Senior Analyst in AMD

Bank of England; Leeds; On-site; GBP 45,000 - 75,000; Full time

Job summary

An established industry player is seeking a Senior Analyst to join their innovative Data & Analytics Team. This role offers the opportunity to lead data-driven projects that enhance regulatory supervision and contribute to the safety of the financial sector. You'll collaborate with passionate colleagues, utilizing advanced data tools and programming languages to deliver impactful insights. The position promises growth through continuous learning and exposure to a variety of data challenges, making it ideal for those eager to make a significant impact in the banking industry.

Benefits

Continuous Learning Opportunities

Access to Bank-Sponsored Studies

Supportive Environment for Skill Development

Opportunities to Coach and Mentor

Qualifications

• Experience leading analytical projects and delivering data insights.
• Ability to manipulate and visualize data from various sources.

Responsibilities

• Lead data projects to enhance supervision and regulation.
• Collaborate with teams to implement innovative data solutions.

Skills

Analytical Leadership

Data Manipulation (Python, R, SQL)

Data Visualization (R Shiny, Streamlit, Power BI, Tableau)

Project Management

Interpersonal Skills

Tools

Python

R

SQL

R Shiny

Streamlit

Power BI

Tableau

Job description

Join to apply for the Senior Analyst in AMD role at Bank of England

This range is provided by Bank of England. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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.

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 F Senior Analyst within the Core Data Team. The team comprises a Scale E Manager, two Scale GP Data Analysts, and a HP Data Science Apprentice, all dedicated to the delivery and improvement of data tools, thematic insights, and analytical outputs to drive forward data-driven supervision.

Your Mission:

• Innovate and Transform: Lead on data projects to enhance UKDT and PRA supervision and regulation by delivering data insights.
• 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: Lead the delivery of data tools, thematic, and analytical outputs that contribute to advancing UKDT's goals and the PRA's data-driven agenda.
• Collaborate and Create: Lead workstreams incorporating data analysts, data scientists, and build inclusive relationships with end-users including supervisors and technical specialists to implement innovative solutions that meet user needs.
• Cross-Team Projects: Lead and partner on data projects, data strategy, and innovation.
• Develop and Share Knowledge: Lead on the latest data analysis, data science, and data-driven supervisory developments and share knowledge to a range of technical and non-technical audiences.

Your Toolkit:

• Senior Analytical leadership: Experience of leading on the delivery of analytical tools, outputs, and insights to stakeholders.
• Data tools proficiency: Experience with manipulating data via programming languages such as Python, R, SQL, and creating and using data visualization tools like R Shiny, Streamlit, Power BI, and Tableau.

Growth Opportunities:

• Continuous Learning: Access to courses, Bank-sponsored studies.

If you're passionate about data analysis, leadership, and are 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 lead on data analysis projects and 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 technical skills, through on-the-job training and enrolling in courses.
• Opportunities to coach, mentor, and line manage.

Role Requirements

Minimum Criteria

• Experience of an analytical role that requires leadership of workstreams and the delivery of data tools, insights, thematic analysis, and analytical products to meet stakeholder needs.
• An analytical mindset, able to question and manipulate data from different sources to identify and interpret patterns, produce thematic insights, and identify areas requiring further investigation.
• Use of programming languages (Python, R, SQL) to draw insights from large structured and unstructured data and deliver data to stakeholders in line with their needs.
• Experience of visualizing/presenting data for stakeholders using data visualization tools such as R Shiny, Streamlit, Power BI, Tableau.
• Experience of managing complex projects with multiple stakeholders.
• Excellent analytical skills and ability to synthesize key messages from large datasets, both in writing and verbally.
• Excellent interpersonal skills and experience working in a team.

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.

• An understanding of financial institution business models, financial instruments, reporting, and markets.
• Understanding of topics relevant to supervision (such as capital, credit risk) and/or some experience of banking regulation and data.
• Awareness of the regulatory data and the associated IT landscape, including content and processes, best practice, and current challenges.
• A proactive approach to learning new technologies and advancements in analysis, AI, and Data Science.