Strategic Data Analyst

2 days ago


Varanasi, Uttar Pradesh, India beBeeQuantitative Full time ₹ 11,10,000 - ₹ 17,90,000

Attractive Opportunity for a Quantitative Product Specialist

Our organization is seeking an experienced and skilled quantitative product specialist to join our dynamic investment team. This position involves supporting various global strategies across macro, alternatives, specialized investments, and tax benefit solutions.

This hybrid role combines quantitative and analytical support with client-facing responsibilities, bridging research, portfolio management, and client engagement.

The role offers extensive exposure to multiple stages of the investment process – from portfolio implementation and performance monitoring to product development, business presentations, and investor queries.

Key Responsibilities

  • Collaborate with complex datasets to produce customized portfolio analysis, factor attribution, and performance monitoring reports.
  • Utilize existing backtesters and reporting tools to support business development and client requests.
  • Maintain and enhance reporting infrastructure and codebases, anticipating updates as strategies evolve (e.g., new asset classes or sub-strategies).
  • Develop efficient tools and dashboards in Python/SQL to improve data delivery, accuracy, and efficiency.

Product & Client Support

  • Partner with senior product specialists to create and refine client-facing materials including pitchbooks, portfolio reviews, and RFP responses.
  • Translate complex quantitative insights into clear, client-relevant narratives.
  • Respond to client and investor queries with well-structured, data-backed analysis.
  • Collaborate across global research, trading, portfolio management, and business development teams.

Required Skills and Qualifications

  • Excellent academic credentials in a quantitative, technical, finance, or economics discipline.
  • 2+ years of relevant experience in investment management, asset management, consulting, or financial services.
  • Strong understanding of portfolio theory, risk/return concepts, and investment structures.
  • Proficiency in Python (pandas, NumPy, matplotlib/seaborn) and SQL; comfort with Excel and PowerPoint.
  • Demonstrated ability to analyze intricate datasets and produce insights tailored to audience and business objectives.
  • Strong written and verbal communication skills; ability to simplify complex technical concepts.

Benefits and Growth Opportunities

  • Opportunity to work with large and complex datasets.
  • Chance to collaborate with senior product specialists and develop client-facing materials.
  • Freedom to translate complex quantitative insights into clear, client-relevant narratives.
  • Flexibility to respond to client and investor queries with well-structured, data-backed analysis.

Additional Information

  • We are committed to providing a supportive and inclusive environment that fosters growth and development.
  • Our organization values diversity, equity, and inclusion and is dedicated to creating opportunities for individuals from underrepresented groups.


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