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Eager to start your career with the Global Leaders in Fraud Detection? Apply for our 2022 Software Engineer Graduate Scheme now

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The Scheme

Are you a recent graduate looking to get your start in Software Engineering? Do you want to solve real-world fraud problems for some of the globe’s biggest organisations, using some of the most exciting technology on the market? Help our Engineering Team fight financial crime worldwide through our year-long graduate scheme based at Featurespace HQ in Cambridge.

Our Scheme gives graduates a taste of 3 different areas of our Engineering function. Each rotation is 4 months in length and can be chosen from the teams below.

Joining small, supportive, and friendly teams, you’ll have plenty of opportunities to learn and grow as Engineers, as we learn and grow as a company.

You’ll be paid £35,000 per annum and will be eligible for our full range of benefits, including flexible working options, fridges packed full of edible treats and drinks for lunches and snacks, free weekly takeaways at our Cambridge office (think pizza, Thai, pasta, Korean BBQ and much more!) and an invite to our amazing company socials!

For more info on Life at Featurespace and our benefits, take a look here. 

The Teams

Through our Scheme, you'll have a chance to rotate through 3 of our Engineering teams. Check out the applicable teams below:

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DevOps

Development Operations are responsible for the technology and tools to ensure the scalability and maintainability of the ARIC platform, while also ensuring operational reliability - particularly in the context of major 'state change' operations. This covers, for example, ensuring ARIC can be easily configured, deployed and upgraded by our customers. The team is responsible for the ARIC Installer, much of the diagnostics tooling, and parts of the CI build system.

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Data Infrastructure

The Data Infrastructure team own the ARIC real-time/batch event ingestion components, integrated monitoring system and various third-party components, to ensure optimal system performance. The team is also responsible for a variety of general platform tooling and downstream functionality including the asyncoutput framework and reporting.

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Analytical Engine

This team creates the technology that powers our real-time analytical platform, a high- performance distributed computing framework to allow our customers to operate Featurespace- and customer-managed analytics over large volumes of data.

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Tactical Engineering

Works on short/medium term projects that don’t fit within the medium/long-term plans of other engineering teams. These are typically customer focused and time-sensitive, and frequently involve integration with third party or customer systems.

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UI

The UI team creates the visible (front-end) face of ARIC, allowing the platform to be easily navigated by our customers, enabling them to manage their deployed analytics and to perform incident management to detect fraud effectively and quickly. - The UI Client submits user requests to the UI Server which maintains an abstraction layer to other platform components and data stores.

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Plug & Play

Responsible for ensuring the "deliverability" of ARIC as a platform. Acting as an interface for Delivery teams to report on problems with installations or upgrades, implementing new features within the ARIC platform to support management of things like configuration and providing frameworks and best practices for other Engineering teams to use when making sure new features are deliverable

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MLops

Responsible for pushing our analytics and machine learning into new areas, productising research that comes out of our data science teams and making the machine learning used by our platform top of its field.

Our Values

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To tell the truth – kindly

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To strive for innovation and brilliance at all times

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To be proactive, personal and professional

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To be empowered to take the right decision for the customer, always

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To be generous to our colleagues, clients and contacts

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To keep the fridges full

Learn from the Best

Award-winning technology

As a winner of two Queen’s Awards for Enterprise, at Featurespace you’ll work with industry-leading experts to build and implement real-world applications of machine learning and Adaptive Behavioral Analytics. You’ll be solving exciting fraud problems for world-leading organisations in financial services, gaming, and insurance.

Develop and grow your experience

Get exposure to a broad range of skills, technologies, and business areas. Put theory into practice – see your creations getting used at global scale, in real situations, to solve real problems. As you progress, our experts will train and mentor you, challenging you to learn new skills and helping you to pinpoint where exactly you want to focus your own career path.

Join our fun, enthusiastic team

Featurespace brings new insights through new ways of treating data, but we are very much a human company, not just a tech company. Winners of the 2021 Business Culture Award for Culture in a Crisis and awarded two stars in the Best Companies survey for ‘outstanding’ team engagement, our focus on culture is a big part of what makes us unique.

About You

  • A degree from a university in a scientific or numerate discipline, g. Computer Science, Physics, Mathematics, Engineering, or other STEM-related subject
  • Ability to read and write code fluently, with strong skills in one or more programming languages (Java or Python preferred)
  • Good awareness of algorithms and data structures
  • In-depth familiarity with computers and technology
  • Passion to learn new technical skills
  • Ability to handle multiple concurrent projects

 

Great to haves include:

  • Github (or similar) profile
  • Experience of NoSQL databases – g. MongoDB
  • Experience with Linux, source control, and SQL
  • Code profiling and performance tuning
  • Cloud platforms and automation
  • Modern IDEs and continuous integration systems
  • Web services – HTTP API development
  • Experience with message queues – g. Apache Kafka
  • Experience working on a reasonable size software project, either as a side project or as part of a degree course
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“At Featurespace I am completely independent, trusted and at the forefront of innovation, working for one of the most cutting edge companies.”

 

Araliya – Head of Financial Crime

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Fight fraud through our Software Engineering Graduate Scheme

You’ll work within small teams to design large-scale, real-time distributed architectures, deliver new features (from specification, through development, QA and into final deploy), provide input into future technology development, and support your code throughout its lifetime on our grad scheme.

As the scheme comes to an end, graduates have the opportunity to specify their preferred team to join permanently, and we will do our best to place them in the most suitable role.

Apply now for our 2022 Graduate Scheme!

Apply Now

Want to be part of an innovative, forward thinking team to beat fraud? Apply today or get in touch with any questions