Hi, I'm Raunak Jain
Finance & Quant Research Professional specializing in algorithmic trading and equity research. Currently pursuing BTech in Mechanical Engineering at NIT Warangal.
Research Consultant at WorldQuant with experience in designing equity alphas using statistical and machine-learning techniques. Passionate about financial markets, quantitative research, and building data-driven investment strategies.
Education
National Institute of Technology, Warangal
Bachelor of Technology in Mechanical Engineering
Aug 2024 - May 2028
- • Ranked 19,444 in JEE Main and ≈24,000 in JEE Advanced (2024 cohort)
- • Awarded 25% merit scholarship at ALLEN Career Institute for JEE preparation
Experience & Leadership
Research Consultant (International Quant Championship)
WorldQuant
Remote
Jan 2025 - Present
- • Qualified Stage 1 (rank 410/≈80,000 teams) and currently ranked 180 out of 8,000
- • Designed equity alphas using statistical and machine-learning techniques in Q_Research
Joint Secretary, FinWiz (Finance Club)
NIT Warangal
Warangal, IN
Oct 2024 - Present
- • Hosted live interviews with top financial executives—including the COO of NSE Clearing and the Equity Manager of UTI Mutual Fund—during large-scale finance forums
- • Led weekly workshops on valuation, options Greeks, and algorithmic trading for ∼150 members
- • Coordinated "FinFest '24," attracting 600+ participants from 30 colleges; managed ₹600K sponsorship
Executive Member, Mechanical Engineering Association
NIT Warangal
Warangal, IN
Oct 2024 - Present
- • Hosted three guest lectures; secured industry speakers from GE Aerospace
Event & Content Volunteer
Zerodha Varsity
Remote
Feb 2025
- • Assisted in content proofreading and logistics for the "Varsity Trading Carnival" (500+ attendees)
Selected Projects & Competitions
Factor-Rotation Alpha Suite
Python, NumPy, PyPortfolioOpt
Jan 2025 - Present
- • Built pipeline generating 2,000+ orthogonal equity factors; achieved Sharpe 1.7 on S&P 500 (2018–2024 back-test)
- • Automated daily data ingestion from Quandl and NSE APIs using Airflow on GCP Compute Engine
Skills & Certifications
Technical Skills
Programming & Tools
Python, Excel/VBA, SQL, Power BI, Tableau
Finance
Equity research, portfolio construction, derivatives (options, futures), time-series analysis
Other
LaTeX, Leadership & event management
Certifications
- • CFA Level I Candidate — Exam scheduled Nov. 2026
- • Coursera: Financial Markets (Yale), Excel Skills for Business (Macquarie University)
- • Microsoft: Power BI Data Analyst (PL-300)
Extracurricular & Interests
- • Active equity and mutual-fund investor; author of occasional market commentary on Substack
- • Long-distance cycling (completed 200 km brevet)