Data Analyst - Credit Risk (Lead)

Energy Vault; London; On-site; GBP 50,000 - 70,000; Full time

Job summary

Join a leading company in the energy sector as part of the credit risk team, managing analysts and tackling customer payment difficulties. You will leverage your data skills to enhance reporting and insights, addressing vulnerabilities and developing advanced models for improved decision-making.

Qualifications

• 2-5 years experience in consumer credit risk or collections.
• Excellent SQL skills and proficiency with the Python data science stack.
• Management experience required.

Responsibilities

• Manage a small team of analysts and enhance reporting suite.
• Conduct deep dive investigations into data.
• Develop machine learning models for decision-making.

Skills

SQL

Python

Data Analytics

Problem Solving

Management

Tools

Tableau

PowerBI

Git

Job description

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 is central to supporting customers struggling with their bills. We are unique because we combine several key skills and mindsets:

• Data analytics as our core skillset, with everyone in the team being highly proficient in this area
• A strong understanding of customer needs and business priorities
• Close collaboration with the tech team to solve customer problems efficiently at scale
• Partnership with operations teams who communicate directly with customers

What you'll do

• Manage a small team of analysts
• Take ownership of managing customers facing payment difficulties
• Conduct deep dive investigations into data to surface insights for decision making
• Enhance our reporting suite using the latest BI tools and technology stack
• Develop empathetic approaches towards vulnerable customers
• Create strategies to identify and prevent fraud (first-party and third-party)
• Develop machine learning models and policies for sophisticated decision-making
• Proactively identify new opportunities
• Challenge the status quo regarding KPIs, objectives, and strategy
• Communicate complex data concepts clearly and confidently
• Build strong relationships with Data Science, Technology, Finance, Collections, Operations, and other stakeholders

What you'll need

• Excellent SQL skills
• Proficiency with Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc.)
• A passion for solving problems using data
• Management experience

Bonus skills

• Familiarity with Git
• Experience with data visualization tools (Tableau, Looker, PowerBI, or equivalent)
• Experience with DBT
• 2-5 years experience in consumer credit risk or collections within financial services, utilities, or telecommunications

Why you'll love it here

• Salary details: Discussed during the call; we offer flexibility to match your experience and ensure the right fit.
• Our culture: A unique environment where learning, decision-making, and building happen quickly, with autonomy and ownership. Recognized as a top employer with awards and positive culture podcasts.
• Visit our UK perks hub - Octopus Employee Benefits

£0 - £0 a year