Data Analyst in Credit Risk

Описание:

Octopus Energy works to advance the global renewable energy transition through renewable energy supply and generation, smart energy networks, electric vehicles, and heat pumps. Its credit risk team supports customers struggling with their bills and works with technology and operations teams to address customer problems.

Задачи:

• Take ownership of managing customers who are struggling with payments
• Investigate data to surface insights for decision-making
• Develop the reporting suite using the latest BI tools and technology
• Develop empathetic approaches to vulnerable customers
• Create strategies to identify and prevent first-party and third-party fraud
• Develop machine learning models and policies that drive sophisticated decisions
• Proactively identify new areas of opportunity
• Challenge existing KPIs, objectives, and strategy
• Communicate complex data concepts effectively and confidently
• Build strong relationships with Collections, Operations, Technology, Finance, and other stakeholders

Требования:

• Excellent SQL skills Drive to solve problems using data 2–5 Years of data analytics experience in a consumer-facing business
• Будет плюсом: Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc.), Git, data visualization tools such as Tableau, Looker, or Power BI, dbt

Условия:

The salary is flexible and discussed with a recruiter; the company does not advertise it The application process usually takes up to 4 weeks and may be adjusted to accommodate the candidate The company offers accommodations and can customize the interview process The company is an equal opportunity employer and does not discriminate on the basis of any protected attribute AI tools may be used to assist with parts of the hiring process, but hiring decisions are made by a person

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