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- Tasks: Lead the development of financial models and enhance hedge management processes.
- Company: Join a forward-thinking Society focused on financial modelling and customer insights.
- Benefits: Enjoy hybrid working, flexible hours, and a supportive team environment.
- Why this job: Make a real impact in finance while developing your technical skills in a collaborative setting.
- Qualifications: Experience with ALM models, SQL, Excel, and strong communication skills required.
- Other info: This is a 12-month fixed term contract based in central Leeds.
The predicted salary is between 43200 - 72000 £ per year.
Are you passionate about making a difference, using your technical skills collaboratively to deliver real change? If so, we may have the role for you! We are thrilled to announce two incredible opportunities for Modelling Managers to join our Clients team in Financial Modelling.
In this role, you will build and maintain Asset and Liability Management (ALM) models and improve the interface with the Treasury systems to streamline the hedge management process. This is an exciting time to join the team, as the Society uses a new balance sheet software to embed customer behavioural assumptions within the models, allowing them to deepen their understanding of the income, value and inherent risk within the balance sheet. This is a hybrid role; remote working with some onsite presence in central Leeds offices. Both opportunities are for a 12-month fixed term contract.
About the role
- Design, develop and deliver new models or model redevelopments to support the Society's new hedge management process.
- Ensure robust controls and comprehensive documentation exists.
- Work with the ALM team to support appropriate model use and understanding of controls.
About you
What will you bring to the role?
- Proven experience working with ALM models within financial services and forecasting the balance sheet including knowledge of treasury instruments used by financial institutions to manage interest rate risk.
- Proven experience of data manipulation and modelling using SQL, Excel and other tools.
- Strong communication, engagement and influencing skills - demonstrating the ability to engage at all levels.
- Knowledge of Treasury Management Systems such as Murex.
- Experience of using Python, VBA or other forecasting software.
- Knowledge of balance sheet risk metrics and how to model these.
- Broader knowledge of financial services and the building society business model.
Applicants must be located and eligible to work in the UK without sponsorship.
Please note, should feedback not be received within 28 days, unfortunately your application has been unsuccessful. In applying for this role, you may be registered on our database so we can contact you about suitable opportunities in future. Your data will be managed in accordance with our Privacy Policy, which can be found on our website.
If you would like this job advertisement in an alternative format, please contact MERJE directly.
Modelling Manager employer: MERJE
Contact Detail:
MERJE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Modelling Manager
✨Tip Number 1
Network with professionals in the financial services sector, especially those who have experience with ALM models. Attend industry events or webinars to connect with potential colleagues and learn more about the latest trends in treasury management.
✨Tip Number 2
Familiarise yourself with the specific Treasury Management Systems mentioned in the job description, like Murex. Consider taking online courses or tutorials to enhance your understanding and demonstrate your commitment to mastering these tools.
✨Tip Number 3
Prepare to discuss your experience with data manipulation and modelling during interviews. Be ready to provide examples of how you've used SQL, Excel, or Python in previous roles to solve complex problems or improve processes.
✨Tip Number 4
Showcase your strong communication skills by engaging with the hiring team on platforms like LinkedIn. Share relevant articles or insights related to ALM and treasury management to demonstrate your knowledge and passion for the field.
We think you need these skills to ace Modelling Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ALM models and financial forecasting. Use specific examples that demonstrate your skills in data manipulation, SQL, and Excel, as well as any relevant software like Python or VBA.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the role and the impact you can make. Mention your understanding of treasury instruments and how your previous experience aligns with the Society's goals in hedge management.
Highlight Relevant Skills: In your application, emphasise your strong communication and engagement skills. Provide examples of how you've successfully collaborated with teams or influenced stakeholders in previous roles.
Proofread Your Application: Before submitting, carefully proofread your application to ensure there are no errors. A well-presented application reflects your attention to detail, which is crucial for a role involving financial modelling.
How to prepare for a job interview at MERJE
✨Showcase Your Technical Skills
Make sure to highlight your experience with ALM models and any relevant tools like SQL, Excel, Python, or VBA. Be prepared to discuss specific projects where you've successfully implemented these skills.
✨Understand the Role of Treasury Systems
Familiarise yourself with Treasury Management Systems, particularly Murex, as this knowledge will be crucial. Demonstrating an understanding of how these systems integrate with ALM models can set you apart.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice articulating complex financial concepts clearly and concisely, as you'll need to engage with various stakeholders at different levels.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about past experiences where you've had to navigate challenges related to balance sheet risk metrics or model development.
