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Sreeram VarmaSV
Open to opportunities

Sreeram Varma

@sreeramvarma

I build quantitative trading signals and Python automation for Indian and global equity markets.

India
Message

What I'm looking for

I'm looking for opportunities in trading, quantitative research, or fintech where I can apply market analysis, strategy backtesting, and Python automation to real financial-market problems.

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

WorldQuant logoWO
Current

Research Consultant

Oct 2024 - Present (1 year 10 months)

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.

AH

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

DB

Delhi Public School South, Bengaluru

Senior Secondary (Class XII), General Studies

Completed Senior Secondary (Class XII) through NIOS in 2024.

SB

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

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