Quantitative Analyst / Quantitative Research Analyst

🗂 We’re Hiring: Quantitative Analyst / Quantitative Research Analyst🕒 Employment Type: Full-Time💼 Level: Entry-Level to Mid-LevelWe are seeking a highly analytical, mathematically skilled, and research-oriented Quantitative Analyst / Quantitative Research Analyst to join our growing investment and quantitative research team. This role is ideal for individuals passionate about financial markets, statistical modeling, algorithmic research, data analysis, and developing quantitative strategies.🎯 Key Responsibilities• Conduct quantitative research on financial markets, securities, portfolios, and investment strategies.• Develop statistical models, mathematical models, and quantitative methodologies.• Analyze large datasets to identify patterns, trends, relationships, and potential market signals.• Design, test, and evaluate quantitative investment and trading strategies.• Perform statistical analysis, hypothesis testing, regression analysis, and time-series analysis.• Build and maintain financial models, forecasting models, and risk models.• Conduct historical backtesting and evaluate strategy performance.• Analyze portfolio performance, risk exposures, volatility, correlations, and returns.• Develop quantitative tools and analytical frameworks to support investment decisions.• Clean, process, transform, and validate large financial datasets.• Automate research, analysis, reporting, and data-processing workflows.• Monitor quantitative models and investigate performance anomalies or unexpected results.• Collaborate with Portfolio Managers, Traders, Investment Analysts, Data Scientists, Software Engineers, and Risk teams.• Research new quantitative techniques, financial models, datasets, and market developments.• Prepare research reports, analytical presentations, dashboards, and recommendations for senior investment professionals.• Document methodologies, assumptions, models, research findings, and testing results.✅ Requirements• Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Economics, Finance, Engineering, Physics, or a related quantitative field.• Experience in quantitative research, financial analysis, algorithmic trading, data science, or investment research is an advantage.• Fresh graduates with strong quantitative backgrounds, research projects, internships, or relevant academic experience are encouraged to apply.• Strong knowledge of probability, statistics, linear algebra, calculus, and mathematical modeling.• Strong programming skills in Python, R, C++, MATLAB, or similar languages.• Strong knowledge of data analysis and statistical modeling techniques.• Understanding of financial markets, securities, portfolio theory, and risk management is an advantage.• Experience with financial datasets and quantitative research tools is a plus.• Knowledge of SQL and database systems is preferred.• Familiarity with machine learning and predictive modeling is an advantage.• Experience with backtesting frameworks or quantitative trading platforms is a plus.• Strong analytical, critical-thinking, and problem-solving abilities.• Excellent attention to detail and ability to validate complex models and results.• Ability to communicate complex quantitative concepts clearly.• Strong research and documentation skills.• Ability to work independently and collaboratively in a fast-paced environment.• Good written and verbal communication skills in English.• CFA, FRM, CQF, Master’s degree, or PhD in a quantitative discipline is an advantage.🌟 What We Offer• Hands-on experience conducting quantitative research across financial markets and investment strategies.• Exposure to statistical modeling, algorithmic strategies, financial datasets, portfolio analytics, and risk modeling.• Structured training and mentorship from experienced quantitative researchers and investment professionals.• Opportunities to work with large datasets and advanced analytical technologies.• Career progression into Senior Quantitative Analyst, Quantitative Researcher, Quantitative Developer, Portfolio Analyst, Risk Analyst, or Quantitative Strategist roles.• Opportunities to strengthen programming, mathematical modeling, financial research, and statistical analysis skills.• Exposure to innovative quantitative investment methodologies and data-driven decision-making.• Dynamic and intellectually challenging working environment.• Continuous learning and professional development opportunities.• Competitive compensation with performance-based incentives.