Data Science for Finance Course

Upgrade your career with a specialized Data Science for Finance Course designed for students and professionals in finance, engineering, and analytics. Learn Python, financial data analysis, machine learning, predictive modeling, and algorithmic trading using real market datasets. Gain hands-on experience with industry tools and practical projects guided by expert instructors. Build skills required for roles such as financial data scientist, quantitative analyst, and risk analyst. Flexible online learning with certification to boost your resume. No advanced experience required—just basic math and programming interest. Enroll today and unlock high-growth opportunities in fintech, investment banking, and quantitative finance. Limited seats available. Visit https://www.iiqf.org/courses/d....ata-science-for-fina

ESG Sustainability Modelling Insights

Dive into the world of sustainable finance with the Indian Institute of Quantitative Finance (IIQF) webinar on ESG Sustainability Modelling Insights! Scheduled for 28 February 2026, Saturday (11:30 AM–10 PM IST), this session is part of IIQF’s acclaimed BFSI quant finance practitioner series.

Explore the latest methodologies, analytical frameworks, and modelling techniques used to integrate Environmental, Social, and Governance (ESG) factors into quantitative models. Whether you’re a finance professional, risk manager, ESG analyst, or sustainability enthusiast, you’ll gain practical insights into how ESG metrics are being used to drive decision-making, measure impact, and support sustainable investment strategies.

Don’t miss this opportunity to learn from experts and elevate your understanding of ESG modelling — register now and stay ahead in sustainable finance! Register www.iiqf.org/events/esg-sustai....nability-modelling-i

AI and ML Model Risk Management Mandate
Unlock critical insights into the evolving world of AI and Machine Learning risk management in finance with this expert-led session by the Indian Institute of Quantitative Finance (IIQF). This focused webinar dives deep into the AI & ML Model Risk Management Framework, best practices for model validation, and current regulatory expectations shaping AI adoption in the financial services industry.

Participants will gain practical knowledge of building resilient and compliant AI/ML models, enhancing model explainability and usability, and aligning with emerging governance mandates on explainability, control frameworks, and oversight. The session is ideal for risk professionals, data scientists, model validators, and fintech practitioners looking to stay ahead in a rapidly changing regulatory and technological landscape.

Don’t miss this opportunity to learn from industry experts and elevate your AI risk management capabilities! Visit https://www.iiqf.org/events/ai....-ml-model-risk-manag

Join Our Online Webinar: Sustainability-Related ESG Derivatives
Dive into the next frontier of sustainable finance with our free online webinar on Sustainability-Related ESG Derivatives happening on 31 January 2026 at 11:30 AM (IST). Hosted by the Indian Institute of Quantitative Finance (IIQF), this session brings industry insights on cutting-edge ESG derivative products, their pricing, risk factors, regulatory landscape, and market outlook.

Designed for finance professionals, risk managers, traders, and sustainability enthusiasts, this webinar will explain how derivative instruments can be structured to incorporate environmental, social, and governance (ESG) performance metrics—helping participants understand both theoretical foundations and practical applications shaping the sustainable finance ecosystem today.

Don’t miss expert insights from Sanjay Bhatia, Director at UBS, with deep experience in risk modelling and derivatives analytics.

Register now and be part of the conversation driving sustainable financial innovation! Visit https://www.iiqf.org/events/su....stainability-related

Machine Learning vs Traditional Models in Market Risk

Join Our Webinar: Machine Learning vs Traditional Models in Market Risk
Date: 17 January 2026 | Time: 11:30 AM
Online – Hosted by IIQF

Dive into an insightful session where industry experts break down how machine learning models compare with traditional risk modeling techniques in assessing and managing market risk. Discover the strengths, limitations, and practical applications of both approaches in modern financial markets – from predictive accuracy and adaptability to interpretability and real-world risk forecasting. Register now! Visit https://www.iiqf.org/events/ma....chine-learning-vs-tr