Data Analyst - Credit Risk

Octopus Energy; London; Hybrid; GBP 60,000 - 65,000; Full time

Job summary

Octopus Energy is seeking a Credit Risk Analyst to join their team. This role involves analyzing customer payments, improving reporting processes with BI tools, and developing strategies for assisting vulnerable customers. If you're passionate about using data to make a positive impact, apply now!

Qualifications

• 2-5 years experience in consumer credit risk or collections.
• Excellent problem-solving abilities using data.
• Familiarity with BI tools like Tableau, Looker, or PowerBI.

Responsibilities

• Manage customers struggling with payments.
• Conduct data investigations to inform decisions.
• Develop reporting suite using BI tools.

Skills

SQL

data analysis

Tools

Python

Tableau

PowerBI

Job description

London (GB)

Octopus Energy UK – Credit /

Full-time /

Hybrid



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

• 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
  
  
  

£0 - £0 a year

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Utilities and Environmental Services

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