Quantitative Analyst

Rapidtrade; New York (NY); On-site; USD 150,000 - 250,000; Full time

Job summary

Rapidtrade in New York, NY seeks a Quantitative Analyst to research and develop trading strategies for our AI-powered platform. You'll combine statistical analysis with financial theory to identify alpha-generating opportunities.

You'll collaborate with ML engineers to productionize models, backtest strategies, analyze market data, and optimize performance across live deployments. This role requires 3+ years of quantitative research or trading experience, a strong background in statistics or

Qualifications

• 3+ years of quantitative research or trading experience.
• Strong background in statistics, mathematics, or physics.
• Proficiency in Python and data analysis libraries (pandas, numpy).

Responsibilities

• Research and develop quantitative trading strategies.
• Analyze market data to identify patterns and opportunities.
• Build statistical models for risk assessment and portfolio optimization.
• Backtest strategies and evaluate their performance.
• Collaborate with ML engineers to productionize models.
• Monitor live strategies and optimize their performance.

Skills

Quantitative analysis

Statistics

Python programming

Tools

Python

pandas

numpy

Backtesting frameworks

Job description

Trading New York, NY Full-time $150,000 - $250,000

About the Role

We're seeking a Quantitative Analyst to research and develop trading strategies for our AI-powered platform. You'll combine statistical analysis with financial theory to identify alpha-generating opportunities.

What You'll Do

• Research and develop quantitative trading strategies
• Analyze market data to identify patterns and opportunities
• Build statistical models for risk assessment and portfolio optimization
• Backtest strategies and evaluate their performance
• Collaborate with ML engineers to productionize models
• Monitor live strategies and optimize their performance

What We're Looking For

• 3+ years of quantitative research or trading experience
• Strong background in statistics, mathematics, or physics
• Proficiency in Python and data analysis libraries (pandas, numpy)
• Experience with backtesting frameworks and simulation
• Understanding of market microstructure and trading mechanics

Nice to Have

• Experience with cryptocurrency markets
• Knowledge of options pricing and derivatives
• Experience with alternative data sources

Don't see a perfect fit? We're always looking for talented people.