How to invest?

Achieve your

investment goals with

Axis Intellect

Get access to investment portfolios created by research experts 

Get to know

Neil Jha

Neil Jha

Head – Quantitative Research

Neil Jha is the Head of Quantitative Research at Axis Direct with over 6 years of experience in portfolio management and systematic trading. In his previous leadership role as Head of Quant Products at Motilal Oswal Financial Services, and his tenure at Stelios Asset Management (a global long-short algorithmic hedge fund), Neil specialized in developing Equity Long-Only factor models, trend-following algorithms, and market-neutral derivative strategies. His core expertise lies in alpha generation, focusing on identifying market inefficiencies through robust backtesting and algorithmic model development.

Neil has been recognized for his leadership in the field, receiving the "Emerging Leader" award at Axcel 2023 and the "Best Debutant" award during his early career. He holds an MSc in Finance from NMIMS and a CQF (Certificate in Quantitative Finance), and is currently pursuing an Executive PhD from NMIMS to further his research in advanced quantitative methods.

Beyond the trading desk, Neil is the author of "Quant Trading Essentials" and has served as a Member of the Board of Studies at NMIMS ASM SOC, where he helps shape academic frameworks. He also serves as a Visiting Professor in Econometrics at the BSE Institute, simplifying complex statistical modeling for future finance professionals.

Neil Jha

Head – Quantitative Research

Neil Jha is the Head of Quantitative Research at Axis Direct with over 6 years of experience in portfolio management and systematic trading. In his previous leadership role as Head of Quant Products at Motilal Oswal Financial Services, and his tenure at Stelios Asset Management (a global long-short algorithmic hedge fund), Neil specialized in developing Equity Long-Only factor models, trend-following algorithms, and market-neutral derivative strategies. His core expertise lies in alpha generation, focusing on identifying market inefficiencies through robust backtesting and algorithmic model development.

Neil has been recognized for his leadership in the field, receiving the "Emerging Leader" award at Axcel 2023 and the "Best Debutant" award during his early career. He holds an MSc in Finance from NMIMS and a CQF (Certificate in Quantitative Finance), and is currently pursuing an Executive PhD from NMIMS to further his research in advanced quantitative methods.

Beyond the trading desk, Neil is the author of "Quant Trading Essentials" and has served as a Member of the Board of Studies at NMIMS ASM SOC, where he helps shape academic frameworks. He also serves as a Visiting Professor in Econometrics at the BSE Institute, simplifying complex statistical modeling for future finance professionals.

Read More

Years of experience

6

SEBI Registered

INZ000161633

All your questions answered

Frequently asked questions

Long term quarterly review:, Balanced AI, Aggressive AI, Short term trading basket:, Axis Intellect Intraweek,
Quant based cutting-edge research stock ideas.
A smallcase is a curated basket of stocks/ETFs* that reflects a certain objective (ideas, themes, strategies), backed by the research of the smallcase manager. You can invest in a smallcase in 2 clicks., *ETFs (Exchange Traded Funds) are baskets of securities that track an underlying index (Nifty, Gold, etc) and can be bought and sold on the exchange.
The smallcase manager decides who can invest in the smallcases created by them and can create two types of smallcases :, Exclusive smallcases : smallcases which require a subscription to the smallcase manager's Advisory in order to invest in the smallcase. You can subscribe to a smallcase directly from the smallcase profile through the subscription form., Public smallcases : smallcases in which anyone who has an account with our partner brokers can invest. You can invest in this smallcase by clicking on “Buy smallcase” in the smallcase profile and logging with your broker credentials.,
When you buy a smallcase, the index value is set to 100 on the buy day - this helps you track the total returns without having to monitor each stock. You can also use the performance metrics to get a more detailed understanding of your smallcase.
There are no lock-in periods, so you may sell your smallcases anytime. As a concept however, smallcases work best when used for long-term investing.
More questions? Check out help section