Senior Structuring Analyst - Remote

Job DescriptionJob DescriptionQuantitative Analyst (Quant) – Career Launch AI Talent NetworkLocation: New York, NYEmployment Type:
Full-Time · Part-Time · Contract · Temporary · Internship · CasualEstimated Compensation:
$140,000 – $185,000 total annual compensation (varies by employer)About This PostingThis 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:
OverviewQuantitative 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 managementAnalyze large financial datasets to identify patterns, signals, and inefficienciesConduct statistical analysis, backtesting, and performance evaluation of models and strategiesBuild and maintain research tools, analytics pipelines, and model infrastructureMonitor model performance and recalibrate parameters as market conditions changeSupport portfolio construction, optimization, and asset allocation analysisAssist with real-time risk monitoring, scenario analysis, and stress testingPrepare research documentation, model summaries, and presentations for internal stakeholdersPreferred QualificationsBachelor’s degree in Mathematics, Statistics, Computer Science, Physics, Engineering, Finance, or a related quantitative disciplineStrong foundation in probability, statistics, linear algebra, and optimizationProficiency in Python; experience with R, C++, Java, or MATLAB is a plusFamiliarity with financial markets, instruments, and quantitative finance conceptsExperience with data analysis libraries (e.g., NumPy, pandas, SciPy) and statistical modeling techniquesStrong problem-solving skills and attention to detailAbility to communicate complex quantitative concepts clearly to technical and non-technical audiencesHigh interest in quantitative research, modeling, and systematic investingAbout the Career Launch AI Talent NetworkThe Career Launch AI Talent Network helps job seekers pursue opportunities similar to this role through:Skills-based role matchingResume and profile optimizationGuidance on outreach to quantitative teams and hiring managersInterview preparation for quantitative, mathematical, and technical assessmentsTo learn more or express interest in quantitative finance and quant research roles, visit: