Certificate in Machine Learning for Quantitative Finance
1-year advanced professional learning program
| Next start | September 23, 2026 |
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What You Gain from the Certificate
The Certificate 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
- Certificate 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 Certificate 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 more
Mathematical Statistics for Finance
Linear Mean-Covariance Learning
Probabilistic Machine Learning
Time Series and Reinforcement Learning
Courses in track “Quantitative Finance”
The courses in this track cover in depth the Quantitative Finance topics in the Lab, learn more
Financial Engineering
Portfolio and Enterprise Risk Management
Portfolio Construction and Trading
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 more
The Primers are free of charge, self-paced, and optional.
Mathematics Primer
Finance Primer
Python Primer
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 spans 6 weeks - two live one-hour classes per week, with 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 Certificate are accessible online and constantly updated in the ARPM Lab
E-Textbook
Upon attaining the Certificate 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 moreThe Certificate 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.