Quantitative Analyst

Position: Quantitative AnalystCompensation: USD $130,000 per annum + up to 15% Performance BonusTotal Annual Package: Up to USD $149,500Location: RemoteWe are seeking a Quantitative Analyst to join our data-driven research team focused 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 clear, data-informed insights.This position is remote, with the option to work from our Dubai office (with 0% income tax), if preferred (relocation and visa sponsorship support available).

Key Responsibilities

• Hedge Funds:Conduct comprehensive quantitative analysis of hedge fund returns, risk metrics, and factor exposures to evaluate manager skill and strategy persistence
• Develop and maintain proprietary analytical frameworks to decompose hedge fund performance, identify style drift, and assess risk-adjusted returns across market cycles
• Perform detailed attribution analysis to validate managers' stated investment processes and verify alignment with reported results
• Build and maintain risk factor models to evaluate strategy correlations, beta exposures, and potential portfolio overlaps across our manager universe
• Analyze portfolio-level characteristics including liquidity profiles, position-level concentration, and counterparty exposures
• Provide quantitative support to the CIO for manager evaluation and ongoing monitoring
• Create detailed analytical reports for the investment committee, synthesizing complex quantitative findings into actionable insights
• Other Asset Classes:Acquire, clean, and normalize various alternative datasets (e.g., sentiment, social media, and ESG sources)
• Develop 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 impact
• 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

• Master's degree in Finance, Economics, Mathematics, Computer Science, Engineering, Financial Engineering, Statistics, or a related quantitative field (required)
• 3+ years of experience in quantitative research, data science, or analytics within a leading financial institution (e.g., top-tier investment bank, asset manager, hedge fund, or proprietary trading firm)
• Proven track record of building and validating quantitative models in real-world market environments
• Proficiency in Python for data analysis (pandas, numpy, scipy) and modeling (statsmodels, scikit-learn)
• Experience with databases (SQL or NoSQL) and large-scale data processing frameworks
• Familiarity with statistical xuezdbg techniques (time-series analysis, regression, factor modeling, signal processing)
• Solid understanding of financial market structure, pricing, and liquidity
• Knowledge of key asset classes (equities, fixed income, or derivatives)
• Candidates must have completed all academic programs; those currently enrolled in part-time or full-time degree programs (e.g., part-time Master's, MPhil, PhD coursework) are not eligible

Preferred Qualifications

• PhD in a quantitative field (Financial Engineering, Statistics, or similar)
• Experience analyzing sentiment or alternative data (news feeds, social media, ESG, etc.)
• Background in machine learning, deep learning, or NLP for financial forecasting
• Familiarity with cloud computing environments (AWS, GCP, or Azure) for large-scale data processing
• Experience with portfolio optimization, risk analytics, or factor investing

Les qualifications, les compétences et toute l'expérience pertinente nécessaires pour ce poste se trouvent dans la description complète ci-dessous.
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Des options de télétravail/travail à domicile sont disponibles pour ce poste.