling skills: multi-sheet workbooks, dynamic named ranges, structured financial calculations
Strong analytical thinking, attention to detail, and good communication skills.
Python skills would be added advantage.
Bachelor’s or master’s degree in engineering / business administration / Statistics / Financial Engineering / CFA, or a related quantitative field