AI & Machine Learning in Financial Services

Machine learning and artificial intelligence are radically going to change the decision making processes in financial institutions. They will impact investment signals in asset and wealth management. They will influence how people analyse concentration, scenario and operational risks. In addition, we will know clients much better than we currently do, leading to a more bespoke, though industrialised service. Our machine learning and AI in finance training course builds a strong foundation in AI, big data, and machine learning to allow you to make better decisions using these evolving techniques. This short course is intended to provide you with an overview of the plethora of techniques of Machine Learning and Deep Learning specifically designed and implemented in a portfolio and risk management context.

Machine Learning and AI have been with us for longer than most of us would imagine - and well before banking apps, PFMs and chat bots were in all the news, but it's only recently that their application and importance to banking and financial services has come to the fore.

Whether it is back, middle or front office machine learning plays a key role across the financial services industry from fraud detection to the lending process, asset management to risk assessment, regulatory compliance and beyond.

The vast amount of highly accurate live and historical data held by financial institutions are valuable assets, but they are not being fully understood or exploited in decision making processes. As new fintech entrants enter the market focusing on customer experience and build out predictive capabilities, it is now more important than ever to understand where the potential threats are coming from and where the opportunities to partner, collaboration or compete lie.

We'll explore these technologies, business use cases, case studies and key learnings in order to give you a solid grounding in AI, big data, and machine learning as well as help you understand the potential to apply them in your own organisation.

Some of the areas we'll cover include:

• Portfolio management
• Algo trading/Robo advisory
• Loan underwriting
• Risk management
• Fraud detection
• Regulatory compliance
• Automation
• Machine Learning
• Neural Networks
• Predictive Analysis
• Probabilistic reasoning

Executives in the financial services industry, including members of the exchanges and regulatory agencies, and professionals who make business decisions that affect the firm's financial results.

• Decision makers
• Portfolio managers
• Risk managers
• Wealth management
• Pension fund managers
• Insurance companies

Morning - Learning goals:

• Credit scoring and loan underwriting (Europe case study)
• Remote sensing and supply chain risk management (China case study)
• Blended finance solutions in agribusiness (East-Africa case study)

Afternoon - Risk management and credit: How to use AI for efficiency in risk rating:

• Compliance in Corporate Governance
• Systematic Investing

Welcome to Imperial College Business School, part of one of the world’s leading universities. Our elite status is recognised by our rare triple accreditation from The Association to Advance Collegiate Schools of Business (AACSB), Association of MBAs (AMBA) and European Quality Improvement System (EQUIS). We offer world renowned Postgraduate and Executive Education programmes as well as undergraduate studies for students from other disciplines. Our postgraduate offering includes MBA, Masters and Doctoral programmes as well as our recently launched Global MBA which offers a blended learning experience utilising innovative online teaching tools. By combining cutting-edge thinking and insight with new technology and a research-led approach, we are able to provide our students and staff with an inspirational environment with the aim of developing innovative solutions to real world issues.

Our position in central London, one of the world’s most important financial and cultural centres, continues to attract a high calibre of international students and staff which enhances the global learning experience. It also allows access to leading global organisations and industry experts, providing opportunities for high profile guest lectures and powerful corporate partnerships. Our continuously growing Alumni network currently has 12,000 members in over 125 countries.