Financial Technologies and AI Lancaster University

Overview

The Financial Technologies and AI course from Lancaster University  is a unique programme that combines classical quantitative finance techniques with cutting-edge developments in financial technology and big data analysis, including machine learning and AI. The curriculum bridges financial theory with practical applications in quantitative trading, risk management, and forecasting. Graduates can pursue prestigious roles such as quantitative traders, risk managers, data scientists, and financial researchers at leading investment banks, hedge funds, and FinTech firms.

This programme will help you build a deep understanding of financial markets and key financial instruments and their pricing techniques. You will learn how to develop and price new financial instruments and quantitatively assess their risks. You will gain expertise in modelling financial processes and will be able to apply this knowledge to empirical asset pricing and risk management.

Career opportunities:

MSc Financial Technologies and AI prepares you for diverse career paths across the global financial sector. Our alumni can target work in prestigious organisations, including:

• investment banks
• hedge funds
• asset management firms
• proprietary trading firms
• fintech companies
• consulting firms
• central banks
• sovereign wealth funds
• pension funds
• research institutes
• financial regulatory bodies

The roles our graduates can pursue include:

• quantitative analyst
• data scientist
• risk manager
• quantitative trader
• investment analyst
• portfolio manager
• algorithmic trading strategist
• financial engineer
• fintech developer
• machine learning engineer
• quantitative researcher
• model developer
• model validation specialist
• cryptocurrency analyst
• high-frequency trading developer

Graduates can also choose to continue into PhD programmes or establish their own fintech ventures.