Finance

AI in Finance

Discover the AI innovations driving the world of finance and invest in a competitive edge for your finance career

Chelsea Murray Profile Photo

Chelsea Murray

Data Scientist at ING Germany, MPhil in Machine Learning from Cambridge University

Secure your place
Introductory
15-19
3.5 hours
Online

A winning investment - elite professional insights to upgrade your finance career

Today’s global financial services rely on the collection and interpretation of high volumes of data, making them the perfect partner for Artificial Intelligence. Machine learning models can predict whether debit card transactions are fraudulent, Apple Pay powers its Face ID with deep learning – you can even get advice from Erica, Bank of America’s finance chat bot.

Finance institutions are rapidly embracing the benefits of AI to automate tasks, mitigate risk, detect fraud, and analyse investor sentiment to forecast changes in the market. Finance professionals who invest in machine learning skills are set to be highly-valued and the opportunities for career profit have never been greater.

Expert insight
Elite Instruction

Get an expert, insider guide to the dynamic world of finance today

Drive demand
Financial Insights

Discover the trends shaping the future of finance

Mentorship
Expert Guidance

Learn how AI skills could prove valuable in different finance sectors

Real world challenges
Practical Learning

Benefit from hands-on tasks and real-life scenarios

Open industry doors
Insider Advice

Gain first-hand insight into an exciting range of financial career paths

Unique advice
Executive Career Coaching

Pick up career tips and advice from finance experts

Specialist network
Valuable Contacts

Build a network of current and future finance professionals

Discover future
Get Ahead of the Curve

Give your university applications and career pathway a competitive edge

Chelsea Murray Profile Photo

Meet our guest expert

Chelsea Murray

Data Scientist at ING Germany, MPhil in Machine Learning from Cambridge University

Chelsea is a Data Scientist with a leading global financial services company. She has public and private sector experience in the finance industry, including with the European Central Bank, and has a BSc in Maths and Finance and an MPhil in Machine Learning and Machine Intelligence. Chelsea is committed to developing and delivering smart, data-driven solutions that help organisations maximise the value of their data.

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/What to expect

An insider’s guide to the potential of AI in finance

Hosted by a finance expert, our workshop introduces you to the world of AI in finance and its ever-increasing range of applications, from predicting share performance to preventing money laundering. Explore the benefits of developing AI skills and gain valuable experience for a successful and challenging career in finance.

Learn practical AI skills first hand

The workshop gives you first-hand experience of developing a machine learning model to predict the probability of price moves in financial markets. You’ll learn about the steps involved in creating machine learning models (data cleaning, data wrangling, model building, model performance analysis etc) and how these are deployed in finance. You’ll develop a deeper understanding of why AI skills are so valuable for finance professionals.

Exclusive access to finance experts

Our guest professionals are ready to share their experiences of working across financial services and discuss the transformative role tech and AI plays in their field. They’ll answer your questions and offer valuable advice on starting out and progressing within your chosen area of finance.

/Workshop timetable

13.30

Welcome

Meet your instructor and get a brief overview of the day’s activities.

13.40

AI in Finance

Review real-life case studies and explore current and future applications of AI in finance.

14.05

AI and Machine Learning

Take a closer look at the workings of AI and specific machine learning algorithms, and explore hot topics in finance including self-directed learning and machine cognition.

14.30

Build your skills

Get practical, hands-on experience training a machine learning algorithm to predict the probability of price moves in financial markets.

15.30

Prepare for a career in finance

Add to your practical experience as you gain an understanding of the tools and programming languages needed for different finance roles and the best career routes to develop your machine learning skills.

16.00

Panel Q&A

Ask our experts – get the answers and advice you need to get ahead.

/Requirements

A PC or Mac (laptop or desktop)

Zoom to access the workshop

A stable internet connection

“I appreciate the edge the workshop will give me when it comes to future competitive internship applications.”

Dan Everett
Epsom College

/Upcoming workshops

There are no workshop dates currently scheduled.

/Frequently asked questions

Skills Gap is a careers accelerator that runs insightful workshops for young people to give them a competitive edge in their future studies and career. We offer a range of intensive workshops designed specifically for students and delivered to small groups by experienced industry experts.

The workshop is specifically designed for students aged 15 to 19 who are looking for a career in finance, and want to understand more about how AI is influencing the industry and the machine learning skills that can support differing career paths in financial services. It aims to give you a head start before you begin university or take any other route into the sector.

Not at all. The workshop has been created with beginners in mind, and has been designed to give you an overview of AI in finance today and to introduce you to basic machine learning skills.

Essential hardware
You will need a PC or Mac (laptop or desktop) which has at least 8GB of RAM and runs Windows 10 or Mac OS 10.11 or later.

Essential software
You will need Zoom. If you have not used it before, you can create a free account and download the app for your phone, tablet or computer.

Recommended
Google Chrome, Firefox and Safari provide the best tested web browsers for the Google Colab activities.

We also highly recommend a second screen. This will allow you to quickly and easily move between the various activities.

(While a tablet, smartphone or Chromebook can be used as a second screen, we don’t recommend you use these on their own for the workshop.)

We use Zoom. It is free, easy, allows everyone to be on camera and mic at the same time, and features intuitive presentation and learning tools, like collaborative white boards and break-out rooms for group work.

You also need a Google account to upload the files into your online workspace for the practical session.

We will send you a Zoom link via email shortly before it starts.

You will need a stable internet connection capable of supporting video conferencing. We recommend using a wired ethernet connection with a download speed of at least 4Mbps and an upload speed at least 1Mbps (preferably 3.8Mbps).

If you have not been able to find out what you need from the information on this page, please email our friendly team at hello@skillsgap.tech.

/ Find your future in tech

Our Careers Guide lifts the lid on what employers are looking for. We explore how to build a balanced skills profile that blends qualifications, tech know-how, emotional intelligence and a growth mindset – to give you a competitive advantage.