Careers
We Are Currently Recruiting For These Positions:
Internship – Ecosystem Acceleration & Communications
You will support the Lab’s ecosystem acceleration and communications efforts globally, contributing to key initiatives such as conducting in-depth research, developing impactful content, coordinating events and community engagements, and mapping the suptech landscape to identify opportunities for innovation and collaboration.
Expertise: Communications, research, content writing, events.
Start date: As soon as possible
Duration: 6 months, with an aim to extend
Level of effort: Full-time position (open to discuss part-time arrangements for exceptional candidates)
Location: Remote / worldwide
Technical Assistance Lead
You will drive the implementation of the Lab’s advisory portfolio globally, overseeing the entire project lifecycle, including diagnostics, development of proofs of concept and prototypes, and the design of digital transformation roadmaps and strategies.
Expertise: Financial services, Data science, Design Sprints, Strategy
Start date: As soon as possible
Duration: 12 months, with an aim to extend
Level of effort: Full-time position
Location: Remote / worldwide, with preference for Cambridge, UK or New York, USA
Senior SupTech Specialist – Technical Assistance
You will lead engagements with financial authorities providing advisory services that will involve diagnostics, development of proofs of concept and prototypes, and the design of digital transformation roadmaps and strategies.
Expertise: Financial services, Data science, Design Sprints, Strategy
Start date: As soon as possible
Duration: 12 months, with an aim to extend
Level of effort: Full-time position
Location: Remote / worldwide, with preference for Cambridge, UK or New York, USA
Secondment opportunities with the Cambridge SupTech Lab
A bespoke secondment opportunity allowing you to apply your skills to support the delivery of an efficient, transparent, and sustainable financial ecosystem.
Expertise: Financial Services, Digital Transformation, Data Science, Lean Prototyping, Research, Project Management and/or Learning Development
Start date: Rolling basis
Duration: 2 – 12 months
Level of effort: 20 – 40 hours per week
Location: Remote / worldwide