Quantitative Finance and Risk Management

Analise data, develop algorithms, prototype and validate computational finance models

Risk modeling is commonly used by financial institutions to detect, assess, control, and monitor risk. Risk professionals use mathematical risk models and statistical methods to determine the impact of risk, accelerate regulatory submission, improve capital allocation, and enable additional risk-based service offerings.

The most influential institutions in the world rely on MATLAB® software developed by MathWorks to streamline the model risk management process, calculate interest rates, carry out stress tests, manage portfolios worth multiple billions of dollars, and execute complex trades in a fraction of a second.

MATLAB enables financial institutions to increase productivity, reduce costs, and comply with regulatory expectations for managing their models.

Engineers use our products to:
  • Build dashboards for portfolio managers, with intraday risk reporting, trade execution, and validation capabilities
  • Run risk and portfolio analytics prototypes faster than in Visual Basic, R, and Python
  • Automatically create documentation required for model review and regulatory approval
  • Use prebuilt tools to debug models and visualize intermediate results
  • Deploy protected by intellectual property models directly to desktop and web applications such as Excel, Tableau, Java, C++, and Python.
  • Import and leverage historical and real-time market data from paid and free sources
  • Manage large amounts of big and streaming data coming from various data sources

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Products
Matlab
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Simulink
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Datafeed Toolbox
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Statistical and Machine Learning Toolbox
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Parallel Computing Toolbox
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Deep Learning Toolbox
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Database Toolbox
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Econometrics Toolbox
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Financial Toolbox
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Financial Instruments Toolbox
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Risk Management Toolbox
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Spreadsheet Link (for Microsoft Excel)
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Trainings

Quantitative Finance and Risk Management Curricula

  • Fixed-Income Curriculum

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  • Econometrics Pricing and Valuation Curriculum

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  • Energy Trading Curriculum

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  • Equity Investment Management and Trading Curriculum

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  • Reinsurance and Insurance Curriculum

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  • Algorithmic Trading Curriculum

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  • Credit Risk Management with MATLAB

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    • Blogs and user stories

    Stay up to date with the industry's latest trends and learn the best pactices to innovate and optimize your engineering designs.


    The Business Benefits of Modeling and Simulation

    The Business Benefits of Modeling and Simulation

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    AI: Driving the Industry Towards Greater Success

    Artificial intelligence (AI) is seen as a promising technology that can help leading OEMs to maintain their position as market leaders. In this post, read about how AI is changing the manufacturing sector, as well as its potential advantages and potential drawbacks.

    MATLAB and Simulink for Artificial Intelligence

    Learn about MATLAB and Simulink’s capabilities for creating AI-driven products and services, including the benefits of using these platforms, key components of the AI workflow, and the integration of AI models into real-world applications.

    Deep Learning with MATLAB

    Today we are living in a renaissance of artificial intelligence, Machine Learning, and Deep Learning, and everyone wants to be a part of this movement. But the question is if you interested in using deep learning technology, where do you begin?