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- Tasks: Design and implement analytics solutions for complex business challenges in Treasury Finance.
- Company: Join a leading bank with a focus on innovation and risk management.
- Benefits: Competitive salary, professional development, and a supportive work environment.
- Why this job: Make a real impact by solving financial problems with cutting-edge analytics.
- Qualifications: Experience in Treasury Finance, strong Python skills, and excellent communication abilities.
- Other info: Opportunity to work in a dynamic team with career growth potential.
The predicted salary is between 54000 - 84000 £ per year.
Design analytics and modelling solutions to complex business problems using domain expertise.
Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools.
Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams.
Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them.
Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users.
Demonstrate conformance to all the Bank’s Enterprise Risk Management Policies, particularly Model Risk Policy.
Ensure all development activities are undertaken within the defined control environment.
Role Requirements:
- Previous experience in Treasury Finance model development or Treasury desk support.
- Systems engineering knowledge, including development of distributed systems.
- Strong coding skills in Python, including close familiarity with Pandas and Numpy libraries.
- A solid foundation in financial mathematics, in particular bond and derivative pricing and discounting.
- Excellent communication skills, including the ability to discuss technical matters with a non-technical audience.
Treasury Quantitative Analytics Manager in London employer: Empirical Search
Contact Detail:
Empirical Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Treasury Quantitative Analytics Manager in London
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and analytics space, especially those who work in treasury. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytics and modelling solutions. Use real-world examples that demonstrate your coding prowess in Python and your understanding of financial mathematics.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Be ready to explain complex concepts in simple terms, as you'll need to engage with both technical and non-technical audiences.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it gives you a better chance to stand out in the application process.
We think you need these skills to ace Treasury Quantitative Analytics Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Treasury Quantitative Analytics Manager role. Highlight your experience in Treasury Finance model development and any relevant coding skills, especially in Python. We want to see how your background aligns with what we're looking for!
Showcase Your Skills: When writing your application, don’t just list your skills—show us how you've used them! Provide examples of analytics and modelling solutions you've designed or implemented. This helps us understand your practical experience and how you can contribute to our team.
Be Clear and Concise: We appreciate clarity! Use straightforward language and avoid jargon when possible, especially when discussing technical matters. Remember, we want to see how well you can communicate complex ideas to a non-technical audience.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about StudySmarter and what we stand for.
How to prepare for a job interview at Empirical Search
✨Know Your Analytics Inside Out
Make sure you’re well-versed in the analytics and modelling solutions relevant to Treasury Finance. Brush up on your knowledge of financial mathematics, especially bond and derivative pricing, so you can confidently discuss how your expertise can solve complex business problems.
✨Showcase Your Coding Skills
Be prepared to demonstrate your coding prowess in Python, particularly with Pandas and Numpy. Consider bringing along a portfolio of past projects or examples where you've developed high-performing analytics solutions, as this will help illustrate your technical capabilities.
✨Communicate Clearly and Effectively
Since you'll need to explain technical concepts to non-technical audiences, practice articulating your ideas clearly. Use simple language and relatable examples to ensure everyone understands your thought process and the value of your solutions.
✨Understand the Control Environment
Familiarise yourself with the Bank’s Enterprise Risk Management Policies, especially the Model Risk Policy. Be ready to discuss how you ensure compliance in your development activities, as this shows your commitment to maintaining a robust control environment.
