Certification in Machine Learning for Quantitative Finance
What You Gain from the Certification
The Certification prepares attendees for decision-making roles in financial engineering, quantitative risk management, and quantitative investing.
The program develops the analytical clarity to structure problems correctly and the independence to move from theoretical formalization to practical implementation.
Career impact
- Qualify for advanced quantitative roles across the financial industry.
- Operate independently and creatively on complex quantitative problems.
- Build critical judgment to avoid modeling pitfalls that carry financial consequences.
Tangible outcomes
- Certification in Machine Learning for Quantitative Finance, plus a Statement of Completion for each course (7 in total).
- 40 GARP CPD credits per course - 280 credits in total.
- Lifetime access to the ARPM Lab, a 4,000-page living e-textbook with code, animations, and an AI tutor.
Structure
The Certification is organized into two complementary tracks:
- Machine Learning - focused on statistical and machine learning methods (4 courses)
- Quantitative Finance - focused on financial engineering, risk management, and portfolio construction (3 courses)
The two tracks can be followed in any order and attended individually, depending on your background and objectives.
Courses in track “Machine Learning”
The courses in this track cover in depth the Machine Learning topics in the Lab, learn moreabout the Machine Learning track .
Courses in track “Quantitative Finance”
The courses in this track cover in depth the Quantitative Finance topics in the Lab, learn moreabout the Quantitative Finance track .
For participants who want to refresh their knowledge or prepare for a smooth progression through the core courses, each Track also includes Primers, which cover the respective topics in the Lab, learn moreabout the Primers .
The Primers are free of charge, self-paced, and optional.
Certification by the Numbers
Schedule and Delivery
The program starts twice a year, in September and February. Each track takes 5 months to complete, with courses following a specific sequence.
Each course is organized into scheduled units with two live one-hour classes per unit and recordings available for all sessions. Each unit includes a homework assignment, and each course concludes with a practical project, reviewed and graded by instructors.
All learning takes place in the ARPM Lab - a 4,000-page e-textbook with code, animations, and an AI tutor.
What is included
Lab
All the study/practice materials for the Certification are accessible online and constantly updated in the ARPM Lab .
E-Textbook
Upon attaining the Certification in Machine Learning for Quantitative Finance you qualify for lifetime access to the ARPM Lab.
Support
- Live lectures and Q&A sessions with the Instructors
- Q&A Theory and Code forums, constantly monitored
- Hand graded homework
Networking
Share your journey with top institutions worldwide, who chose ARPM for their Advanced Corporate Program .
Flexibility
You can switch in and out of a course and continue where you left at a later time.
Instructors
See what our alumni say
Learn Moreabout the reviewsThe Certification has thousands of Alumni from around the world, including industry leaders and academics.
Our alumni hold key positions at leading organizations across the world, including Bank of America, Barclays, Merrill Lynch, J.P. Morgan, HSBC, Deutsche Bank, Bank of China and Bloomberg.