Certified Computational Finance Professional (CCFP)

The Certified Computational Finance Professional (CCFP) program is an advanced certification designed to equip individuals with specialized knowledge and expertise in the field of computational finance. Computational finance is a dynamic and rapidly evolving field that combines finance, mathematics, and computer science to develop sophisticated models and algorithms for financial analysis and decision-making. The CCFP program offers a comprehensive curriculum covering financial modeling, quantitative analysis, risk management, and software development, ensuring that graduates are well-prepared to excel in roles that demand precision and proficiency in computational finance.

Certification Program Objectives:

Upon completing the Certified Computational Finance Professional (CCFP) program, participants will be able to:

  • Financial Modeling: Master advanced financial modeling techniques and tools to analyze complex financial data and make informed decisions.
  • Quantitative Analysis: Develop strong quantitative analysis skills, including statistical analysis, time series forecasting, and risk assessment.
  • Risk Management: Understand and apply risk management principles and methodologies to mitigate financial risks effectively.
  • Software Development: Acquire proficiency in programming languages commonly used in computational finance, such as Python and R.
  • Derivatives and Structured Products: Gain expertise in derivatives pricing, structured products, and financial engineering.
  • Portfolio Management: Learn portfolio optimization strategies and asset allocation techniques to maximize returns while managing risk.

Certification Requirements:

  • Bachelor’s Degree


  • 2 – 5 years of relevant work experience

Certifying Examination:

  • To be certified as CCFP, student should take up a 1.5 hours online exam conducted by AIBM.
  • The qualifying exam would consist of 50 multiple choice questions, testing core certification modules.
  • Professionals with relevant experience and other qualifying criteria may be exempted from the examination.

Certification Modules:

  1. Financial Modeling and Valuation
  2. Quantitative Analysis for Finance
  3. Risk Management in Computational Finance
  4. Software Development for Financial Applications
  5. Machine Learning in Finance
  6. Algorithmic Trading and High-Frequency Finance

* The modules of the certification are constantly updated and are subject to change.

Who Should Do This Certification:

The Certified Computational Finance Professional (CCFP) certification is highly beneficial for professionals across various roles and industries, including:

  • Financial Analysts: Individuals looking to enhance their quantitative and modeling skills to make better financial decisions.
  • Quantitative Analysts: Professionals working in quantitative roles who want to specialize in computational finance.
  • Risk Managers: Risk management experts seeking to expand their knowledge of quantitative risk assessment and mitigation.
  • Data Scientists: Data professionals interested in applying their data analysis skills to financial markets.
  • Software Developers: Programmers and developers looking to specialize in financial software development and modeling.
  • Financial Engineers: Those involved in designing and creating financial products, derivatives, and structured products.
  • Portfolio Managers: Investment professionals responsible for managing investment portfolios.
  • Consultants: Individuals providing consultancy services in quantitative finance, risk management, and financial modeling.

Earning the CCFP certification signifies your expertise in computational finance, a skill set that is in high demand in the finance industry. Whether you work in finance, risk management, data science, software development, or investment management, this certification equips you with the knowledge and skills needed to excel in the complex and dynamic field of computational finance, enabling you to make more informed financial decisions and contribute to the success of your organization.