Hello, we're IG Group. We are a publicly-traded FTSE250 FinTech company who run mobile, web and desktop platforms that help our clients trade stocks & shares, leveraged products, Futures & Options and Crypto. We are ambitious. Over 340,000 people already use our platforms. We're global with offices in 18 countries and products in 16 regions. We're hungry to move faster, ship better product for our customers and grow our user base. We believe in high autonomy, and we want people who are looking to do things differently in order to create better experiences for our customers. We work in cross-functional teams and are laser focused on increasing the number of active clients we serve to drive sustainable growth.
Your team
IG's data and analytics function develop and implement data strategy to drive business growth, improve operational efficiency, and enhance decision-making across the organisation.
Your role in the Team's Success
Lead IG's data and analytics function, developing and implementing data strategy to drive business growth, improve operational efficiency, and enhance decision-making across the organisation.
What you'll do
- Define and execute IG's data strategy, governance, and analytics roadmap
- Lead a team of data scientists, analysts, and engineers
- Oversee the development and maintenance of data infrastructure, pipelines, and tools
- Drive data-driven decision making across the organisation
- Establish data governance policies and best practices
- Identify opportunities to leverage data for business growth and operational improvements
- Collaborate with product, marketing, and technology teams to implement analytics solutions
- Ensure compliance with data privacy regulations and security standards
What you'll need for this role
Key Qualification Requirements:
- 10+ years of experience in data and analytics with at least 5 years in leadership roles
- Strong background in data science, business intelligence, and analytics
- Experience building and scaling data teams and infrastructure
- Deep understanding of data modeling, warehousing, and visualisation techniques
- Knowledge of machine learning and AI applications in financial services
- Strong technical skills with experience in modern data stack technologies
- Excellent communication skills with ability to translate complex data concepts for non-technical audiences
- Bachelor's degree in Computer Science, Statistics, or related field; advanced degree preferred
How we work
We try to take a thoughtful approach to our ways of working as a company. We follow a hybrid working model with 3 days in the office -- which we think balances the need to collaborate effectively and connect with each other. When it comes to how we deliver, there are 5 things we want everyone to do to drive high performance, better learning and career satisfaction:
- Lead and Inspire: Drives trust, alignment, and enthusiasm
- Think Big: Focus on the problems that most impact commercial outcomes
- Champion the client: Understand and prioritise client's needs
- Deliver at pace: Push for fast, sustainable growth
- Raise the bar: Take ownership, be accountable and share feedback
We believe that diversity is vital to success, it fuels creativity, drives innovation and sets us up for global success. We're committed to building teams with a variety of perspectives and skills to help us realise our vision and strategy, that's why we encourage applications from people with diverse backgrounds and experiences to join us on this journey.
