Build systems that change how markets understand sports.
Explore how you could contribute to an early-stage project across applied AI, high-velocity data, market infrastructure and product design. Team-building plans remain subject to confirmation.
Work where applied AI, real-time data and market systems meet.
EX Group brings together problems that are usually separated: streaming sports data, calibrated models, market and portfolio systems, and interfaces that explain uncertainty clearly.
Intelligence systems
Build data pipelines, model evaluation and explanation systems that turn live events into useful decision context.
- AI engineering
- Data science
- Model operations
Market infrastructure
Develop reliable services for pricing, orders, portfolios, exposure and operational controls.
- Backend engineering
- Quant research
- Risk systems
Product clarity
Design interfaces that make probability, evidence, change and risk understandable without hiding complexity.
- Product design
- Product engineering
- Research workflows
How we intend to work
Operating principles matter more than generic culture language.
Make assumptions visible
Document what we believe, what we know and what could change.
Test before scaling
Use evidence to decide when a model, product or system is ready.
Plan for recovery
Build systems and workflows that can be inspected and restored.
Work across disciplines
Translate clearly between research, engineering, markets and design.
Different backgrounds can solve the same hard problem.
Relevant experience may come from machine learning, distributed systems, quantitative research, fintech, sports data or product infrastructure.
“We value clear thinking, technical depth and the ambition to build infrastructure that lasts.”
Where exceptional builders can contribute.
Engineering
Build reliable intelligence and market systems at the intersection of research and production.
Relevant work includes data contracts, reproducible evaluations, reliable service boundaries and clear operational tooling. A useful introduction explains a system you have built, the trade-offs you made and how you tested its behavior under imperfect conditions.
- AI Engineers
- Backend Engineers
- Data Scientists
Markets and product
Translate complex market mechanics into useful, trusted experiences for a global audience.
We are interested in how complex decisions become understandable products: clear terminology, careful defaults and meaningful feedback. These areas describe team-building interests; confirmed vacancies, location and employment terms would need separate confirmation.
- Quant Researchers
- Product Designers
- Product Engineers