The #1 platform for data & AI learning in financial services
Upskilling a small team? Get started today
Why financial services leaders choose DataCamp
Hands-on, applied learning people love
DataCamp curriculum is designed to move learners from knowledge to application, fast. That means your teams are practicing with real-world data and scenarios (not just learning theory).
Upskilling for every role
Actuaries, underwriters, risk managers, data scientists, executives, and more all build the data and AI skills they need with DataCamp—from baseline fundamentals to the state-of-the-art.
Always up to date, expert-curated content
Where open marketplaces leave you to sift through noise, DataCamp delivers focus. Get curated curricula built by experts and continuously updated for real-world relevance.
Enterprise-grade security and control
DataCamp delivers enterprise-ready admin tools, usage analytics, and integrations with your existing systems, all built to meet the security and governance standards FSI demands.
Trusted by leading FSI firms worldwide
“For Allianz, working with DataCamp wasn’t about teaching coding to everyone. It was about embedding the belief that problems are solved best through data and AI literacy for better overall decision-making.”
5,900%
program growth from pilot to full Academy
91 hours
Average time saved per year per employee using new skills
Generative AI in the Enterprise with Steve HoldenAdel and Steve explore opportunities in generative AI, use-case prioritization, driving excitement and engagement for an AI-first culture, skills transformation, governance as a competitive advantage, and much more.
Developing Financial AI Products at Experian with Vijay MehtaRichie and Vijay explore the impact of generative AI on the finance industry, the development of Experian's Ascend platform, the challenges of fraud prevention, education and compliance in AI deployment, and much more.
![[PRIVATE] JPMorgan (dark)](https://media.datacamp.com/cms/jpmorgan-dark.svg?w=384){kind=small}
Telling Data Stories for Humans in the Age of AITelling data stories effectively in the age of AI is essential for engaging audiences and driving business impact.
“If I can save someone five minutes an hour ... because I've taught them a basic step in Power Automate or I've moved all of their work from a complex Excel sheet to a Power BI dashboard—five minutes more per hour is so powerful.”
20–40%
weekly time savings with staff upskilled in modern reporting processes
“Upskilling on data and AI allows our people to understand, explore, and analyze data using state-of-the-art processes and tools. This enables better and faster decision-making, enhancing our time-to-market response with innovative products, solutions, and customer-centric approaches.”
60+
custom learning tracks rolled out
700+
employees upskilled in Python, SQL, Power BI, and data literacy
“Upskilling isn’t about teaching people to code. It’s about helping them turn up differently in their role.”
Transformation Team Manager at Financial Conduct Authority
A glimpse into tailored data and AI curriculum for financial services professionals
Explore sample learning paths built for roles across the financial services industry.
Learners earn CPE credits with DataCamp
Data and AI skills in action across financial services
DataCamp partners with leaders across financial services to go beyond the curriculum, sharing real-world applications of data and AI. Hear directly from industry experts, from practitioners to executives, at top financial institutions.
How Generative AI is Transforming Finance
Andrew explores GenAI's impact on finance, AI tool accessibility, product development efficiency, AI governance, data quality, and the cultural and regulatory shifts shaping AI's future.
Scaling Experimentation at American Express
Adel and Amit explore the importance of experimentation at American Express, the pillars that feed into a culture of experimentation, frameworks for building successful experiments, robust experiment design and much more.
Machine Learning in Production with Python
Walk through a simple machine learning example on banking data, including feature engineering, training a model, making predictions, and assessing model performance.
Inside Algorithmic Trading with Anthony Markham
Richie and Anthony discuss algorithmic trading, machine learning in strategies, handling large datasets, and risk management.
Using Synthetic Data for Machine Learning & AI in Python
Discover synthetic data, how it protects privacy, and how it's being used to accelerate AI adoption in banking.
Scaling AI Adoption in Financial Services
Former group CDO at Standard Chartered Bank deep dives into scaling AI adoption throughout financial services.
Turn data and AI into your competitive advantage in financial services
Upskilling a small team? Get started today