Sreeram Varma
@sreeramvarma
I build quantitative trading signals and Python automation for Indian and global equity markets.
What I'm looking for
At WorldQuant, I design, backtest, and submit quantitative alphas on the BRAIN platform to identify pricing inefficiencies in global equity markets.
I've also built an end-to-end algorithmic trading system using Python and Zerodha Kite Connect API, from fetching live and historical NSE data to selecting strategies and placing automated orders within fixed risk parameters. My work centres on market data analysis, rule-based strategy design, backtesting, returns, drawdown, and out-of-sample robustness.
I'm motivated by genuine market curiosity and analytical rigour, and I'm ready to contribute across trading, quantitative research, and fintech.
Experience
Work history, roles, and key accomplishments
Design, backtest, and submit quantitative alphas on WorldQuant's BRAIN platform to capture pricing inefficiencies in global equity markets. Analyse large historical market datasets to build and refine trading signals, evaluating them on returns, drawdown, and out-of-sample robustness.
Marketing & Sales Intern
AyurVAID Hospitals
Apr 2023 - May 2023 (1 month)
Created website and social-media content and ran Google Ads and YouTube optimisation campaigns, building a working foundation in client communication and outreach.
Education
Degrees, certifications, and relevant coursework
Delhi Public School South, Bengaluru
Senior Secondary (Class XII), General Studies
Completed Senior Secondary (Class XII) through NIOS in 2024.
Sri Kumaran Children's Home, Bengaluru
Secondary (Class X), General Studies
Grade: 94%
Completed Secondary (Class X) through CBSE with 94% in 2022.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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