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Data Scientist - Cyber

The role

Apply Job ID R96685 Location: London
White Collar Factory (95009), United Kingdom, London, London

At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.                                               

Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Data Scientist - Cyber

Threat modeling is the practice of examining software and systems from the design phase forward,  identifying and eliminating insecure patterns before they manifest in production code. This ensures that software and systems continue to evolve securely as new features are added. Capital One aims to fully embed threat modeling across the software delivery lifecycle, ensuring that all our software is measurably secure by design. As part of that initiative, we aim to develop software tools to enable engineers to threat model.

As a data scientist working in the Enterprise Threat Modeling team, you’ll be delivering data-driven tools that empower engineers to threat model. These tools aim to capture and track all threat modelling activity across the enterprise, delivering on our mission to provide meaningful measurements of the quality and value of threat models. The features you will be adding to our tooling ecosystem will aim to drive down the cost of threat modeling to engineering teams, while also driving up the quality and visibility of the threat models that are produced.

About the role

  • Establishing key metrics for threat model quality and designing visualisations and dashboards that provide meaningful and actionable insights for users

  • Using data collected from the user interface to understand key areas of friction for the user

  • Leveraging NLP technology to automate the discovery of architectural constructs and patterns in use for a project that is being threat modeled from issue trackers, code repositories and wiki pages

  • Building a threat recommendation engine; automating the suggestion of relevant threats, based on the similarity of an architecture to other known architectures

  • Working with structured and unstructured data from a variety of sources including APIs, object stores, and relational and non-relational databases

  • Working with front-end and back-end engineers to deliver analytic products from inception to production

  • Driving best practices and improvements across the enterprise

About you

  • You value high quality and secure code with good documentation and full test coverage

  • You’ll be experienced with Python and the data science ecosystem including Pandas, Numpy, scipy, scikit-learn, NLTK etc

  • Knowing how to use linked data and semantic web technologies for building knowledge graphs and building recommendation engines will be within your sweet spot 

  • You’ll be someone who seeks customer and stakeholder feedback on your work and strives to use that feedback to improve the features you deliver

  • Capable of producing data pipelines using tools such as Airflow and are able to build APIs for exposing analytics to other consumers

  • Familiar with Agile and Scrum working practices 

  • Naturally curious, you’ll enjoy learning new technologies and staying at the edge of technology, bringing new ways of thinking, practices and technology to a team

Any experience of these would be great 

  • Leveraging Python frameworks for backend API services

  • Using javascript for front-end visualizations and dashboards

  • Modern DevOps practices, including CI/CD processes, and associated technologies such as Jenkins and Artifactory

  • Working in a Cloud environment, AWS is highly desirable

  • Containerization technologies like  Docker or Kubernetes

  • Developing Cyber security focused applications, tools and services

Capital One is committed to diversity in the workplace.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


The benefits


Live a healthy life with our private health insurance which is free for your family.


Stay in shape with our on-site gym in Nottingham and rooftop running track in London.


Work-life balance is important to us. So, we are open to flexible working to support your lifestyle.


We are able to support you with relocation if needed. And we offer an interest-free travel ticket and stock purchase plan.


You'll get access to vast amounts of internal and external conferences and a dedicated internal training platform.


We are proud to support our local tech communities with various meet-ups and events for you to get involved in.

Cyber at Capital One

The UK Cyber team is part of the bigger US Cyber enterprise. This means that the UK Cyber team benefits from small company agility with big company resources.

As one of the UK’s top ten credit card providers, keeping our millions of customers safe is vital to our business. For a Cyber professional like you, that means an opportunity to make a difference, learn and grow.

We’re making finance simpler and more human. So our cutting-edge products need to work for our consumers as well as being super secure.

In Cyber at Capital One, we do things at a fast pace in a CI/CD environment. We’re not a normal financial services company constrained by a fixed mindset and legacy systems.

We’re an AGILE business that dreams big and has the resources to deliver big (our largest systems are already 100% in the Cloud). We’re doing whatever it takes to protect our customers; the smartest new people, new technologies, new products, new ideas, new ways of thinking and working.

We invest in our Cyber team, using leading edge tech, our in-house Tech College and external training to keep the team ahead of the curve.

We play an active part in the wider community, hosting Cyber MeetUps at our offices in London, and sponsoring, promoting and attending Cyber events throughout the year.

Find out more about Capital One here.

"The Capital One UK Cyber business benefits from small company agility with big company resources."

Dicky Stafford, Director of Cyber Engineering

Life at Capital One

We’re a financial services company with a tech mindset that runs throughout the business, setting us apart from others in the industry.

Are you the right fit?

  • You see opportunities to innovate and disrupt where others see obstacles and hurdles. You tell others how they can do something rather than telling them why they can’t.

  • You can convince, explain and reassure people at all levels, from business managers to developers.

  • You have an appetite to learn and enjoy the challenge of doing things that haven’t been done before (data streaming, machine learning). You apply rigorous engineering sense to deliver robust business servicing applications.

  • You’re not afraid to challenge the status quo.

Success profile

  • A passion for learning and innovating 

    A lot of what we do is new, so you’ll learn by immersing yourself in the wider community, developing yourself and your team along the way.

  • High quality work 

    We work in a rapidly changing business, so you’ll need a focus on delivering high quality work at a fast pace. Doing the right thing quickly is good; quick and dirty just won’t cut it.

  • Team player 

    We have a ‘wade in and help’ mindset in Cyber. You’ll thrive on getting stuck in. You’ll give your own opinions, share your experiences and perspectives, and listen to those of colleagues. In doing so, you’ll learn and help others in the team learn from you.

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