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Quantitative analyst
1 month ago
Capitalmind is a registered portfolio management company and Alternative Investment Fund (AIF). We are committed to innovation and excellence in the financial services industry and are actively pursuing expansion into the Mutual Fund licensing realm. We have received the in-principal approval from SEBI to launch a mutual fund in August 2024 and are actively working to launch the mutual fund.
Job Overview:
Job Title: Quantitative Analyst (Investment Research)
Company: Capitalmind Asset Management Private Limited
Location: 1 st Sector, HSR Layout, Bangalore
Work arrangement: On-site.
Job Role:
We seek a highly motivated and skilled Quantitative Investment Research Analyst to join our investment research team. The ideal candidate will have a strong foundation in quantitative finance, excellent programming skills in Python, and experience in back testing, portfolio construction, and optimization. As an integral part of a lean team, this role will involve conducting in-depth quantitative research, developing and validating investment strategies, and supporting portfolio management decisions.
Key Roles & Responsibilities:
➢ Conduct quantitative research on equity, debt, commodities and other markets, including data analysis, statistical modelling, and signal generation.
➢ Develop and implement simulation frameworks to evaluate the performance of investment strategies.
➢ Design and optimize portfolio construction models, considering factors such as risk, return, and transaction costs.
➢ Collaborate with portfolio managers to provide quantitative insights and support investment decision-making.
➢ Develop and maintain research databases and tools. Automate workflows where appropriate.
➢ Prepare research reports and presentations summarizing findings and recommendations.
➢ Stay up-to-date with the latest developments in quantitative finance and investment management.
Required Qualifications:
➢ Degree or equivalent in a quantitative field such as Finance, Mathematics, Statistics, Physics, Engineering, or Computer Science.
➢ 2-5 years of experience in quantitative equity research or a related field.
➢ Strong programming skills in Python, including experience with relevant libraries (e.g., Num Py, Pandas, Scikit-learn, Stats models).
➢ Solid understanding of statistical modelling, time series analysis, and econometric techniques.
➢ Understanding of financial statements and analysis.
➢ Experience in back testing investment strategies and evaluating their performance.
➢ Proficiency in portfolio construction and optimization techniques, including risk management.
➢ Excellent communication and presentation skills, with the ability to articulate complex quantitative concepts.
➢ Strong analytical and problem-solving skills, with a keen attention to detail.
➢ Ability to work independently and as part of a team.
➢ CFA or FRM certification (preferred but not required)
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