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Relay Technologies

Tech-enabled on-demand e-commerce delivery network

Quantitative Researcher - Optimisation

Quantitative FinancePosted on Nov 9
Full-timeLondon, UKNo salary listedHybrid

About the Job

Requirements

  • Bring deep expertise in operational research, demonstrated through a PhD, publications, or years of frontier industry experience.
  • Have a background in operational research, industrial engineering, or an advanced quantitative discipline, including trading, with experience branching into optimisation.
  • Have built optimisation systems or machine-learning models that run in production and have owned their outcomes.
  • Be able to structure large, complex problems.
  • Collaborate effectively and explain complex ideas simply.

Responsibilities

  • Lead optimisation for Relay's last mile by making routing, pricing, and scheduling decisions for couriers and the wider network.
  • Model and optimise decisions that define the last-mile delivery network and marketplace.
  • Develop solvers and algorithms for live, large-scale performance.
  • Partner with other Scientists to combine machine learning and recommender systems with Operational Research.
  • Raise the standard for Operational Research at Relay and help grow the team, research culture, and Relay's voice in the tech community.

About the Company

Relay Technologies

Tech-enabled on-demand e-commerce delivery network

Relay Technologies provides a tech-enabled, on-demand delivery network designed for e-commerce, offering next-day delivery with a focus on efficiency and lower carbon impact. Its API-first platform connects an on-demand fleet of couriers through a hyperlocal network to optimize routes, track parcels in real time, and give retailers end-to-end visibility via interactive dashboards. Unlike traditional carriers, it minimizes touchpoints and infrastructure needs, cutting costs while adapting to demand fluctuations. The company aims to help online retailers scale their delivery capabilities reliably and sustainably, supporting faster shipping, real-time insights, and reduced environmental impact.

Company size
201-500
Company stage
Series A
Total funding
$45M
Headquarters
London, United Kingdom
Founded
2022

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