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Derivatives Trading Course

Unlock your future in finance with the Certificate Program in Derivatives Valuation & Risk Analytics (CPDVRAu00ae) by the Indianu202fInstituteu202fofu202fQuantitativeu202fFinance. Over a 4-to-5-month live-online weekend format, this industry-driven course empowers you to master pricing and risk-modelling for derivatives across equity, FX, and interest-rate markets using Python and Excel. Visit https://www.iiqf.org/courses/derivatives-valuation-risk-analytics.html<br><br>

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Derivatives Trading Course

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  1. Derivatives Trading Course Certificate Program in Derivatives Valuation & Risk Analytics (CPDVRA)

  2. Course Overview A live-online, instructor-led weekend programme designed to deliver practical, industry-oriented skills in derivatives valuation and risk analytics. Especially tailored for not just finance professionals but also non-finance professionals (for example: software developers, business analysts, credit analysts) seeking to transition into derivatives/risk modelling roles. Why this course matters: In today’s financial markets, derivatives instruments (options, futures, swaps) and the associated risk analytics are central to trading desks, treasury functions, model validation and risk management. Many professionals possess theoretical knowledge of derivatives or risk-modelling, but lack hands-on ability to code and implement models for real-world use: this course bridges that gap. Acquiring both valuation and risk-analytics skills opens up roles such as derivatives trader, quant modeller, risk analyst, treasury analytics, model validation—thus making the course career-relevant and competitive.

  3. Why Choose This Programme • World-class faculty: quant practitioners & risk management experts from top global banks/institutions. • Industry-focused curriculum: designed by quant/risk practitioners to prepare job-ready professionals. • Emphasis on practical implementation: the “real-world” application of models, including programming in Python, Excel.

  4. Course Structure & Modules • Optional Primer: Introduction to Programming / Programming in Python. • Module 204: Machine Learning for Quantitative Finance – supervised & unsupervised learning, time series, volatility forecasting. • Module 205: Stochastic Processes – basic stochastic processes. • Module 206: Numerical Methods – e.g., Monte Carlo Simulation. • Module 207: Derivatives Valuations – implementing equity options, currency derivatives, interest rate derivatives. • Module 208: Risk Analytics 1 – introduction to financial risk management, market risk, credit risk. • Module 209: Risk Analytics 2 – operational risk, liquidity risk, investment portfolio management.

  5. Risk Analytics in Derivatives Trading • Market Risk: price risk, volatility risk, interest rate risk. • Credit Risk: counterparty risk in OTC derivatives. • Liquidity Risk: impact on derivatives positions, margin. • Operational Risk: process failures in trading/clearing. • How these concepts are addressed in the programme.

  6. Who Should Attend & Career Opportunities • Suitable for: financial analysts, research analysts, risk analysts, credit analysts, investment managers, finance controllers, corporate managers, management students, IT professionals. • Career paths: quant/model risk analyst, derivatives trader, risk management professional, treasury derivatives desk, structuring. • Placement assistance provided by IIQF for eligible students.

  7. Contact Us Indian Institute of Quantitative Finance Workafella, AK Estate, Off Veer Savarkar Flyover, Swami Vivekananda Rd, Goregaon West, Mumbai, Maharashtra – 400062 +91-8976993621 / +91-8976993622 https://www.iiqf.org/

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