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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
Job Responsibility:
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 empathic approaches towards vulnerable customers
Create strategies to identify and prevent first party and third party fraud
Develop and own 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 Technology, Finance, Collections, Ops and other stakeholders
Requirements:
Excellent SQL skills
Excellent Python skills
Familiarity with version control systems (e.g. git)
A drive to solve problems using data
Understanding the basics of machine learning and statistics
Python data science stack (pandas, sklearn, numpy etc)
2+ years of experience in a hands-on role
Nice to have:
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
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