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- Tasks: Lead a team of analysts to tackle credit risk challenges and support struggling customers.
- Company: Join Octopus Energy, a global leader in renewable energy and innovative tech solutions.
- Benefits: Enjoy flexible salary discussions, a unique culture, and rewarding perks that matter to you.
- Why this job: Be part of a mission-driven team making a real impact in the energy sector during a pivotal time.
- Qualifications: Strong SQL skills, Python experience, and previous management experience are essential.
- Other info: We value your fit over salary; let's find the right match together!
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 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:
- Manage a small team of analysts.
- 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.
- Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc).
- A drive to solve problems using data.
- Experience in a management role.
What would be a bonus:
- 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.
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!
Analytics Manager (Credit Risk) employer: Octopus Energy
Contact Detail:
Octopus Energy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Manager (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 industries. Attend relevant webinars or local meetups to connect with others who work in credit risk; this can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Brush up on your SQL and Python skills, particularly focusing on data analysis and visualisation. Being able to showcase your technical abilities in these areas will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your management experience and how you've successfully led teams in the past. Highlight specific examples where your leadership made a positive impact on project outcomes or team dynamics.
We think you need these skills to ace Analytics Manager (Credit Risk)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Analytics Manager (Credit Risk) position. Familiarise yourself with the key skills mentioned in the job description, such as SQL proficiency and experience with Python data science tools.
Tailor Your CV: Customise your CV to highlight relevant experience in data analytics, management roles, and any familiarity with consumer credit risk or collections. Use specific examples that demonstrate your problem-solving abilities and technical skills.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the energy sector and your understanding of the challenges faced by customers. Emphasise your ability to communicate complex data concepts and your experience in developing strategies for vulnerable customers.
Showcase Your Technical Skills: In your application, be sure to mention your proficiency with the Python data science stack and any experience with data visualisation tools like Tableau or PowerBI. Providing examples of past projects where you've used these skills can strengthen your application.
How to prepare for a job interview at Octopus Energy
✨Showcase Your Data Skills
Make sure to highlight your excellent SQL skills and familiarity with the Python data science stack. Be prepared to discuss specific projects where you've used these tools to solve problems or derive insights.
✨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 demonstrate your understanding of the business.
✨Emphasise Empathy and Customer Focus
Since the role involves working with vulnerable customers, be ready to share examples of how you've approached customer issues with empathy. Discuss strategies you've implemented to support customers facing financial difficulties.
✨Prepare for Technical Questions
Expect technical questions related to data analytics and machine learning models. Brush up on your knowledge of BI tools and be ready to explain how you would develop reporting suites or identify fraud strategies.
