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- Tasks: Analyse data to optimise credit risk strategies and support decision-making.
- Company: Leading energy business in North East England with a focus on innovation.
- Benefits: Competitive salary, career development opportunities, and a dynamic work environment.
- Other info: Ideal for those passionate about data analysis and the energy market.
- Why this job: Join a growing team and make a real impact in the energy sector.
- Qualifications: Numerical/statistical degree and experience with SAS analytics required.
The predicted salary is between 40000 - 50000 £ per year.
A large energy business in North East England is currently seeking an experienced numerical analyst to join their expanding credit risk teams to provide insight and support via SAS analysis.
Key responsibilities:
- Monitor and evaluate the performance of individual policy rules, cut-offs, scorecards and champion challenger tests, initiating proposals where necessary to roll-out existing challengers or to implement new challengers.
- Monitor operational drivers of credit risk performance, initiating proposals where necessary to optimise the balance between manual and automated decisioning.
- Develop and maintain the production of regular MI to support the monitoring and evaluation of credit risk KPIs, key drivers and performance of credit risk strategies.
- Develop and maintain the production of credit loss forecasts.
- Identify the need to change credit strategies, systems functionality, operational processes and data acquisition and deployment (through data analytics and through discussion with colleagues and suppliers).
- Develop proposals, based largely upon data analytics to model the long term value of the change.
- Estimating and delivering credit loss assumptions for input into proposals initiated by other areas of the business (e.g., product development proposals, marketing campaign proposals).
- The design and maintenance of data tables in warehouses and marts to maximise their re-use potential across disparate analytics projects, minimising analytics turnaround times and maximising productive capacity.
- Work with internal colleagues and with suppliers to define requirements, procure, build, test and implement new credit risk capabilities such as new data sources, new scores, new systems and operational processes.
Ideal qualifications, skill sets and experience:
- Strong academic background with a numerical/statistical/science based degree.
- Highly numerate with strong data analysis experience. Experience with SAS analytics is essential (SQL, Python, C++ are also acceptable).
- Risk acquisition, capital impairment or portfolio risk experience ideal.
- MI report production and development experience.
- Macro-economic analysis and statistical model development experience ideal.
- Experience in the domestic energy retail sector highly advantageous.
If you have the relevant energy background or career experience skill sets, and would like to know more about the above opportunity, then please apply now. Due to the amount of applications we receive on a daily basis unfortunately we are only able to respond to the successfully shortlisted candidates. If you have not heard from us within 3-5 days of applying for this position, your application was not successful on this occasion. We may however be able to contact you with a more relevant position at a later date.
SAS Analyst - Energy Markets in Durham employer: Connect Executive Resourcing Limited
Contact Detail:
Connect Executive Resourcing Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SAS Analyst - Energy Markets in Durham
✨Tip Number 1
Network like a pro! Reach out to people in the energy sector, especially those working with SAS analytics. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you’ve got some cool SAS projects or data analysis work, don’t hesitate to share them during interviews. Real examples can make you stand out from the crowd.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of credit risk strategies and be ready to discuss how you’d optimise decision-making processes. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from candidates who are genuinely interested in joining us.
We think you need these skills to ace SAS Analyst - Energy Markets in Durham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SAS analytics and any relevant numerical analysis skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the energy sector and how your skills can contribute to our credit risk teams. Keep it concise but impactful!
Showcase Your Analytical Skills: In your application, emphasise your data analysis experience and any projects where you've used SAS or similar tools. We love seeing real examples of how you've tackled challenges in the past!
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. It streamlines the process for us and ensures your application gets the attention it deserves!
How to prepare for a job interview at Connect Executive Resourcing Limited
✨Know Your SAS Inside Out
Make sure you brush up on your SAS skills before the interview. Be prepared to discuss specific projects where you've used SAS for data analysis, and think about how you can relate those experiences to the role in energy markets.
✨Understand Credit Risk Fundamentals
Familiarise yourself with key concepts in credit risk management. Be ready to explain how you would monitor and evaluate performance metrics, and have examples of how you've optimised decision-making processes in previous roles.
✨Prepare for Technical Questions
Expect technical questions related to data analysis and model development. Practice explaining your thought process when developing credit loss forecasts or designing data tables, as this will showcase your analytical skills.
✨Showcase Your Teamwork Skills
This role involves collaboration with internal colleagues and suppliers. Prepare examples that demonstrate your ability to work effectively in a team, especially in defining requirements and implementing new capabilities.