Certificate of completion issued to
Timm Niccolo Schäfer
For completing
AI and Data Foundations for Financial Services Course
Completion date
26 Mar 2025
Delivered by

Accredited for

Certificate ID
91e4fea6293db74d0b452f5bb0b51fae
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About AI and Data Foundations for Financial Services Course
3 Pathways
18 Video modules
4 hours of learning
This comprehensive course combines three expert-led pathways to equip learners with the knowledge and skills to thrive in an AI-driven financial landscape. It covers the essentials of data science and AI in finance, practical applications of machine learning, and the integration of AI into business strategies. By bridging technical understanding with strategic insights, this program prepares participants to lead data-driven transformations responsibly and effectively.
In this course
Understand AI, data science, and machine learning fundamentals.
Explore practical applications of AI in finance.
Build strategies for ethical and effective AI adoption.
Navigate regulatory and governance challenges.
Drive innovation and improve operational efficiency.
Course experts

Hans-Kristian Bryn
35 years: Strategic risk management and governance
Hans-Kristian Bryn is a strategic risk and governance advisor with over 20 years of partner level advisory experience. He is currently a senior advisor to Boards and ExCo's listed on the FTSE 100 & FTSE 250 on risk management and governance related matters. Prior to private advisory, Hans was a partner at firms such as Oliver Wyman and PwC and worked across a wide range of sectors.

Carlos Salas
Portfolio Manager and Data Scientist
Carlos Salas is a professional investor passionate about the lifelong development of an investment process that blends man and machine. Over the last 15 years, he has worked in investment roles for firms such as Santander AM, BNP Paribas, Jefferies, and LCAM. He is currently pursuing three careers simultaneously - as an investment manager, consultant and lecturer.
Elizabeth Stanley
Data Scientist and Engineer: 10 years
Elizabeth Stanley is a dynamic engineering innovator, with a specialisation in Bioengineering, with a robust background in research, teaching. She excels in embedded systems, computational modelling, with a proficiency in data analysis, visualisation and machine learning. She currently serves as the Head Facilitator and Program Lead at ExploreAI Academy and she is very dedicated to advancing bioengineering and data science, actively engaging in groundbreaking research and empowering the next generation of African engineers and data scientists through comprehensive education and mentorship.
Matt Lewis
Data Consultant: 5 years
Matt Lewis works as a consultant in the data space for 5 years, after he moved from the academic world to the world of data. He has helped clients in several domains, and with varying degrees of digital and data maturity, get to grips with their data and find ways to extract business value from it. Currently, as a program lead at Sand Technologies, he focuses on guiding a UK-based client in the water/wastewater sector, developing a value proposition for prospective clients, and mentoring junior managers in product development. His work involves collaborating with stakeholders up to the Director level to enhance business processes through data-driven solutions. He also holds a doctoral degree in Zoology and Animal Biology from the University of Cape Town.
Paul dos Santos
5 years: Senior AI Engineer
Paul dos Santos is a data professional with over a decade of experience, currently working as a Senior AI Engineer for Imagimob (an Infineon company). With a background in Geographic Information Science, he has developed AI systems across various industries, including consulting, manufacturing, social impact, and healthcare, using advanced data science techniques.