Job Search and Career Advice Platform

Enable job alerts via email!

Credit Risk Modelling Analyst

Centrica Plc

Stockport

On-site

GBP 40,000 - 55,000

Full time

2 days ago
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

An energy provider in Stockport is seeking a Credit Risk Modelling Analyst to develop a new Credit Risk function. This role entails analyzing customer data to identify trends, enhancing collections strategies, and generating actionable insights utilizing advanced analytical tools like Databricks, Python, SQL, and Power BI. Candidates should have a numerate degree and experience in Credit Risk, with strong communication skills. This position offers a chance to impact the company’s transition to a greener future.

Benefits

Flexible rewards
Support for family needs
Career growth opportunities

Qualifications

  • Strong experience in Credit Risk, ideally within a regulated industry.
  • Ability to leverage data from Credit Reference Agencies for analysis.
  • Proven ability to translate complex datasets into clear insights.

Responsibilities

  • Analyse customer behavioural data for trends and patterns.
  • Evaluate collections strategies and provide actionable insights.
  • Detect early risk indicators through advanced data analysis.
  • Develop reports on debt performance for strategic decisions.

Skills

Numeracy
Attention to detail
Credit Risk experience
Analytical platforms proficiency
Communication skills

Education

Degree in a statistics or similar numerate discipline

Tools

Databricks
Python
SQL
Power BI
Microsoft Excel
Job description

Join us, be part of more.

We’re so much more than an energy company. We’re a family of brands revolutionising how we power the planet. We're energisers. One team of 21,000 colleagues that energises a greener, fairer future by creating an energy system that doesn’t rely on fossil fuels whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion, and more potential. That’s why working here is #MoreThanACareer. We do energy differently - we do it all. We make it, store it, move it, sell it, and mend it.

About your team:

At British Gas, our mission is to sell it and mend it.

We’ve been powering the UK’s homes and businesses for over 200 years – but supplying energy is just part of what we do. We’re making the UK greener and more energy efficient, getting closer to Net Zero. By using clever tech like thermostats, heat pumps, solar panels and EV chargers, we’re making it cheaper and easier for our customers to reduce their carbon‑footprint.

We are seeking a talented Credit Risk Modelling Analyst to play a pivotal role in establishing a new Credit Risk function within British Gas’ Residential Energy collections team. This role will begin with a comprehensive review of the work completed by the existing Credit Risk team, followed by the development of a strategic plan to build a best‑in‑class Credit Risk capability that delivers industry‑leading insight.

The Role
  • Analyse customer behavioural data to identify emerging trends and patterns.
  • Evaluate current collections strategies to uncover weaknesses and provide actionable insights that drive performance improvements.
  • Detect early warning indicators of potential risks and opportunities, enabling proactive intervention through advanced data analysis.
  • Serve as the go‑to expert for analytical tools and techniques across the Credit Risk and wider debt teams.
  • Develop and deliver insightful reports that explain historical debt performance and inform strategic decisions.
  • Lead and contribute to regular Credit Risk meetings, presenting findings and recommendations to senior stakeholders, including director‑level audiences.
The Person
  • Highly numerate
  • Attention to detail
  • Strong experience in Credit Risk, ideally within a regulated industry.
  • Strong knowledge of Credit Reference Agencies and the ability to leverage their data for impactful analysis.
  • Experience in the Energy sector is advantageous but not essential.
  • Advanced proficiency in analytical platforms such as Databricks, Python, SQL, and Power BI, with expert‑level skills in Microsoft Excel.
  • Proven ability to translate complex datasets into clear, actionable insights for senior leadership.
  • Excellent communication skills, both verbal and written, with the ability to tailor messaging to different audiences.
  • Self‑motivated and proactive, capable of delivering high‑quality analysis with minimal supervision.
  • Demonstrates leadership qualities and sound judgement in selecting analytical approaches.
  • Prior experience in team leadership is desirable but not essential.
Education
  • Degree in a statistics or similar numerate discipline or equivalent experience desirable
Work Experience
  • Relevant analytical and/or data modelling experience gained within a credit risk environment or similar
Why should you apply?

We’re not a perfect place – but we’re a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That’s why we’ve designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too. Visit the link below to discover why we’re a great place to work and what being part of more means for you.

https://www.morethanacareer.energy/britishgas

If you're full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non‑negotiable, and your ambitions are our priority.

Help us, help you. We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.