Posted:2 days ago|
Platform:
On-site
Full Time
● Research & Develop and implement statistical models and algorithms for systematic equity trading.
● Evaluate strategy performance, perform back testing, and optimize signal pipelines.
● Work with key stakeholders to productionize new strategies & trading ideas
● Apply machine learning techniques to enhance predictive power. (auto-regression, auto-correlation and Principal Component Analysis)
● Exploring trading ideas by analyzing market data, market microstructure and alternate data for patterns ● Build and maintain Python-based back testing frameworks for price, volume, and fundamental data.
● Conduct portfolio-level simulations using mean-variance optimization, risk parity, and volatility targeting.
● Monitor live performance, analyze deviations from back tested expectations, and recalibrate models.
● Automate recurring research tasks — data ingestion, signal generation, and performance tracking.
● A Bachelors, Masters or PhD degree in Mathematics, Statistics, Computer Science or equivalent STEM degree
● 1–2 years of experience in quantitative research, algorithmic trading, quantitative developer
● Strong proficiency in Python, R, Java and C++.
● Solid understanding of statistical modeling, time-series forecasting, and machine learning.
● Hands-on experience with financial data APIs (Yahoo Finance, NSE data or broker APIs).
● Proficiency in SQL or similar database tools.
● Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data
● Solid understanding of derivatives markets, options pricing, and volatility dynamics.
Screening question
EQTY LYFE
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