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- Tasks: Analyse data to support credit risk decisions and develop insightful business proposals.
- Company: Leading energy firm in North East England with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the energy sector.
- Qualifications: Numerical degree and experience with data analysis tools like SAS, SQL, or Python.
- Other info: Great career progression in a supportive and collaborative environment.
The predicted salary is between 36000 - 60000 £ 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 extensive data analysis. Programming/modelling experience in SAS is ideal but also Python, SQL, R, C++ are also acceptable. This is an excellent opportunity for someone with data analysis or risk analyst experience looking to develop their knowledge and skill sets of credit risk processes within the UK energy markets.
Key responsibilities will include:
- Production of reliable, analytically derived business proposals, to time and quality
- Production of regular reliable risk metric MI.
- The design of analytics samples that yield the most reliable and powerful insights to support business case proposals.
- 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.
- Understanding often obscure and esoteric data and systems issues, selecting and matching data series from across different systems captured at different points in time, with different quality issues, to produce contiguous data sets for reliable analysis and risk metric MI.
- 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 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.
- Analytical experience with either SAS, SQL, Python, C++ or R is required.
- Credit Risk process experience would be ideal but not essential.
- Commercial P&L analysis and statistical model development experience ideal but not essential.
- 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.
Risk MI Analyst employer: Connect Executive Resourcing Limited
Contact Detail:
Connect Executive Resourcing Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk MI Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the energy sector, especially those working in credit risk. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got experience with SAS, Python, or SQL, be ready to discuss specific projects where you used these tools. Real examples make you stand out!
✨Tip Number 3
Prepare for the interview by brushing up on credit risk processes. Knowing the ins and outs of the industry will show you're serious about the role and ready to contribute.
✨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 directly!
We think you need these skills to ace Risk MI Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your numerical analysis skills and any relevant programming experience. We want to see how your background aligns with the role of a Risk MI Analyst, so don’t be shy about showcasing your expertise in SAS, Python, SQL, or any other relevant tools.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about credit risk and how your previous experiences make you a great fit for our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Analytical Skills: In your application, provide examples of how you've used data analysis to drive business decisions or improve processes. We’re looking for candidates who can demonstrate their ability to produce reliable insights, so don’t hold back on sharing your successes!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes it easier for us to keep track of all the amazing candidates like you!
How to prepare for a job interview at Connect Executive Resourcing Limited
✨Know Your Numbers
As a Risk MI Analyst, you'll be dealing with a lot of data. Brush up on your numerical skills and be ready to discuss how you've used data analysis in previous roles. Be prepared to explain your thought process when interpreting complex datasets.
✨Showcase Your Programming Skills
Make sure you highlight your experience with programming languages like SAS, SQL, Python, or R. Bring examples of projects where you've used these skills to solve problems or improve processes. If you can, prepare to discuss specific coding challenges you've faced and how you overcame them.
✨Understand Credit Risk Basics
Even if you don't have direct credit risk experience, it's crucial to understand the fundamentals. Familiarise yourself with key concepts and metrics in credit risk management. This will show your enthusiasm for the role and your willingness to learn.
✨Prepare Questions
Interviews are a two-way street! Prepare insightful questions about the company's approach to credit risk and how they leverage data analytics. This not only shows your interest but also helps you gauge if the company is the right fit for you.
