A Financial Quantitative Analyst develops mathematical or statistical models used in the financial sector. Applies models and quantitative methods to analyze securities or other business data; provides analysis used to inform investment and trading strategies and manage risk.
Graduate DegreeThe Quantitative Analyst will work in collaboration with analysts, traders and portfolio managers in a fast-paced environment. They will be a significant contributor to internal risk systems and portfolio monitoring tools by supporting the investment teams. The Quantitative Analyst will present analysis to the investment team in a clear and concise manner. The ideal candidate should have a strong passion for quantitative research and insight generation. Job Functions Develop and maintain analytical solutions to scrutinize large data sets Manage and improve tools for portfolio and risk management, counterparty exposures and market analysis Conduct surveillance of investment positions and track evolving risk factors Support portfolio managers by carrying out top-down and bottom-up research across multiple investment markets Qualifications Advanced degree in quantitative discipline preferred and 1+ years experience in the asset management industry Excellent analytical skills and empirical research experience Strong Python and R programming skills; We also value candidates with strong programming fundamentals over familiarity with any specific language. Experience using generative AI or AI-assisted tools for coding, research, data analysis, or other work in professional or academic settings is preferred. Experience working with large datasets/databases Solid understanding of risk management, [sensitivities (greeks), VaR, and stress-testing/scenario analysis] Strong research skills, including ability to problem solve creatively Ability to prioritize time and tasks effectively and meet deadlines Ability to present analysis clearly and effectively Base Salary Range The estimated base salary range for this position is $100,000 - $115,000. In addition to base salary, this position is eligible for an annual discretionary bonus, plus a comprehensive benefits package.
Qualifications:
Advanced degree in quantitative discipline preferred and 1+ years experience in the asset management industry Excellent analytical skills and empirical research experience Strong Python and R programming skills; We also value candidates with strong programming fundamentals over familiarity with any specific language. Experience using generative AI or AI-assisted tools for coding, research, data analysis, or other work in professional or academic settings is preferred. Experience working with large datasets/databases Solid understanding of risk management, [sensitivities (greeks), VaR, and stress-testing/scenario analysis] Strong research skills, including ability to problem solve creatively Ability to prioritize time and tasks effectively and meet deadlines Ability to present analysis clearly and effectively Base Salary Range The estimated base salary range for this position is $100,000 - $115,000. In addition to base salary, this position is eligible for an annual discretionary bonus, plus a comprehensive benefits package.
