About Quantum:

Quantum is a Group of companies located in London, ranging from an elite high-level security consultancy that provides technology to key UK government buildings, to an FCA regulated company that partners with the likes of Monzo and Starling Bank providing automated cashback to its >50,000 users. It is a fast-paced innovator made up of talented individuals who are each empowered to make key contributions to the Group’s success.

With most of the products at a critical stage, it’s an exciting time to join our journey and grow with us as the Group scales its reach and capabilities. If you have the ambition, drive and dedication to contribute to the Group’s journey, you’ll be rewarded with a wealth of opportunities to learn and develop.

At Quantum, you’ll join a highly ambitious team of skilled individuals who love to collaborate and challenge one another to produce the best result possible.

About the data analytics team:

Quantum are in the early stages of constructing core, elite teams at Group-level to drive key capabilities across the different products to maximise their potential. The data analytics team is one of these key teams, which will be at the heart of decision making for each product within the Group.

This team will be responsible for providing key insights across the entire Group to maximise each product’s potential and inform decision making. This includes combating financial crime, understanding our current customers’ behaviours and optimising customer acquisition through quantitative analysis of marketing strategies.

About this role:

This is a hands-on position where you will need to leverage your analytical mindset to find solutions to complex problems. Working closely with our Head of Product and the various product managers across the Group, you will understand what the problems are and be given autonomy in analysing and finding the solutions, translating the data into actionable insights that will shape the direction of this exciting Group of companies.

We are looking for confident self-starters who will disrupt our normal way of working and pioneer the future of how we use and learn from our data.

Key responsibilities include:

  • Working closely with product managers to ensure product KPIs are met throughout the lifecycle of a product.
  • Use analysis to deep dive into user behaviours and proactively identify and prioritise opportunities for product improvements.
  • Extract useful product insights from large data sets
  • Build/maintain reports, dashboards, and metrics to monitor the performance of our products
  • Opportunity to innovate and explore, really owning the process of the exploration of our data sets in a collaborative environment
  • Apply statistical methods to develop analytic models

Requirements:

  • Minimum 2:1 degree (or equivalent) in a quantitative discipline (e.g. Maths, Physics, Economics, Engineering, Computer Science)
  • Experience in a quantitative analysis role, ideally working closely with product teams (e.g. data analyst, product analyst, data scientist)
  • You are fully proficient in Python/SQL
  • You enjoy solving complex problems
  • Experience working in a fast-paced environment
  • Able to explain complex things easily, including to non-technical stakeholders
  • You can manage multiple stakeholders with competing priorities
  • Ability to work well independently and as part of a team

Desired:

  • Previous experience working with data visualisation tools
  • Experience in a fintech, start-up or fast-growing company

Benefits:

  • Competitive salary
  • Quarterly reviews, including compensation package, to reward commitment and results
  • Private health insurance
  • Personal training budget for your continued development
  • 25 days holiday plus bank holidays (33 days in total), rising to 28 after 3 years (36 days in total)
  • As we are results driven, we advocate flexible working if the results are delivered


Diversity:

Quantum is an equal opportunity employer, celebrating diversity and are committed to creating an inclusive environment for all employees.