As the financial industry undergoes a data-driven transformation, professionals who blend finance expertise with analytics acumen are becoming indispensable. Recognising this urgent need, National Institute of Securities Markets (NISM) offers the Certificate Programme in Financial Analytics (CPFA)—a rigorous and future-focused course designed to empower finance professionals with practical data handling, modeling, and interpretation skills that directly align with contemporary industry requirements.
Financial Analytics Professionals: Market Demand and Growth Trends
| Metric / Segment | Insight |
|---|---|
| Fintech Sector Demand for Data Talent | 87% of Indian fintech companies seek candidates with financial + analytics skills |
| Share of Analytics Jobs from India | 17.4% of global analytics job postings; highest worldwide |
| Average Salary for Financial Analysts in India | ₹4–6 LPA (entry-level); ₹12–25 LPA (mid-to-senior level with analytics skillset) |
Sources:
Why CPFA is the Need of the Hour: Bridging Finance with Data-Driven Insight
NISM’s Certificate Programme in Financial Analytics (CPFA) is designed to meet the growing industry demand for finance professionals with strong analytical skills. Through 160 hours of live, expert-led sessions, the programme offers practical training in financial modeling, credit analysis, valuation, and risk assessment using real-world data and case studies.
Participants gain hands-on experience with key tools like Python, R, Excel, and Power BI, preparing them for strategic, data-driven decision-making in today’s evolving financial landscape.
CPFA: Tailored to Industry Demands
| Industry Requirement | CPFA Programme Inclusion |
|---|---|
| Cross-functional finance + analytics skillset | Integrated curriculum covering finance, statistics, Python/R, and visual analytics |
| Proficiency in analytical tools (Excel, Power BI, Python, R) | Practical tool-based training with assignments and guided labs |
| Data visualization & storytelling | Modules on interactive dashboards, business insights, and presentations |
| Risk and credit analytics | Hands-on training in modelling, credit scoring, and financial forecasting |
| Real-world financial data application | Exposure to real-time datasets and industry-simulated capstone projects |
| BFSI, Fintech, Consulting-ready profiles | Curriculum aligned with recruitment trends across financial and analytics domains |
Learning Objectives & Takeaways of CPFA Programme
| Learning Objectives | Key Learning Takeaways |
|---|---|
| Build strong fundamentals in financial markets, macroeconomics, and investment theory | In-depth understanding of capital markets and financial instruments |
| Equip learners with hands-on knowledge of financial analytics tools and techniques | Practical skills in Excel, Power BI, Python, R for modeling and data interpretation |
| Enable construction of financial models for valuation, forecasting, and portfolio analysis | Ability to assess investment opportunities and construct optimized portfolios |
| Develop data-driven decision-making skills using real-world financial data | Proficiency in credit risk analysis, predictive modeling, and scenario planning |
| Provide exposure to real-life financial datasets and cases | Confidence in applying knowledge to industry-based capstone projects and simulations |
| Align learning outcomes with current BFSI and fintech industry demands | Job-readiness for roles such as Financial Analyst, Risk Analyst, Business Intelligence Analyst |
Career Pathways: Where CPFA Can Take You
| Job Role | Key Skills from CPFA | Prospective Recruiter(s) |
|---|---|---|
| Financial Analyst | Forecasting, Valuation, Excel, Market Analysis | Investment Firms, NBFCs, AMCs |
| Risk Analyst | Credit Risk Models, Basel Norms, Scenario Analysis | Banks, Fintech, Rating Agencies |
| Investment Analyst | Portfolio Construction, Equity Research, Financial Modeling | PE/VC Firms, Asset Management |
| Financial Data Analyst | Python, R, Power BI, SQL | Fintech, Consulting, Analytics Startups |
| Business Intelligence Analyst | Dashboarding, Visualization, Storytelling with Data | Technology, BFSI, Corporate Strategy Teams |
| Quantitative Analyst | Statistics, Regression, Risk Modeling | Hedge Funds, Algorithmic Trading, Quants Roles |
Author: Dr. Shubhangi Chaturvedi, A.M (Sr.)
Volatility risk is well known, but that is usually less dangerous Retirees fear market volatility, and volatility is a risk…
For NISM, 2025 was defined by a renewed commitment to capacity building and investor education. Anchored by our mandate from…
The threats of money laundering (ML) and terrorist financing (TF) have grown exponentially due to the increasingly interconnected nature of…
© 2026 National Institute of Securities Markets (NISM). All rights reserved.
