Data Analyst - Credit Risk

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 customersWhat 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
  
  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