Credit Risk Data Analyst

Barclay Simpson; City Of London; Hybrid; GBP 45,000 - 60,000; Full time

Job summary

A well-established financial services organization in London seeks a Data Analyst to enhance data analytics capabilities. The role involves supporting modernization projects, embedding tools like Power BI and Python, and producing management reports. Ideal candidates will have a strong data analysis background, preferably in financial services, and a degree in a STEM field. This position offers a chance to work in a collaborative and supportive analytics team.

Qualifications

• Strong background in data analysis, ideally within financial services.
• Advanced knowledge of Power BI and Python.
• Motivation to broaden your skills with SAS and SQL.

Responsibilities

• Supporting modernization projects across analytics, data visualization, and insight.
• Embedding Power BI, Python and automation into the team's workflow.
• Producing regular management reporting and ad-hoc analysis for senior stakeholders.

Skills

Data analysis

Power BI

Python

SAS

SQL

Education

Degree in STEM or equivalent experience

Job description

Overview

Credit Risk Data Analyst – Risk & Analytics

Are you passionate about turning data into insight that drives smarter decisions? I am looking for a Data Analyst to join a growing risk and analytics team at a well-established financial services organisation. This is a fantastic opportunity to develop and enhance your technical expertise, working on projects that modernise data analytics and support data-driven decision making at the heart of the business.

What you’ll be doing

• Supporting modernisation projects across analytics, data visualisation and insight.
• Embedding Power BI, Python and automation into the team’s workflow to deliver sharper analysis and MI.
• Producing regular management reporting and ad-hoc analysis for senior stakeholders.
• Helping migrate legacy tools (SAS) into modern data platforms.
• Contributing to data governance objectives, working cross-functionally with colleagues across the business.

What we’re looking for

• Strong background in data analysis, ideally within financial services.
• Advanced knowledge of Power BI and Python, with the ability to present clear and engaging insights.
• A degree (STEM preferred) or equivalent experience.
• Motivation to broaden your skills with SAS and SQL as needed.
• Interest in financial and risk concepts, with the drive to keep learning.
• A collaborative mindset, with strong communication skills and a proactive approach.

Why join?

You’ll be part of a diverse and supportive analytics team, with the chance to work on a broad range of projects—from day-to-day MI reporting to modernisation initiatives shaping the future of data in risk management. You’ll gain exposure across the business, building relationships with colleagues at all levels, while growing your technical expertise in a collaborative and flexible environment.