Data Analyst - Credit Risk

Data Analyst - Credit Risk

London Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
Go Premium
O

At a Glance

  • Tasks: Join our credit risk team to analyse data and support customers facing payment struggles.
  • Company: Octopus Energy is a global leader in renewable energy, committed to decarbonising the planet.
  • Benefits: Enjoy flexible salary discussions, remote work options, and perks that truly matter to you.
  • Why this job: Be part of a unique culture where innovation thrives and your contributions make a real impact.
  • Qualifications: Strong SQL skills required; bonus for Python, data visualisation tools, and 2-5 years in credit risk.
  • Other info: We value finding the right fit over rigid salary structures—let's talk about what works for you!

The predicted salary is between 36000 - 60000 £ per year.

This could not be a better time to join Octopus Energy. We are already recognised as a global leader in the fight to decarbonise the planet by revolutionising what’s possible in energy – including investments in renewable energy supply, renewable energy generation, smart energy networks, EVs, heat pumps, etc. The government\’s new green initiatives and the recent investment by Al Gore’s Generation Fund will propel us further and faster. There has never been a more important moment to join our credit risk team. The energy sector is going through a period of once-in-a-generation volatility. Businesses and households are facing higher energy prices than they ever have before. For these reasons we are looking to add to our credit risk team with this new role. This team sits at the heart of everything we do to support customers that are struggling with their bills. We’re unique because we are genuinely a hybrid of a few different skills and mindsets: Data analytics is our core skillset. Everyone in the team is very strong in this area. We have a firm understanding of the needs of our customers and the business. We work closely with the tech team, because we’re a tech company, so this is how we solve customer problems, efficiently at scale. We work closely with our operations teams who are the people that speak directly to customers. What you\’ll do Take ownership of our management of customers who are struggling with their payments. Deep dive investigations into data in order to surface insight for decision making. Develop our reporting suite through the latest BI tools & technology stack. Develop our empathic approaches towards vulnerable customers. Create strategies to identify and prevent first party and third party fraud. Develop our machine learning models & policies that drive sophisticated decisions. Proactively identify new areas of opportunity. Challenge the status quo in terms of KPIs, objectives & strategy. Communicate complex data concepts effectively and confidently. Build great relationships with Data Science, Technology, Finance, Collections, Ops and other stakeholders. What you\’ll need Excellent SQL skills. A drive to solve problems using data. What would be a bonus: Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc). Familiarity with Git. Data visualization tool (Tableau, Looker, PowerBI or equivalent). DBT. 2-5 years experience of consumer credit risk or collections in the financial services, utilities or telecommunications industries. Why else you\’ll love it here Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it\’s something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don\’t advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn\’t apply to Octopus – what\’s more important to us is finding the right octofit! Octopus Energy is a unique culture . An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! Visit our UK perks hub – Octopus Employee Benefits . #J-18808-Ljbffr

Data Analyst - Credit Risk employer: Octopus Energy Group

Octopus Energy is an exceptional employer, offering a unique culture that fosters autonomy and innovation within the rapidly evolving energy sector. As a member of our credit risk team, you'll have the opportunity to make a meaningful impact while enjoying competitive salaries, flexible benefits, and a collaborative environment that prioritises employee growth and development. Join us in revolutionising energy solutions and supporting customers during challenging times, all while working alongside passionate co-owners dedicated to making a difference.
O

Contact Detail:

Octopus Energy Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst - Credit Risk

✨Tip Number 1

Familiarise yourself with the latest trends in credit risk management, especially within the energy sector. Understanding how current market conditions affect customer behaviour will help you demonstrate your insight during interviews.

✨Tip Number 2

Network with professionals in the energy and financial services sectors. Attend industry events or webinars to connect with potential colleagues and learn more about the challenges they face, which can give you an edge in discussions.

✨Tip Number 3

Brush up on your SQL skills and consider working on personal projects that involve data analysis. Being able to showcase your practical experience with data analytics tools will make you stand out as a candidate.

✨Tip Number 4

Prepare to discuss how you would approach empathic strategies for vulnerable customers. Think of examples from your past experiences where you've successfully navigated sensitive situations, as this aligns with the company's values.

We think you need these skills to ace Data Analyst - Credit Risk

SQL
Data Analysis
Problem-Solving Skills
Data Visualisation
Machine Learning
Python (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib)
Business Intelligence Tools (Tableau, Looker, PowerBI)
Data Management
Communication Skills
Stakeholder Engagement
Fraud Detection Strategies
Empathy towards Vulnerable Customers
Adaptability
Collaboration with Cross-Functional Teams

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Analyst - Credit Risk position. Familiarise yourself with the skills mentioned in the job description, such as SQL proficiency and data analytics.

Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your SQL skills, any experience with Python or data visualisation tools, and your understanding of consumer credit risk.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the role and the company. Mention specific projects or experiences that demonstrate your problem-solving abilities using data, and express your enthusiasm for contributing to Octopus Energy's mission.

Showcase Your Analytical Skills: In your application, provide examples of how you've used data analytics to drive decision-making in previous roles. Highlight any experience with BI tools or machine learning models, as these are key components of the role.

How to prepare for a job interview at Octopus Energy Group

✨Showcase Your SQL Skills

Since excellent SQL skills are a must for this role, be prepared to discuss your experience with SQL in detail. Consider bringing examples of complex queries you've written or challenges you've overcome using SQL to demonstrate your expertise.

✨Understand the Energy Sector

Familiarise yourself with the current trends and challenges in the energy sector, especially regarding credit risk. Being able to discuss how these factors impact customers will show your genuine interest in the role and the company.

✨Emphasise Empathy Towards Customers

Given the focus on supporting vulnerable customers, be ready to share examples of how you've approached customer issues with empathy in the past. This will highlight your ability to connect with customers and understand their needs.

✨Prepare for Technical Questions

Expect technical questions related to data analytics and machine learning. Brush up on relevant tools and technologies mentioned in the job description, such as Python, BI tools, and data visualisation techniques, to demonstrate your readiness for the role.

Data Analyst - Credit Risk
Octopus Energy Group
Location: London
Go Premium

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

O
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>