Quant Research Analyst

🗂 We’re Hiring: Quant Research Analyst🕒 Employment Type: Full-Time💼 Level: Entry-Level to Mid-LevelWe are seeking a highly analytical, mathematically driven, and research-oriented Quant Research Analyst to join our growing quantitative research and investment team. This role is ideal for individuals with a strong interest in financial markets, statistical modeling, quantitative research, algorithmic strategies, and data-driven investment decisions.🎯 Key Responsibilities• Conduct quantitative research across financial markets, asset classes, and investment strategies.• Analyze large and complex datasets to identify market patterns, signals, trends, and potential investment opportunities.• Develop, test, and validate statistical and mathematical models for financial research.• Design and backtest systematic trading and investment strategies using historical market data.• Perform statistical analysis, factor research, signal analysis, and performance attribution.• Build quantitative models to support portfolio construction, asset allocation, and risk management.• Conduct research on market behavior, volatility, pricing relationships, and alternative data.• Evaluate strategy performance using statistical and risk-adjusted performance metrics.• Identify potential biases, overfitting, data quality issues, and model limitations.• Automate data collection, cleaning, analysis, backtesting, and research workflows.• Develop analytical tools and research frameworks to improve quantitative investment processes.• Monitor live and simulated strategy performance and investigate unexpected results.• Collaborate with Quantitative Analysts, Portfolio Managers, Traders, Data Scientists, and Software Engineers.• Present research findings, methodologies, results, and recommendations to senior investment professionals.• Maintain clear documentation of datasets, models, assumptions, methodologies, and research results.✅ Requirements• Bachelor’s, Master’s, or PhD degree in Mathematics, Statistics, Finance, Economics, Computer Science, Engineering, Physics, or another quantitative discipline is preferred.• Experience in quantitative research, financial modeling, algorithmic trading, data science, investment research, or risk analytics is an advantage.• Strong knowledge of probability, statistics, regression analysis, optimization, and mathematical modeling.• Strong programming skills in Python, R, C++, MATLAB, or similar languages.• Strong Python skills with experience using NumPy, pandas, SciPy, scikit-learn, or similar libraries is an advantage.• Understanding of financial markets, portfolio theory, securities, derivatives, and investment concepts is preferred.• Experience working with financial or alternative datasets is an advantage.• Strong understanding of data structures, algorithms, statistical testing, and research methodologies.• Strong analytical, critical-thinking, and problem-solving skills.• Excellent attention to detail and ability to work with large datasets.• Ability to communicate complex quantitative concepts clearly to both technical and non-technical stakeholders.• Strong written and verbal communication skills in English.• Ability to work independently while collaborating effectively with investment and technology teams.🌟 What We Offer• Direct exposure to quantitative investment research and global financial markets.• Hands-on experience developing and testing systematic investment strategies.• Opportunities to work with large financial datasets, statistical models, and alternative data.• Exposure to portfolio construction, factor research, risk modeling, and algorithmic strategies.• Career progression into Senior Quant Research Analyst, Quantitative Researcher, Quantitative Analyst, Quantitative Developer, or Portfolio Management roles.• Training, mentorship, and continuous technical development.• Opportunities to work closely with experienced quantitative researchers, portfolio managers, and investment professionals.• Dynamic, intellectually challenging, and research-driven working environment.• Competitive compensation with performance-based incentives.