Overview
This is a sample Quantitative Analyst (Quant) position commonly found in early-career quantitative roles within finance, trading, and investment research. The role involves applying mathematical, statistical, and computational techniques to analyze financial data, develop models, and support investment, trading, and risk management decisions. Actual job openings may vary depending on employer needs, quantitative focus, and asset class coverage.
Location: New York, NY
Employment Type: Full-Time
Estimated Compensation: $140,000 – $185,000 total annual compensation (varies by employer)
Responsibilities
- Develop, test, and implement quantitative models for pricing, trading strategies, or risk management
- Analyze large financial datasets to identify patterns, signals, and inefficiencies
- Conduct statistical analysis, backtesting, and performance evaluation of models and strategies
- Build and maintain research tools, analytics pipelines, and model infrastructure
- Monitor model performance and recalibrate parameters as market conditions change
- Support portfolio construction, optimization, and asset allocation analysis
- Assist with real-time risk monitoring, scenario analysis, and stress testing
- Prepare research documentation, model summaries, and presentations for internal stakeholders
Preferred Qualifications
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Physics, Engineering, Finance, or a related quantitative discipline
- Strong foundation in probability, statistics, linear algebra, and optimization
- Proficiency in Python; experience with R, C++, Java, or MATLAB is a plus
- Familiarity with financial markets, instruments, and quantitative finance concepts
- Experience with data analysis libraries such as NumPy, pandas, and SciPy, and statistical modeling techniques
- Strong problem-solving skills and attention to detail
- Ability to communicate complex quantitative concepts clearly to both technical and non-technical audiences
- High interest in quantitative research, modeling, and systematic investing
Location
New York, NY