INTRODUCTION

Advances in data science, machine learning and artificial intelligence mean that problems in asset management, algorithmic trading and computational finance can now be tackled with open-source programming tools and packages running on easily scalable infrastructures in the cloud.

Machine Learning algorithms can help asset managers synthesize extremely large data sets and reveal patterns, trends within. Yet few asset managers go further down the path to explore and implement these techniques. Some of the biggest financial institutions, hedge funds and asset management firms are already using Python to implement portfolio management, trading and risk management systems.

While these tools are useful, they cannot replace human judgement. Professionals who are already in the asset management industry can, however, complement their domain expertise with technical knowledge in data science, which will help them to make better, faster decisions in managing their investment portfolios.

LEARNING OUTCOMES: 

1. Apply different machine learning algorithms and deep learning techniques
2. Use the various techniques to build an optimal investment portfolio
3. Use the various Python and Jupyter Notebooks, which can serve as templates and frameworks that can be adjusted to the individual requirements of the participants, for example, with regard to the data that is used

PRE-REQUISITES: 

• This programme is designed to be technical and will deep dive into niche technical capabilities to equip participants with the necessary domain expertise.
• Due to the technical nature of the programme, portfolio managers, data analysts or quantitative analysts who like to understand the various Machine & Deep Learning Algorithm and use these approaches to build optimal investment portfolio.
• Participants should have a good foundation in Python programming or willing to learn the foundation of Python for Finance prior to joining the programme*

*Complimentary preparatory course (online) made available as part of the programme. 

TYPE OF COURSE

Synchronous virtual training

COURSE SCHEDULE (PLANNED FOR 1Q2022)

The programme will be conducted across 10 sessions of 1.5hours classes.

• Thurs, 17 Feb, 4.30pm to 6.00pm (SGT)
• Fri, 18 Feb, 4.30pm to 6.00pm (SGT)
• Thurs, 24 Feb, 4.30pm to 6.00pm (SGT)
• Fri, 25 Feb, 4.30pm to 6.00pm (SGT)
• Thurs, 3 Mar, 4.30pm to 6.00pm (SGT)
• Fri, 4 Mar, 4.30pm to 6.00pm (SGT)
• Thurs, 10 Mar, 4.30pm to 6.00pm (SGT)
• Thurs, 17 Mar, 4.30pm to 6.00pm (SGT)
• Fri, 18 Mar, 4.30pm to 6.00pm (SGT)
• Fri, 25 Mar, 4.30pm to 6.00pm (SGT)

PROGRAMME BROCHURE

Click here to download brochure.

FEE*

IMAS member & Non Member Rates: 3 programmes at $2000.00 per programme.

If you have any queries, please contact IMAS Secretariat at iLearn@imas.org.sg or 6223 7213.

*FTS-Eligible
 
This course is recognised under the Financial Training Scheme (FTS) and is eligible for FTS claims subject to all eligibility criteria being met. Please note that in no way does this represent an endorsement of the quality of the training provider and course.  Participants are advised to assess the suitability of the programme and its relevance to participants’ business activities or job roles. 

The FTS is available to eligible entities based on the prevalent funding eligibility, quantum and caps. FTS claims may only be made for recognised programmes with specified validity period. Please refer to www.ibf.org.sg for more information.