Quantitative Equity Research Analyst
2 weeks ago
Job Title:
Quantitative Equity Research Analyst
Location:
Hyderabad Onsite
Type:
Full-Time
Reports to:
Founder
About PHNX Securities
PHNX Securities is building disciplined, research-driven trading operations. We focus on clean data, structured analysis, and systematic decision-making. We combine fundamental understanding with quantitative tools to support trading and investment decisions.
About the Role
PHNX Securities is looking for a Quantitative Equity Research Analyst to support our equity research and systematic analysis efforts. In this role, you will work closely with the founder to provide quantitative insights that enhance stock selection, understand risk exposures, and support data-driven decision-making. You will apply statistical techniques, analyze large datasets, and help build tools that improve our research workflow.
The role sits at the intersection of equity research, quantitative modeling, and data analytics, making it ideal for candidates who have knowledge of quant skills.
Key Responsibilities
Quantitative Research & Factor Analysis
• Research & Develop and implement statistical models and algorithms for systematic equity trading.
• Run Backtest
trading Strategies of stocks, futures and options.
• Evaluate strategy performance, perform backtesting, and optimize signal pipelines for equity trading.
• Build and analyze quantitative indicators such as momentum, volatility, beta, spreads, and fundamental factors.
• Conduct empirical research on stock behaviour using historical pricing, volume, and financial data.
• Evaluate sector and company characteristics using statistical tools to identify patterns and signals.
Data Analytics & Insights
• Work with structured market and financial datasets (NSE/BSE/financial statements).
• Clean, prepare, and evaluate datasets using Python/Excel.
• Generate insights for investment decisions, risk assessment, and performance tracking.
Portfolio & Risk Support
• Analyze portfolio exposures using basic risk metrics: correlation, volatility, drawdowns, concentration.
• Support internal reviews by preparing factor breakdowns, return drivers, and performance attribution.
• Help evaluate portfolio construction ideas such as weighting schemes and risk-adjusted positions.
Reporting & Communication
• Prepare clear research notes, dashboards, and summaries for the founder.
• Assist in research discussions and present data-driven viewpoints.
• Support new ideas with charts, evidence, and logical reasoning.
Qualifications & Experience
• Bachelor's or master's degree in Finance, Economics, Statistics, Engineering, or related field.
• 0–2 years of experience in financial analysis, equity research, or quantitative analyst roles.
• Knowledge on Time series Analysis, Stochastic Calculus, Machine Learning
• Strong analytical and numerical skills.
• Working knowledge of Python (NumPy, Pandas), C++.
• Comfort with reading markets, charts, and data trends.
• Understanding of statistics (correlations, regressions, volatility, returns)
• Knowledge of financial statements and valuation concepts is a plus.
• Exposure to trading or market microstructure is an advantage.
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