At a Glance
- 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.
- Other info: Great career progression in a supportive and collaborative environment.
- Why this job: Join a dynamic team and enhance your skills in the exciting energy market.
- Qualifications: Numerical degree and experience with data analysis tools like SAS, SQL, or Python.
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 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.
Risk MI Analyst - Energy Markets employer: Connect Executive Resourcing Limited
Connect Executive Resourcing Limited is an excellent employer for graduates looking to kickstart their careers in the energy sector. With a strong focus on skill development and a collaborative work culture, employees benefit from engaging with diverse stakeholders and gaining valuable insights into the UK energy industry. Located near Croydon, this role offers unique opportunities for professional growth and meaningful contributions to energy sales and compliance tasks.
Contact Details:
Connect Executive Resourcing Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Risk MI Analyst - Energy Markets
✨Tip Number 1
Network like a pro! Reach out to people in the energy sector, especially those working in credit risk. Use LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! If you've got experience with SAS, Python, or SQL, make sure to highlight that in conversations. Bring examples of your work to interviews to demonstrate your analytical prowess and how you can add value.
✨Tip Number 3
Prepare for the technical questions! Brush up on your data analysis techniques and be ready to discuss how you've tackled complex data issues in the past. This will show you're not just a numbers person but a problem solver too.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. It shows you're genuinely interested in joining our team and helps us keep track of your application more efficiently.
We think you need these skills to ace Risk MI Analyst - Energy Markets
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Risk MI Analyst role. Highlight your numerical analysis skills and any relevant programming experience, especially with SAS, Python, SQL, or R. We want to see how your background fits perfectly with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about credit risk in the energy markets. Share specific examples of your data analysis work and how it relates to the responsibilities listed in the job description. We love a good story!
Showcase Your Analytical Skills:In your application, don’t just list your skills—show us how you've used them! Include examples of projects where you produced reliable risk metrics or developed analytics samples. We’re keen to see your analytical prowess in action!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy—just a few clicks and you’re done!
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 share specific examples where your analytical insights made a difference.
✨Showcase Your Programming Skills
Make sure you highlight your experience with programming languages like SAS, SQL, Python, R, or C++. Bring along examples of projects where you've used these skills to solve problems or improve processes. If you can, prepare to discuss the technical challenges you faced and how you overcame them.
✨Understand the Energy Market
Familiarise yourself with the UK energy market and current trends in credit risk. This will not only show your interest in the role but also help you answer questions more effectively. Consider discussing recent news or changes in regulations that could impact the business.
✨Prepare Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to credit risk and how they leverage data analytics. This shows you're engaged and serious about the role. Plus, it gives you a chance to assess if the company is the right fit for you.
