Data science Architect

Tata Consultancy Services
Bengaluru, Karnataka, India

Role- Data Science Architect – Capital Markets/Risk

Experience: 6–12 Years

Location: India – Mumbai/Pune/Bangalore

Required Skills & Experience

Must Have

  • 6–12 years of experience in Analytics, Data Science, Quantitative Analytics, Risk Analytics, or related BFSI roles.
  • Strong Capital Markets domain expertise with good understanding of financial products, markets, trading, risk management, regulatory reporting, or investment processes.
  • CFA or FRM certification strongly preferred.
  • Good understanding of Data Science, Machine Learning, Statistics, Predictive Analytics, and AI concepts.
  • Experience working on analytics and data science initiatives with understanding of the end-to-end project lifecycle.
  • Ability to define, review, and guide solution architectures for analytics and data-driven applications.
  • Good understanding of data platforms, data engineering concepts, and analytical ecosystems.
  • Experience engaging with senior business stakeholders and customers in consulting or advisory roles.
  • Experience conducting workshops, requirements gathering, solution discussions, and executive presentations.
  • Excellent communication, presentation, consulting, and stakeholder management skills.
  • Ability to translate business requirements into practical analytics and technology solutions.Good to Have
  • Exposure to AI/ML, Generative AI, and modern analytics platforms.
  • Experience with Python, SQL, Tableau, Power BI, or related analytics technologies.
  • Exposure to AWS, Azure, or GCP-based analytics environments.
  • Experience supporting proposals, RFPs, and pre-sales engagements.
  • Experience working with global banks, asset managers, exchanges, consulting firms, or financial institutions.
  • MBA from a premier institution with specialization in Finance, Analytics, or Strategy.

Education

  • Bachelor’s or Master’s degree in Engineering, Computer Science, Mathematics, Statistics, Finance, Economics, or a related quantitative discipline.
  • CFA (Chartered Financial Analyst) or FRM (Financial Risk Manager) preferred.
  • MBA from a premier institution such as IIMs preferred.

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