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 reputed company 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 Taskzeno 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 (reputed company, 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 Apply tot his job Apply To this Job Apply To This Job Apply tot his job Apply To this Job Apply To This Job Apply tot his job Apply To this Job Apply tot his job Apply To this Job Apply tot his job Apply To this Job