Python applications in financial services
About the course
This expert-led learning event will equip participants with the practical skills and knowledge to effectively use Python in a variety of financial risk settings.
Participants will explore the many features of Python and practical use cases within financial markets, including data analysis and library creation. With a hands-on Python tutorial at the end of each day, this dynamic course will provide participants with the opportunity to apply the theory shared in the main sessions, as well as engage in live interaction and questions with the course expert.
By the end of the course, participants will have learned the necessary tools to facilitate successful programming, data considerations and backtesting in line with best market practice in the financial industry.
Pricing options:
- Early-bird rate: save up to $800 per person by booking in advance*
- 3-for-2 rate: save over $2,000 by booking a group of three attendees*
- Subscriber reward: save 30% off the standard rate if you are a Risk.net subscriber*
- Season tickets: cost-effective option for groups of 10 or more. Learn more
*T&Cs apply
Learning objectives
- Master the basics and fundamentals of Python
- Visualise data libraries using different programmes
- Identify the types of financial data used for analysis
- Discuss the key considerations for creating a trading strategy
- Recognise the behaviour of foreign exchange around major data events
- Develop skills of Python use through tutorials and case studies
Who should attend
Relevant departments may include but are not limited to:
- Financial data
- Python
- Data analysis
- Machine learning
Pre-reading materials
The Risk.net resources below have been selected to enhance your learning experience:
- Adjoint differentiation for generic matrix functions - Read article | Risk.net
- Banks adopt Python for faster XVA data analysis and pricing - Read article | Risk.net
- Machine learning for categorization of operational risk events using textual description - Read article | Risk.net
A Risk.net subscription will provide you access to these articles. Alternatively, register for free to read two articles.
Enquire about:
- Agenda and registration process
- Group booking rates
- Customisation of this programme
- Season tickets options
Accreditation
This course is CPD (Continued Professional Development) accredited. One credit is awarded for every hour of learning at the event.
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