Best Online Course for Quantitative Finance | Certificate in Quant Finance

Certificate in Quant Finance

Program Details

Ideal for working professionals as well as students
Seven months (320 hours)
INR 1,79,500 (All inclusive) for participants in India
USD 2,450 for those registering from outside India
Super Early-bird discounts, Early-bird discounts, group discounts and special prices for students are available. Please contact us for more information
Fee payable in 3 installments
Classes are held on weekends, i.e., Saturdays and Sundays in the afternoon 3–8 pm IST (9:30 am–2:30 pm GMT).
Lectures will be live i.e. led by the instructor in real-time
Recording of each class will be available to all students

Eligibility

Who should attend?

If you wish to be part of the elite world of quants!! Regardless of which sector of industry you come from.
If you have a strong background in mathematics at the undergraduate level
The program is designed such that you do not need any background in finance or programming
Software professionals looking to break into the world of quants!
Students of engineering, physics, mathematics, statistics, economics, operations research and MBA

Curriculum: A bird’s eye view

1. Foundation in Maths

(Asynchronous) Mathematics for Quant Finance

Matrices, Ordinary and partial differential equations, Sequences and series, Taylor series.

Probability and Statistics

Basics of probability, Distributions, Expectation, Functions of a random variable, Moment generating function, Central Limit Theorem.

2. Explore the World of Finance

Foundations of Finance and Bond Mathematics

Forward rates, Yield-to-maturity, Duration, Convexity, Hedging with bonds, Floating rate notes, Interest Rate Swaps.

Options

Arbitrage Relationships for Option Prices, Put-Call parity, Trading strategies involving options, Two-step and multi-step Binomial Tree for option pricing.

3. Essential Tools

Python Programming for Finance

This course builds Python programming skills with emphasis on data types, functions, modules, OOP, and file handling. It also introduces NumPy, Pandas, Matplotlib, and Seaborn for data analysis and visualization.

Time Series Modelling and Forecasting

Covers AR(p) and MA(q) models (stationarity, invertibility, GE log returns examples), ARIMA framework (differencing, model selection via AIC/BIC), and forecasting with ARCH/GARCH for volatility clustering in financial data.

4. Heart & Soul of Quant Finance

Stochastic Processes for Quant Finance

Definition and classification of stochastic processes, discrete-time and continuous-time processes, martingales, Brownian motion.

Stochastic Calculus for Derivative Pricing

A rigorous introduction to stochastic calculus and its applications in finance. Arbitrage-free valuation of contingent claims derived by martingale methods. Black-Scholes option pricing theory. Applications to complex contingent claims.

5. Mathematical Modelling of Financial Derivatives

Interest Rate Derivatives

Black’s model, Caps, Floors, Swaptions, Hedging interest-rate derivatives.

Currency Derivatives

Forward FX rates, Cross Currency Swaps, Cross Currency Interest Rate Swaps (CIRCUS), Currency Futures, and Cross-currency Options

6. Numerical Methods

Monte Carlo Simulation for Financial Engineering

Generation of random numbers, Inverse Transform, Acceptance-Rejection Method, Pricing Path-Dependent Options, Variation Reduction Techniques, Control Variates, Antithetic Variates, Envelop Rejection method, Box-Muller method, Quasi Monte-Carlo Simulation

Finite Difference Technique for Solving Partial Differential Equations

Explicit, Fully implicit, Crank-Nicolson Method, Stability, Consistency and Convergence, Jacobi, Gauss-Seidel and SOR Method, Finite-difference formulation for American Options, Projected SOR.

7. Structured Products

Fixed-Income Securities

Repo, Interest-rate futures, Black’s formula for swaptions, Bond futures, Securitization, Mortgage-backed security (MBS)

8. Credit Derivatives

Modelling and Valuation of Credit Derivatives

Structural Models, Reduced Form Models, The Hazard Rate Model, Valuation of a CDS, Calibrating the CDS Survival Curve, CDS Risk Management.

9. Leading Edge of Quant Finance

Advanced Stochastic Calculus for Finance

Application of stochastic calculus to derivative pricing by using advanced methods such as stochastic differential equations and change of numeraire; Jump diffusion processes

Exotic Options

Path-dependent options such as up-and-out, down-and-out, Asian options etc.

Advanced Modelling of Credit Derivatives

Forward Starting CDS, Default Swaption, CDS Portfolio Indices, Single-Tranche Synthetic CDO

10. AI for Quant Finance

Machine Learning: Algorithms, Models, and Performance Analysis

This course introduces core machine learning concepts, including supervised, unsupervised, and reinforcement learning. It covers regression, classification, decision trees, probabilistic models, and evaluation metrics for practical applications.

Transforming Finance with AI: Trading, Sentiment Analysis, and Risk Modelling

Explores AI and ML application in Finance, including algo trading, feature engineering, time series application and regulatory standards.

What Distinguishes Certificate in Quant Finance of SQF?

World-class faculty
Curriculum at par with the world’s best
Thorough coverage of all major financial products
Unmatched rigor in theoretical underpinnings
Hands-on implementation of the important models
Special help in interview preparation to for quant jobs in top companies

Career Opportunities

Front office or Desk Quant: implements models required by traders
Machine Learning Model Validation Expert
Model Validation Quant who independently implements pricing models to check that front office models are correct.
Research Quant: conducts research to find new pricing approaches
Quant Developer: implements given models in a major programming language either for testing the given model or for product development, good for techies!
Statistical arbitrage quant: works on finding patterns in data to suggest automated trades.

The Certificate in Quant Finance is provided by the School of Quant Finance (SQF). It is a quantitative finance program that is designed for those interested in acquiring a clear grasp of the concepts of quantitative finance relevant to the financial industry. The course equips learners with the theoretical aspects of the subject along with experience in applications of the concepts.

This quantitative finance online course covers essential areas such as financial mathematics, financial modeling, derivative pricing, risk analysis, and investment management. The student will be exposed to the commonly employed methods for risk modeling, portfolio management, and quantitative analysis, thus giving a solid foundation for an analytical finance job. The courses are designed for easy learning with emphasis on simplicity and real-world application.

There are a number of courses related to quantitative finance, but this course is unique because it complements academic rigor with skills in demand in the industry. SQF’s courses are regarded as one of the best courses in quantitative finance because it takes the learner step-by-step from the basics to the advanced level. The program also integrates AI with quantitative finance beautifully to give the edge that the learner needs to excel in the financial industry. Placement support provided by the SQF further ensures a seamless transition to the role that best fits one’s aspirations and the overall skill-set. Some of the roles that will be readily available are Quant Analyst, Credit Risk Analyst, Portfolio Analyst, and a Financial Risk Manager.

On the whole, the Certificate in Quant Finance is a well-rounded learning approach for busy professionals and students looking to upskill themselves in their spare time to make a qualitative jump in their career.

Frequently Asked Questions (FAQs)

1. What is the Certificate in Quant Finance offered by SQF?

It is a structured program by the School of Quant Finance (SQF) that focuses on quantitative methods, financial mathematics, and risk analysis used in finance.

2. Who can enroll in this quantitative finance course?

Graduates and working professionals from finance, engineering, mathematics, statistics, and related quantitative fields can enroll.

3. Is this a fully online quantitative finance course?

Yes, the program is delivered online through structured learning modules and applied coursework.

4. What career roles does this course support?

The course supports roles such as Quant Analyst, Credit Risk Analyst, Portfolio Analyst, Quantitative Researcher, and Financial Risk Manager.

5.Does the Certificate in Quant Finance include placement support?

Yes, SQF provides placement and career guidance support as part of the program.

Still have questions?

Email: info@sqf.org.in

Teach at SQF

Contact Us