Fundamentals of Financial Engineering

Certificate Course - Financial Engineering - FE.4.1.I25

Date Jul 21-24, 2026
Duration 4 days
Location On campus - Karlsruhe
Language English
ECTS Upon request
Cost 2,400 €

Course prerequisites - Completion of EM1 and EM2.

Discover what this course is all about

Fundamentals

Understand stochastic calculus, Ito’s Lemma, and probabilistic models for describing randomness in financial data and markets.

Technology

Apply Python, Monte Carlo methods, and stochastic differential equations to model and simulate financial engineering problems.

Applications

Evaluate and price risky assets across asset classes using simulation methods and stochastic models for stocks and interest rates.

What you´ll explore

  • Explore the fundamentals of financial engineering using stochastic and deterministic calculus.

  • Understand Ito’s Lemma and its role in modeling functions of random financial outcomes.

  • Learn how Gaussian and non-Gaussian features are used to describe financial data.

  • Study stochastic differential equations and their simulation using Python.

  • Discover how Monte Carlo methods are used to value risky financial assets.

  • Analyze applications across different asset classes such as stocks and interest rates.

Your key takeaways

  • Understanding of stochastic and deterministic calculus in finance

  • Ability to apply Ito’s Lemma in financial modeling

  • Knowledge of Gaussian and non-Gaussian data modeling techniques

  • Skills to simulate stochastic differential equations in Python

  • Competence in using Monte Carlo methods for asset valuation

  • Practical understanding of financial engineering applications across asset classes

Taught by recognized experts in Financial Machine Learning

Benefit from the knowledge of leading specialists with extensive experience in research and industry. Their deep expertise guarantees a course of outstanding academic and practical quality.

Prof. Dr. Maxim Ulrich

Prof. Dr. Maxim Ulrich is Professor of Risk Management and Financial Economics at KIT and has built an international academic career, including serving as Tenure-Track Assistant Professor at Columbia Business School from 2008. His work focuses on quantitative finance, asset pricing, and financial machine learning, making him a recognized expert in the field. 
He brings extensive experience from academia and practice, including fintech ventures and collaborations with institutions such as the ECB and Eurex.
 

Who should attend 

This course is particularly beneficial for professionals in the following fields:

  • Financial analysts and investment professionals
    Professionals in asset management, investment banking, or equity research analyzing financial instruments and structuring investments.

  • Risk managers and treasury specialists
    Experts in risk management, financial control, or corporate treasury optimizing financial strategies and hedging exposures.

  • Quantitative analysts and data scientists
    Specialists developing financial models, algorithms, or data-driven approaches in banking, asset management, or fintech.

  • Corporate finance and strategy experts
    Professionals in corporate development, M&A, or strategic planning evaluating investment decisions and capital structure.

  • Consultants in finance and advisory
    Advisors supporting clients in financial engineering, valuation, or structuring complex financial solutions.

  • Regulators and policy analysts in finance
    Professionals in regulatory bodies or policy institutions assessing market structures, risks, or the impact of financial innovations.

  • Researchers and academics in finance and economics
    Researchers, PhD candidates, or academics interested in financial engineering, quantitative finance, or financial innovations.

  

Advance your career with KIT-level expertise

Benefit from the reputation of the Karlsruhe Institute of Technology (KIT) while gaining practical skills, flexible learning opportunities, and a recognized certificate to support your long-term professional growth.

Flexibility

Gain focused expertise in a specific field without committing to a full degree program, allowing you to build relevant knowledge efficiently and integrate learning seamlessly into your professional routine.

Relevance

Benefit from high-quality academic content combined with practical insights, delivered by experienced experts, supporting continuous, lifelong learning while ensuring direct applicability in real-world scenarios.

Advancement

Enhance your professional profile with a recognized certificate, demonstrating your commitment to ongoing development and supporting your career with tangible, verifiable credentials.

 

About HECTOR School

HECTOR School, the Technology Business School of the Karlsruhe Institute of Technology (KIT), is a leading provider of executive education in technology-driven fields.