Analyst, Data Science in UKDT Data & Analytics Team
Leeds, United Kingdom
Full Time Entry-level / Junior Clearance required GBP 25K - 39K
Bank of England
Location: Leeds
Department Overview - UKDT
UKDT Banking Supervision directorate is responsible for the supervision of over 700 banks, building societies and credit unions. Its aim is to contribute to a safe, sound, and competitive UK banking system through delivering effective prudential supervision.
Division Overview - Analytics & Mutuals Division (AMD)
AMD consists of four units:
- Large Building Societies, Small Building Societies, and Credit Unions: Supervises the UK's building societies and credit unions.
- Data & Analytics Team: enables UKDT supervisors to use data effectively, develops data tools, and engages in data/AI projects.
The Data & Analytics Team offers technical data services and collaborates with other UKDT teams to improve supervisory outcomes. It includes:
- Core Data Team: Maintains and develops data tools and thematic analytical outputs to help supervisors and management understand risks.
- Data Science Team: Creates innovative tools and uses new technologies (like Azure Cloud and Databricks) for key projects. Part of a network led by the PRA’s RegTech, Data and Innovation Division (RDID).
The team also works on data quality, improving data culture, and participates in various data and AI related groups.
Job Description
An exciting opportunity has arisen for a Scale G Data Scientist within the Data Science Team. The team comprises of a Senior Data Scientist and two Scale F Data Scientists, dedicated to pushing the boundaries of what's possible.
Your Mission:
- Innovate and Transform: Use innovative data science and AI/ML techniques to enhance UKDT and PRA supervision and regulation.
- Challenge the Status Quo: Collaborate with passionate colleagues to develop UKDT’s data culture and capabilities.
- Drive Impact: Contribute to key data projects that ensure the safety and soundness of the firms we supervise.
What You'll Do:
- Enhance Data-Led Supervision: Support the delivery of tools that contribute to advancing UKDT’s goals and the PRA’s data-driven agenda.
- Collaborate and Create: Work alongside data scientists and build inclusive relationships with end-users including supervisors to implement innovative solutions that meet user needs.
- Cross-Team Projects: Partner with RDID data scientists on projects, data strategy, and innovation.
- Develop and Share Knowledge: Keep up to date with latest data science developments and share knowledge to a range of technical and non-technical audiences.
Your Toolkit:
- Programming Proficiency: Experience with Python, R, SQL, and data visualization tools like R Shiny, Streamlit, Power BI, and Tableau.
- Cloud Experience/Knowledge: Eager to expand your knowledge of Azure and enterprise platforms like PositConnect.
Growth Opportunities:
- Continuous Learning: Access to courses, Bank-sponsored apprenticeships, and industry-recognized certifications (e.g. MS Azure Certifications).
If you're passionate about data science and ready to make a significant impact, we want to hear from you! Join us and be part of a team that's shaping the future of PRA supervision.
What the Data & Analytics Team can offer you:
- Great opportunities to develop a deep understanding of data issues, data tools, data sources, UKDT firms, financial sector, and environment.
- Opportunity to develop technical data skills and data knowledge.
- Exposure to working group meetings across UKDT and project groups across the PRA and engaging with them to meet their needs through the smart and efficient use of data.
- Supportive environment to develop data science and technical skills, through on the job training and enrolling in courses.
- Opportunities to collaborate and learn from other data scientists, through participating in Bank-wide projects, sprints and hackathons.
Role Requirements
Minimum Criteria
- Experience in a role that uses programming languages (Python, R, SQL) to draw insights from large structured and unstructured data.
- Experience visualising/presenting data for stakeholders using data visualisation tools such as (R Shiny, Streamlit, Power BI, Tableau).
- A proactive approach to learning new technologies and advancements in Data Science.
- Good analytical skills and ability to synthesise key messages from data, both in writing and verbally.
- Good inter-personal skills and experience of working in a team.
- Good awareness of software engineering and coding best practices.
Desirable Criteria
One or more of the following would also be desirable. However, we are keen for the applicant to have a willingness to learn new things.
- Knowledge and/or experience with machine learning algorithms, concepts, and packages.
- Knowledge and/or experience with Large Language models.
- Knowledge and/or experience with Microsoft Azure data scientist stack (e.g. Azure ML, Databricks, cognitive services, OpenAI).
- An interest in financial markets and regulation and keenness to learn about financial concepts and metrics.
The salary on offer ranges between £39,120 and £25, 270. In addition, we also offer a comprehensive benefits package as detailed below:
- Currently a non-contributory, career average pension giving you a guaranteed retirement benefit of 1/80th of your annual salary for every year worked. There is the option to increase your pension (to 1/65th) or decrease (to 1/105th) in exchange for salary through our flexible benefits programme each year. The Bank has the discretion to vary standard accrual rates and dial up and dial down rates at any time and to withdraw dial up and dial down options at any time.
- A discretionary performance award based on a current award pool.
- An 8% benefits allowance with the option to take as salary or purchase a wide range of flexible benefits.
- 26 days’ annual leave with option to buy up to 12 additional days through flexible benefits.
- Private medical insurance and income protection.
The Bank of England welcomes applications from all candidates, but as a UK Visas and Immigration (UKVI) approved sponsor, we have a responsibility to comply with the Immigration Rules and guidance. As such, our ability to employ individuals who require sponsorship for immigration purposes is limited. The Bank cannot guarantee that you and / or the role you are applying for will be eligible for sponsorship and that any application made to UKVI will be successful. Eligibility will therefore be considered on a case by case basis.
The assessment process will comprise of two stages. The first stage will be a technical assessment. If successful, you will be invited to an interview.
This role closes on 18th May 2025. Please apply online, ensuring that you complete your work history and answer ALL the application questions fully and in detail as your application will not be considered if all mandatory questions are not fully completed. We are the UK's central bank - and we are a bank like no other; known by our peers for our world-leading thinking on policy and strategy. Our mission is to promote the good of the people of the UK by maintaining monetary and financial stability. We seek to keep prices stable and people's money safe. We know our work matters to people, to families, up and down the UK. We are driven by curiosity and the desire to do important, challenging work. It takes a great team to run the Bank of England. We rely on each other to play our part. We benefit from a collaborative culture and long-established flexible ways of working, supporting our colleagues balance their work and personal lives. We strive to be a place where people feel they belong and have equal access to opportunities, because different perspectives helps us make the best decisions for the public. There's much to gain from working with us - from career defining work at the heart of the UK economy, being part of a fantastic team, and a rewarding compensation package. Join us and find a bank like no other. Together, we can make a difference.
The Bank of England will use and protect the information you provide when you apply for a role with us, in line with our obligations under data protection law. This is so we can assess your suitability for the role and administer your application. If you’re successful we’ll use it to offer you a position and onboard you to join the Bank.
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Tags: Azure Banking Databricks Data quality Data strategy Data visualization Engineering LLMs Machine Learning OpenAI Power BI Privacy Python R Security SQL Streamlit Tableau Unstructured data
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Health care Home office stipend Insurance Medical leave
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