Job Description
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)
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:
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 ResponsibilitiesDevelop, 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
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
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:
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