At a Glance
- Tasks: Develop and maintain machine learning models for customer lending decisions.
- Company: Join Capital One, a top-rated workplace committed to innovation and diversity.
- Benefits: Enjoy competitive pay, flexible working, and access to extensive training programmes.
- Other info: Collaborative culture with excellent career growth opportunities and supportive networks.
- Why this job: Make a real impact in the finance sector while working with cutting-edge technology.
- Qualifications: Strong stats background, coding skills in Python, and a passion for data science.
The predicted salary is between 63000 - 77000 £ per year.
Location: Nottingham - Hybrid
Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote.
About the Role
Our Data Science team focuses on the development of machine learning and AI solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to make sense of complex data, working in close collaboration with our business partners.
This role will primarily focus on critical business challenges in underwriting; developing and maintaining the models used to make customer lending decisions. We are interested in candidates who have a deep grounding in statistics and experience of Model Risk Management. Experience of working with Open Banking or Credit Bureau data is also welcomed.
What you’ll do
- Develop and maintain the models used by our key underwriting programs.
- Explore and evaluate data using advanced feature generation and categorisation techniques, in order to stay at the forefront of innovation.
- Consult on complex statistical test design, to efficiently learn our way into new areas of the market.
- Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions, working cross-functionally to support key business initiatives and drive sustainable growth.
What we’re looking for
- A strong understanding of probability, statistics, machine learning, feature extraction and familiarity with large data set manipulation.
- Familiarity with Open Banking or Credit Bureau data.
- Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies.
- Experience of Model Risk Management; technical documentation, coding best practices, the importance of validation and ongoing monitoring.
- Natural curiosity and proactive engagement with all areas of the business, with a desire to ask questions, challenge the status-quo and identify where Data Science can add value.
- Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form.
- A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions.
Where and how you'll work
This is a permanent position based in our Nottingham office. We have a hybrid working model, so you’ll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you.
What’s in it for you
- Bring us all this - and you’ll be well rewarded with the role contributing to the roadmap of an organisation committed to transformation.
- We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers).
- Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave.
- Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms.
What you should know about how we recruit
We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages.
We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few:
- REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies.
- OutFront – to provide LGBTQ+ support for all associates.
- Mind Your Mind – signposting support and promoting positive mental wellbeing for all.
- Women in Tech – promoting an inclusive environment in tech.
- EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry.
Capital One is committed to diversity in the workplace.
Who We Are
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 - Model Developer / Statistician in Loughborough employer: Capital One Group
At Capital One UK, we pride ourselves on being an exceptional employer, offering a dynamic hybrid work environment in Nottingham that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and mentorship, while our inclusive culture ensures that every voice is heard and valued. Join us to be part of a forward-thinking team that embraces cutting-edge technology and drives impactful change in the financial sector.
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We think this is how you could land Data Scientist - Model Developer / Statistician in Loughborough
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We think you need these skills to ace Data Scientist - Model Developer / Statistician in Loughborough
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