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Quantitative Financial Model Developer

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Portfolio Analyst Job Description">

We are seeking a detail-oriented Portfolio Analyst with strong quantitative skills to support our investment team in portfolio construction, performance attribution, and financial model development.


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  • Key Responsibilities:
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  • Monitor and analyze portfolio performance, including risk metrics (e.g., VaR, volatility) and return attribution analysis.
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  • Conduct peer allocation and performance review, leveraging on fund factsheets and Morningstar.
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  • Build and maintain quantitative financial models to support portfolio optimization, scenario testing, and backtesting strategies via Python or Excel.
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  • Conduct quantitative research on asset allocation strategies, factor exposures, and market trends to identify opportunities and enhance portfolio return.
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  • Participate in the investment committee process by providing data-driven insights and model outputs.
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  • Develop and automate tools using Python, VBA, and Excel to improve investment reporting, data aggregation, and workflow efficiency.
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  • Assist in data collection, cleansing, and integration from multiple sources (Bloomberg, custodian banks, fund administrators, internal systems).
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  • Prepare investment reports, dashboards, and presentation slides for internal and external stakeholders.
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">Required Skills and Qualifications
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For this role, we are looking for individuals who possess a Bachelor's degree in Finance, Economics, Engineering, Computer Science, or a related quantitative discipline. Relevant experience in portfolio analytics, investment, or quantitative roles in fund management or financial institutions is also required.


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  • Technical Skills:
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  • Strong programming skills in Python and VBA, with practical experience in automating financial models and reports.
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  • Advanced knowledge of Microsoft Excel, including macros/VBA, and data visualization techniques.
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  • Familiarity with portfolio theory, performance attribution methodologies (e.g., Brinson attribution), and risk analytics.
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  • System knowledge such as Bloomberg or Morningstar is a plus.
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">Benefits
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At our organization, you will have the opportunity to work in a dynamic and supportive environment where your skills and talents can grow and thrive. Our experienced team will provide intensive on-the-job training to set you up for success and open up new areas of growth.


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As a valued member of our team, you will be encouraged to contribute your ideas and expertise to help drive our business forward.


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Furthermore, you will be working with a highly committed team who treat their careers like entrepreneurs. We work hard, and we play harder Behind our calm looks, you will be greeted with burning passion and loads of fun


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Here are some benefits that come with being part of our team:


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