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.

Positive to Have
Exposure to AI/ML, Generative AI, and up-to-date analytics platforms.
Experience with Python, SQL, Tableau, Power BI, or related analytics technologies.
Exposure to AWS, Azure, or GCP-based analytics settings.
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

📌 Data Science Architect Bengaluru
🏢 Tata Consultancy Services
📍 Bengaluru