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Job Type

Full Time

Job Description

Job Summary:


Senior Data Scientist


Key Responsibilities:


  • AI/ML Development:

  • Design, develop, and deploy machine learning models including LLMs, predictive analytics for the fund management using Python, Scikit-learn, XGBoost, and other frameworks.
  • Data Integration & Visualization:

  • Insight development and automating them using Power BI, integrating data from SQL and AWS.
  • Data warehouse development:

  • Design and develop data warehouse for financial data using AWS services. Experience of Bitbucket, JIRA is added advantage.


Required Qualifications:

  • Bachelor’s degree in computer/data science or related field (Master’s preferred).
  • 4+ years of experience in data science, machine learning, and analytics.
  • Strong programming skills in Python, Pyspark, SQL, and AWS analytics services.
  • CFA/CQF/FRM is an added advantage
  • Proficiency in Power BI, Power Platform, and automation tools.

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