Neetika Bansal — Associate Consultant
I am a quantitative finance professional with over 12 years of experience in the fields of automated trading systems, trading analytics, market microstructure, risk management, and data science. I have a master's degree in mathematical finance from Columbia University and a bachelor's degree from IIT Delhi. Currently, I am an adjunct faculty at the Indian Institute of Quantitative Finance (IIQF), where I teach courses on machine learning algorithms, algorithmic trading, and data science. I am also an AVP at State Street Global Advisors (SSGA), where I lead a team of quants and developers to design, implement, and optimize trading strategies and models. In addition, I have been an external consultant for Deutsche Bank since 2019, providing insights and solutions on various projects related to market microstructure, liquidity, and execution. My mission is to leverage my expertise and skills to create value and innovation in the quantitative finance domain.
Stackforce AI infers this person is a Quantitative Finance expert with a focus on automated trading and data science.
Location: Mumbai, Maharashtra, India
Experience: 14 yrs 3 mos
Skills
- Machine Learning
- Quantitative Analytics
Career Highlights
- Over 12 years in quantitative finance and automated trading.
- Adjunct faculty teaching machine learning and data science.
- Consulted for Deutsche Bank on market microstructure projects.
Work Experience
IIQF
Adjunct Faculty (3 yrs 2 mos)
State Street Global Advisors
AVP (1 yr)
Deutsche Bank
External Consultant (2 yrs)
IndusEuro Consulting Services GmbH
Senior Banking Consultant (3 yrs)
Citi
AVP (2 yrs)
State Street Syntel Services Private Limited (Financial Kpo)
Manager/Data Scientist (2 yrs)
Credit Suisse
Quantitative Analyst (2 yrs)
Evalueserve
Senior Research Associate (1 yr)
Education
Masters at Columbia University
B.Tech at Indian Institute of Technology, Delhi