FinTech Futures Jobs: Three ways AI is changing fintech jobs
Artificial intelligence (AI) is undoubtedly a hot topic right now, both in the fintech sector and the wider financial services arena, with many companies looking at new ways to adopt and utilise AI to improve their offerings and processes.
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So, what does that mean for those working within the sector? According to recruitment firm Robert Walters, AI is expected to create 133 million new jobs globally over the next few years. Separate data from the World Economic Forum’s The Future of Jobs Report 2023 estimates that AI and machine learning specialists are among the fastest-growing jobs.
Below, we’re highlighting three ways AI is both changing existing fintech jobs and creating new ones.
1. Data science
Once upon a time, data scientists discovered trends through tirelessly running through numbers. But thanks to AI, more tedious tasks can now be automated and patterns in large datasets can be identified in a matter of seconds.
This means data scientists are now more likely to work on predictive modelling techniques, opening up the job market for those with machine learning expertise.
The even better news is that AI won’t replace data scientists as interpreting analytics requires critical thinking and communication skills – soft skills that only humans can provide… for now.
2. Data breaches and cybersecurity threats
Cybersecurity remains an ongoing concern among businesses, despite the fact that London ranks as the European leader in cybersecurity.
In fact, according to an Ipsos report in collaboration with the Department for Digital, Culture, Media and Sport (DCMS), 51% of all private sector companies in the UK are unable to fully deal with cybersecurity threats due to a shortage of staff proficient in cybersecurity.
As a result, AI-powered cybersecurity tools are essential for fintechs so threats and risks can be identified in real time.
3. Customer service
One area that has fuelled the ‘human versus robot’ debate is customer service, and whether chatbots will replace humans dealing with consumer queries altogether.
While the jury is still out on that one, prompt engineering has emerged as one of the most in-demand skills.
According to Bloomberg, current salaries for prompt engineers in the US start at $230,000 and go up to $335,000, and OpenAI has launched its own ChatGPT Prompt Engineering for Developers course to equip software developers with the tools needed to work within the field.
So, are you ready to make your mark in this emerging area? The FinTech Futures Job Board is the perfect place to start your search. It features thousands of jobs at fintech companies that are actively hiring those with machine learning expertise, like the three below.
Senior Machine Learning Scientist, Monzo, London
As a Machine Learning Scientist, you’ll be working in an ever-changing environment to build and iterate financial crime defence capabilities.
As part of your job, you’ll work closely with product managers, data scientists, backend engineers, designers and researchers in an agile product environment.
You’ll champion the use of data and machine learning techniques, bring ideas to life through rigorous experimentation and A/B testing and get the most out of large volumes of data stored on a modern, cloud-native data platform by spotting opportunities to boost financial crime prevention.
Senior Data Scientist (Research), Lendable, London
Lendable is the market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Data science sits at the heart of this USP, with staff developing the credit risk models to underwrite loan and credit card products.
As a Senior Data Scientist, you will experiment with the latest deep learning techniques combined with a rich data repository to build and deploy risk models and develop proprietary machine learning models combining state-of-the-art techniques with a variety of data sources that inform scorecard development and risk management and optimise marketing and pricing.
See the full job description here.
Senior Data Scientist – Chat Advisor, Cleo, London
Cleo is hiring a Senior Data Scientist to join a collaborative team of 10 dedicated data scientists, machine learning engineers and analysts with significant industry experience to help the company better understand users’ finances.
As such, you’ll actively build and produce classifiers, implement and utilise GPT to continue developing the company’s personalised AI assistant and find opportunities for model and product improvements in Cleo’s extensive datasets of chat conversations, spending patterns and app interactions.
For hundreds more opportunities across fintech, visit the FinTech Futures Job Board today.
