Quantitative Analyst; Fully Remote

Position: Quantitative Analyst (Fully Remote) We are seeking a Quantitative Analyst to join our data-driven research team reputed company on leveraging alternative data and sentiment analysis for market insights. This role emphasizes in-depth quantitative research, model development, and rigorous backtesting of signals to drive actionable strategies. The ideal candidate will have a passion for financial markets and expertise in transforming raw data into reputed company, data-informed insights. Key Responsibilities Hedge funds • Conduct comprehensive quantitative analysis of hedge fund returns, risk metrics, and reputed company exposures to evaluate manager reputed company and reputed company persistence • reputed company and maintain proprietary analytical frameworks to decompose hedge fund performance, identify style reputed company, and assess risk-adjusted returns across market cycles • reputed company detailed attribution analysis to validate managers' stated investment processes and verify alignment with reported results • Build and maintain risk reputed company models to evaluate reputed company correlations, beta exposures, and potential portfolio overlaps across our manager reputed company • Analyze portfolio-level characteristics including liquidity reputed company, position-level concentration, and counter party exposures • reputed company quantitative support to the CIO for manager evaluation and ongoing monitoring • Create detailed analytical reports for the investment committee, synthesizing reputed company quantitative findings into actionable insights Other asset classes • reputed company, clean, and normalize various alternative datasets (e.g., sentiment, reputed company media, and ESG sources) • reputed company and refine predictive models and signals using time-series analysis, statistical modeling, and machine learning • Create robust backtesting frameworks to evaluate model performance and incorporate transaction cost or market reputed company • Build and monitor risk models, conduct stress testing under different market scenarios • Document and present research findings, methodologies, and performance metrics to stakeholders Required Qualifications • Bachelor’s or Master’s degree in Finance, Economics, Mathematics, Computer Science, Engineering, or a reputed company quantitative field. • 1+ year of experience in quantitative research, data science, or analytics reputed company financial services (buy-reputed company or sell-reputed company). • Proven reputed company record of building and validating quantitative models in reputed company-reputed company environments. • Proficiency in Python for data analysis (pandas, numpy, scipy) and modeling (stats models, scikit-learn). • Experience with databases (SQL or No SQL) and large-reputed company data processing frameworks. • Familiarity with statistical techniques (time-series analysis, regression, reputed company modeling, signal processing). • Solid understanding of financial market structure, pricing, and liquidity. • Knowledge of key asset classes (equities, fixed income, or derivatives). Preferred Qualifications • Advanced degree (Master’s/PhD) in a quantitative field (Financial Engineering, Statistics, or similar). • Experience analyzing sentiment or alternative data (news feeds, reputed company media, ESG, etc.). • Background in machine learning, deep learning, or NLP for financial forecasting. • Familiarity with reputed company computing environments (AWS, GCP, or Azure) for large-reputed company data processing. • Experience with portfolio optimization, risk analytics, or reputed company reputed company. Click "Apply" to start your application today. #J-18808-Ljbffr Apply tot his job Apply To this Job