Trading Analyst
Quantitative Analyst (Quant) – Career Launch AI Talent Network
Location: New York, NY
Employment Type:
Full-Time · Part-Time · Contract · Temporary · Internship · Casual
Estimated Compensation:
$140,000 – $185,000 total annual compensation (varies by employer)
About This Posting
This job description represents a sample Quantitative Analyst (Quant) position commonly found through the Career Launch AI Talent Network. It is intended to help job seekers understand the responsibilities and qualifications typically associated with early-career quantitative roles across finance, trading, and investment research.
Actual openings may vary depending on employer needs, quantitative focus (e.g., alpha research, risk modeling, execution, pricing, or portfolio optimization), and asset class coverage (e.g., equities, fixed income, FX, commodities, derivatives, crypto).
For more information on the Career Launch AI Talent Network, visit:
https://www.careerlaunch.ai/
Position Overview
Quantitative Analysts apply mathematical, statistical, and computational techniques to analyze financial data, develop models, and support investment, trading, and risk management decisions.
The role blends quantitative research, programming, and financial theory and typically involves close collaboration with traders, portfolio managers, data scientists, and risk teams in fast-paced, data-driven environments.
Key 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 (e.g., NumPy, pandas, SciPy) and statistical modeling techniques
• Strong problem-solving skills and attention to detail
• Ability to communicate complex quantitative concepts clearly to technical and non-technical audiences
• High interest in quantitative research, modeling, and systematic investing
About the Career Launch AI Talent Network
The Career Launch AI Talent Network helps job seekers pursue opportunities similar to this role through:
• Skills-based role matching
• Resume and profile optimization
• Guidance on outreach to quantitative teams and hiring managers
• Interview preparation for quantitative, mathematical, and technical assessments
To learn more or express interest in quantitative finance and quant research roles, visit:
https://www.careerlaunch.ai/
#Workwolf
Apply Now
Apply Now
Location: New York, NY
Employment Type:
Full-Time · Part-Time · Contract · Temporary · Internship · Casual
Estimated Compensation:
$140,000 – $185,000 total annual compensation (varies by employer)
About This Posting
This job description represents a sample Quantitative Analyst (Quant) position commonly found through the Career Launch AI Talent Network. It is intended to help job seekers understand the responsibilities and qualifications typically associated with early-career quantitative roles across finance, trading, and investment research.
Actual openings may vary depending on employer needs, quantitative focus (e.g., alpha research, risk modeling, execution, pricing, or portfolio optimization), and asset class coverage (e.g., equities, fixed income, FX, commodities, derivatives, crypto).
For more information on the Career Launch AI Talent Network, visit:
https://www.careerlaunch.ai/
Position Overview
Quantitative Analysts apply mathematical, statistical, and computational techniques to analyze financial data, develop models, and support investment, trading, and risk management decisions.
The role blends quantitative research, programming, and financial theory and typically involves close collaboration with traders, portfolio managers, data scientists, and risk teams in fast-paced, data-driven environments.
Key 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 (e.g., NumPy, pandas, SciPy) and statistical modeling techniques
• Strong problem-solving skills and attention to detail
• Ability to communicate complex quantitative concepts clearly to technical and non-technical audiences
• High interest in quantitative research, modeling, and systematic investing
About the Career Launch AI Talent Network
The Career Launch AI Talent Network helps job seekers pursue opportunities similar to this role through:
• Skills-based role matching
• Resume and profile optimization
• Guidance on outreach to quantitative teams and hiring managers
• Interview preparation for quantitative, mathematical, and technical assessments
To learn more or express interest in quantitative finance and quant research roles, visit:
https://www.careerlaunch.ai/
#Workwolf
Apply Now
Apply Now