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Quantitative Analyst Portfolio Research and Development
4 weeks ago
RuDo Wealth Investment Advisory Pvt Ltd. is a digital wealth management platform that empowers mass affluent individuals to build sustainable wealth and achieve financial independence through a holistic approach. Our focus is on data-driven investment strategies, offering global and Indian investment options using mutual funds and ETFs.
We strive to simplify wealth-building by democratizing financial advisory, making it accessible, affordable, and personalized. Our mission is to provide innovative solutions for our clients, leveraging cutting-edge technology and expert knowledge.
The RoleWe are seeking a highly skilled Quantitative Analyst to join our team. As a key member of our investment team, you will play a crucial role in developing the quantitative framework for our portfolio strategies, focusing on both global and India-based investments. This position involves building dynamic portfolio methodologies using mutual funds and ETFs, helping create robust strategies for asset allocation, risk management, and portfolio construction.
Responsibilities- Design and implement quantitative frameworks for dynamic portfolio management, using mutual funds and ETFs for both global and Indian markets.
- Conduct research on asset classes, including equities, fixed income, and alternative investments, and apply quantitative methods to drive portfolio performance.
- Support the development and enhancement of financial models using statistical techniques like regression analysis, optimization, and forecasting.
- Contribute to client presentations and discussions, explaining portfolio methodologies and strategies in simple terms.
- Research mutual funds and ETFs in global and Indian markets, and contribute to building investment solutions aligned with RuDo Wealth's philosophy.
- Collaborate with the investment team and other departments to integrate quantitative models into RuDo's digital platform.
- 2+ years of experience in quantitative research, portfolio construction, mutual fund analysis, and/or asset allocation, preferably within the wealth management or investment industry.
- CFA Level I or II candidate, FRM, or a postgraduate degree in finance, economics, mathematics, or statistics is preferred.
- Proficiency in programming and quantitative modeling using Python, R, or PySpark. Experience with Jupyter Notebooks and cloud platforms like AWS is an added advantage.
- Basic understanding of statistical models (e.g., regression, optimization, forecasting) and modern portfolio theory.
- Ability to explain quantitative concepts clearly to both technical and non-technical audiences.
- Strong collaboration skills with an ability to work effectively with cross-functional teams.
- Competitive salary and benefits package
- Opportunity to work in an innovative and fast-growing fintech startup
- A collaborative work environment with global exposure
- Growth opportunities and mentorship from senior investment professionals
