Data Analyst - Credit Risk
Data Analyst - Credit Risk

Data Analyst - Credit Risk

London Full-Time 28800 - 43200 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Dive into data to support customers struggling with payments and develop innovative reporting tools.
  • Company: Join Octopus Energy, a leader in renewable energy and sustainability initiatives.
  • Benefits: Enjoy flexible salary discussions, a unique culture, and rewarding perks that matter to you.
  • Why this job: Be part of a team making a real impact in the energy sector during a pivotal time.
  • Qualifications: Strong SQL skills and a passion for problem-solving with data; bonus for Python and data visualisation experience.
  • Other info: Recognised as one of the best companies to work for in 2022, with a focus on employee empowerment.

The predicted salary is between 28800 - 43200 £ 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:

1 . Data analytics is our core skillset. Everyone in the team is very strong in this area

2 . We have a firm understanding of the needs of our customers and the business

3 . We work closely with the tech team, because we’re a tech company, so this how we solve customer problems, efficiently at scale

4. 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! We won best company to work for in 2022, on Glassdoor we were voted 50 best places to work in 2022 and our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We’ve also been placed in the top 10 companies for senior leadership
  • Visit our UK perks hub – Octopus Employee Benefits

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Data Analyst - Credit Risk employer: Energy Vault

At Octopus Energy, we pride ourselves on being a forward-thinking employer that champions innovation and sustainability in the energy sector. Our unique culture fosters autonomy and collaboration, allowing our employees to thrive while making a meaningful impact on customers facing financial challenges. With a commitment to employee growth, competitive salaries, and a range of perks that truly matter, joining our credit risk team means becoming part of a dynamic organisation recognised as one of the best places to work.
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Contact Detail:

Energy Vault 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 volatility affects 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 building relationships with various stakeholders, such as Data Science and Operations teams. Highlighting your collaborative mindset will resonate well with the team-oriented culture at Octopus Energy.

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

SQL
Data Analysis
Problem-Solving Skills
Data Visualisation
Machine Learning
Communication Skills
Stakeholder Management
Empathy towards Customers
Technical Aptitude
Python (pandas, NumPy, Jupyter notebooks)
Familiarity with Git
Experience in Consumer Credit Risk
Business Intelligence Tools (Tableau, Looker, PowerBI)
Adaptability
Strategic Thinking

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your data analytics skills, particularly in SQL, and any experience you have with consumer credit risk or collections. Use specific examples to demonstrate your problem-solving abilities using data.

Craft a Compelling Cover Letter: In your cover letter, express your passion for the energy sector and how your skills align with the role. Mention your understanding of customer needs and your ability to communicate complex data concepts effectively.

Showcase Relevant Projects: If you have experience with Python, data visualisation tools, or machine learning models, include these in your application. Highlight any projects that demonstrate your ability to derive insights from data and develop strategies.

Research Octopus Energy: Familiarise yourself with Octopus Energy's mission and values. Understanding their unique culture and recent initiatives will help you tailor your application and show your genuine interest in joining their team.

How to prepare for a job interview at Energy Vault

✨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 how you've used SQL to solve specific problems in previous roles.

✨Demonstrate Problem-Solving with Data

The role requires a strong drive to solve problems using data. Be ready to share specific instances where you've used data analytics to identify issues and implement solutions, especially in the context of credit risk or customer payments.

✨Understand the Business and Customer Needs

Familiarise yourself with Octopus Energy's mission and the current challenges in the energy sector. Be prepared to discuss how your analytical skills can help address customer needs, particularly for those struggling with payments.

✨Communicate Complex Concepts Clearly

You will need to communicate complex data concepts effectively. Practice explaining technical ideas in simple terms, as you may need to present your findings to stakeholders who may not have a technical background.

Data Analyst - Credit Risk
Energy Vault
E
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