Quantitative Finance Jobs in India
Derivatives pricing, algorithmic trading, and systematic research. · 71 active positions
Last updated
About Quantitative Finance careers in India
Quantitative Finance in India is concentrated at D.E. Shaw India, Arcesium, WorldQuant, Goldman Sachs, and Morgan Stanley — mostly in Bangalore and Mumbai. The field covers derivatives pricing, stochastic modelling, algorithmic trading, and systematic research. Advanced degrees in mathematics, physics, or computer science are standard. Python and C++ are the default languages; compensation for senior researchers and PMs can cross ₹1 Cr annually.
Active Jobs
71
Salary Range
₹15–35 LPA
Typical mid-level
Top City
Mumbai
22 openings
Top Employer
Morningstar
Top Quantitative Finance employers in India
Browse Quantitative Finance jobs by city
Latest Quantitative Finance jobs in India
View all 71Analyst, Quantitative Research
Intercontinental Exchange Holdings, Inc.Hyderabad, Telangana, India
Lead Quantitative Analyst, New Product Development
MorningstarNavi Mumbai, Maharashtra, India · 4+ yrs
Quantitative Risk Mgmt Analyst - Financial Risk Developer
TIAAMumbai, Maharashtra
Quantitative Analyst and Developer
Early CareerMumbai, Maharashtra, India
Analyst, Quantitative Research
Intercontinental Exchange Holdings, Inc.Hyderabad, Telangana, India
Senior Quantitative Strategist Analyst
Deutsche BankMumbai, Maharashtra, India
Associate Director of Quantitative Research, Index Management
MorningstarMumbai, Maharashtra
Quantitative Strategist Senior Analyst, AS
Deutsche BankMumbai, Maharashtra
Qualifications & skills for Quantitative Finance in India
- ✓Stochastic calculus, linear algebra, probability
- ✓Python (numpy, pandas); C++ for latency-sensitive roles
- ✓Derivatives pricing — options, futures, swaps
- ✓Machine learning for systematic research tracks
- ✓MSc or PhD in math, physics, statistics, or CS
Typical entry: 0–2 years with MSc/PhD; internship strongly preferred