SuperCharge Your Career
Quantitative and Computational Finance; Investment and Risk Management Programs
The FinAnalytics is an industry-centric project-based online learning platform that up-skills aspiring students and professionals, facilitating the hands-on experience for them to attain their desired employment opportunities by offering courses around financial products and derivative instruments, quantitative and computational finance, financial market and credit risk, excel and python for finance, and a lot more.
-
-
PRIME MEMBERS
COUNTRIES REACHED
-
-
-
BLOGS PUBLISHED
MINIMUM SALARY
HIGHEST SALARY
Our Comprehensive Learning Approach
We don't just teach theory, we train learners to be industry-ready. Every concept is explored through real-world scenarios, modeled with actual financial data, and connected to the workflows used by professionals in leading institutions. Instead of focusing on rote memorization, learners are trained to develop quant models, question theoretical assumptions, interpret results, and build automated solutions.
1
Our methodology encourages experimentation and focuses not only mere acquisition of information and facts but also on encouraging an attitude of critical engagement and analysis of the things we learn. Most of the content has use or application to a context and is extremely connected to their immediate curriculum which makes it easy for the trainees to relate to it before getting into modeling.
Step 1
Gain Conceptual Understanding
Market Risk ⇌ Value-at-Risk Methodology ⇌ A Practical Guide for Risk Professionals
Value-at-Risk measure targets to calculate the maximum possible loss that can occur on investment under normal circumstances at a certain confidence level in a given time frame. Most interestingly, this measure can be applied to a single position, on a portfolio of securities, or on an entire trading desk.
​
"under normal circumstances" - value-at-risk to be calculated under normal market conditions and for that, the calculated returns using the historical time-series data assumed to be normally distributed. "at a certain confidence level" - value-at-risk can be calculated at a 95%, or 97.5%, or 99% confidence level. The confidence level determines at what level the firm is willing to assess the risk. "in a given time frame" - the risk can be assessed at different time frames, also called value-at-risk horizon. This horizon refers to the time period between two data points and that time period could be 1 day, 10 days, 1 month, 3 months, or a year to calculate 1-Day VaR, 10-Days VaR, 1-Month VaR, 3-Months VaR or 1-Year VaR respectively.
Step 2
Application with Financial & Statistical Modeling in Excel
Market Risk ⇌ Value-at-Risk Methodology ⇌ Parametric Model
2
Our programs are intensive where trainees learn financial & statistical modeling in Excel using an intuitive, step-by-step approach. Trainees will use real market data to build the models from scratch, the way it should be done and being done in the finance industry. These programs are a synthesis of Excel modeling, navigating through various financial data available, and the application of conceptual understanding.
3
Our programs are focused on delivering practical Python skills for finance professionals looking to maximize their use of these time-saving tools within their organizations. Our programs will provide a view of what lies under the surface of model output, and help to better interrogate a model, along with algorithms, simulators, and predictive engines using statistical and automation tools, opening the paths to get into investment banking, hedge funds, trading desks, and similar roles in other global financial organizations where you partner with data scientists and others to drive the adoption and use of python.
Digital finance knowledge and skills are essential components of the technology transformation. And having the skills to understand how these technologies are deployed and integrated into a business strategy is essential.
Step 3
Implementation & Automation using Python in Real-Time
Market Risk ⇌ Value-at-Risk Methodology ⇌ Backtesting HistoVaR Model
%20Models.png)
Our Core Programs taught By Industry Professionals
Understanding concepts from industry professionals with deep expertise in quantitative finance and risk management. Each program is designed and taught by practitioners who bring real-world perspectives into every session, transforming theoretical knowledge into practical exposure.
Live Batch + Recorded Session
.png)
this program offers hands-on training to provide you with the skillset and experience needed to succeed in quantitative modeling. You'll learn how to write algorithms, build simulators, develop predictive engines, backtest investment and risk models, trading strategies, and a lot more.
#PythonQuant #PracticalSkills #HandsOnExperience
INR 25,000
Live Batch + Recorded Session
.png)
An advanced training program designed to equip professionals with in-depth knowledge, hands-on expertise, and quantitative techniques essential for managing financial market risks effectively. It bridges the gap between theoretical risk frameworks and real-world risk management practices. #PracticalSkills #HandsOnExperience
INR 20,000
Live Batch + Recorded Session
.png)
An advanced training program designed to equip professionals with in-depth knowledge, hands-on expertise, and quantitative techniques essential for managing financial credit risks effectively. It bridges the gap between theoretical risk frameworks and real-world risk management practices. #PracticalSkills #HandsOnExperience
INR 20,000
Live Batch + Recorded Session
.png)
this program covers a wide range of derivatives, from plain vanilla to exotic, on equity, interest rate, fx, and commodity. With a focus on practical skills and hands-on experience, gain valuable insights into the development and validation of pricing and valuation models and learn best practices of applications of derivatives instruments. #HandsOnExperience
INR 20,000
Live Batch + Recorded Session
.png)
An advanced training program designed to equip professionals with in-depth knowledge, hands-on expertise, and quantitative techniques essential for effectively managing fixed-income investments and risks. It bridges the gap between theoretical frameworks and real-world investment strategies and risk management. #PracticalSkills #HandsOnExperience
INR 12,000
Live Batch + Recorded Session
.png)
This program will train you to become a professional in building quantitative excel-based models by having hands-on experience in both financial and statistical models.
In the end, you'll be able to build models like an expert and apply learnings at your workplace. #PracticalSkills #HandsOnExperience
INR 20,000
The Financial Articles Published By Domain Experts
Invest time in reading our financial book and master the fundamental building blocks of the finance industry in a more practical manner. Subscribe to The Financial Book and get the comprehensive course packet instantly.
Quantitative finance and computational finance are two fields that have gained immense popularity in recent years due to the rapid advancement in technology and the increasing complexity of financial markets. Both fields involve the application of mathematical and computational methods to financial problems, but they differ in their approach.
​
Use Cases: Vectorization and Monte Carlo Simulation | Backtesting Quantitative Models | Stochastic Volatility Modeling
Mentor & Co-Founder | The FinAnalytics
→ "Applied Time Series Models for Equity Risk - Simple vs. Exponential" project is designed to help you master the art of analyzing and predicting the risk of an equity investment. You'll have the opportunity to work with real-world data and explore the use of different time series models to assess risk. By comparing simple models like rolling standard deviations to more complex models like rolling exponentially weighted deviations, you'll gain a deeper understanding of the different approaches to risk assessment and be able to choose the best method for your needs.
Mentor & Co-Founder | The FinAnalytics
_page-0001.jpg)
→ Python is revolutionizing the financial industry with its versatile capabilities being a powerful and popular general-purpose programming language. From analyzing financial data to building complex financial models, automating financial processes, and even facilitating algorithmic trading, Python has proven to be a valuable tool for professionals in the finance sector.
Its ease of use and growing popularity among developers make it the go-to choice for tackling the most challenging financial tasks.
Mentor & Co-Founder | The FinAnalytics
Our Primer Programs taught By Industry Professionals
Understanding concepts from industry professionals with deep expertise in quantitative finance and risk management. Each program is designed and taught by practitioners who bring real-world perspectives into every session, transforming theoretical knowledge into practical exposure.
Live Batch + Recorded Session
Market Data Management And Automation
.png)
The MDM Course will take you from the basics to the intermediate-level, covering key financial instruments, across asset classes, including Equities (EQ), Foreign Exchange (FX), Interest Rates (IR), Commodities (COMM), and Derivatives (FnO). It is designed for both beginners and professionals looking to advance in automation and market data management.
INR 5,000
Live Batch + Recorded Session
QuantStats for Finance Professionals
.png)
This program will train you to become proficient in quant & stats by applying quantitative methods and performing statistical analysis using excel & python.
QuantStats for Finance + Ultimate Python for Finance is a perfect combination to pursue quantitative finance (Python Basics is pre-included).
INR 12,000
Live Batch + Recorded Session
.png)
A perfect foundation stone to start a career in data science and data analytics. This program is designed to teach you all the basics of python programming and the use of popular libraries like pandas, numpy, and matplotlib.
Everything will be covered from absolute zero. In the end, you'll be able to start writing your own algorithms.
INR 5,000
