Training
Learning Today, for a Smarter Tomorrow
The finance industry is highly competitive, and getting new products and services to market quickly is critical to success.
Your entire team contributing while following best practices and regulatory requirements is the foundation of that success.
Enhancing the skills of your existing team or rapidly upskilling new-joiners. Our training courses will allow your whole team to quickly,
safely and efficiently contribute and achieve time-to-market goals. Our courses are created and presented by
experienced market professionals with decades of front-office quant, quant-dev and IT experience. The course contents
consist of practical, realistic approaches and advice applicable to the fast-paced, rapid-delivery world of banking.
All courses can be modified for duration, content and delivery mechanism to best fit the client's needs.
Courses
Python For Finance
Python is a versatile language that is widely used in many industries. It has become an essential tool for finance professionals for data analysis, automation, machine learning, and more. Our course will provide you with the fundamental knowledge and practical skills you need to use Python effectively in your day-to-day work. Taught by finance experts, it focusses on the real, practical, python needed to solve real finance problems.
Target Audience: Finance professionals with little or no previous Python experience.
Industrial-Strength Coding
Good development practices are essential to financial software in order to ensure accuracy, efficiency, reliability, maintainability and adherence to regulatory requirements. This course provides practical training on how to approach real software development in the fast-paced world of front-office development from practitioners with decades of front-office experience.
Target Audience: Upskilling quant, quant-dev and IT teams. New joiners and Interns/summer students.
High-Performance C++
Financial institutions and especially front-office banking are dependent on high-speed mathematical calculations to make informed trading decisions, manage risks, engage in high-frequency and algorithmic trading, and process large amounts of data efficiently. The ability to perform these calculations quickly and accurately is a competitive advantage in the finance industry and can lead to better financial outcomes and open up business opportunities.
Target Audience: Experienced quant and quant-dev teams with a C++ and numerate background.
Numerical Software Development
Numerical software is used extensively in finance. The accuracy, stability, and speed of numerical software are critical for the quality and reliability of its results. How software is implemented for mathematical calculations and the choice of algorithms can have a very significant impact on speed, accuracy, reliability and stability of price and risk sensitivity calculations. This course provides an understanding of the issues involved and how to mitigate their impact in real financial calculations.
Target Audience: Experienced quants with a C++ and numerate background.
Foundations of Derivative Pricing
Learning mathematical finance and the principles behind derivative pricing is essential for anybody working in front-office investment banking, whether a quant actively developing financial models or a quant-dev developing the infrastructure around the models. This course provides a practical foundation in the mathematical and the computation/numerical approaches used for pricing and risk-managing derivatives.
Target Audience: Graduate quants without a MFin backgroud. All quant devs with a numerate background.
Cloud Migration
Migrating financial software to cloud computing can provide financial organizations with greater scalability, cost savings, accessibility, security, and innovation, making it an attractive option for many organizations. However, it's important to carefully evaluate the benefits and risks of cloud computing before making a decision to migrate. This course covers the costs/benefits of cloud computing as well as the design of and implementation to a cloud or hybrid-cloud framework.
Target Audience: Quant, IT and Risk managers considering or in the process of migrating to cloud compute
Cloud Financial Modelling & Analysis
Companies quickly find that deploying large computational loads to the Cloud becomes easier and easier – but with this power, increasing costs. Companies can run up large bills until and steps are required to bring costs and ROI under control.
This course covers the parameters to consider when designing the deployment of systems, metrics that can be captured and instrumented to allow rich analysis of the resulting costs. Combined with this analysis, modelling is shown of what the real world costs can be and how to constrain the environment, and the development teams, to operate under.
An understanding is developed of how machine specification, dynamic scalability vs pre-allocation, latency and criticality constraints all affect the operation and resulting costs.
Target Audience: Quant, IT and Risk managers considering or in the process of migrating to cloud compute
Training Team
Subject Matter Experts
Our courses are created and presented by experienced market professionals with decades of experience in the financial industry. From investment banking and technology to modelling and risk management. They know the terminology, the concepts, and the best practices that are essential for success in this field.
At the same time, they have a thorough understanding of the technical material in the courses they develop and teach, ensuring that you get the most out of your training experience. Whether you're learning about a new technology, a new process, or a new skill, our trainers will guide you through it with ease and confidence.