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- Tasks: Join our team to develop and validate pricing models for various asset classes.
- Company: We're a leading Investment Bank, known for innovation and excellence in finance.
- Benefits: Enjoy a hybrid work model with flexible office days and competitive pay.
- Why this job: Make an impact in finance while collaborating with top professionals in a dynamic environment.
- Qualifications: Degree in a quantitative field; programming skills in C++ or C# required.
- Other info: This is a 6-month rolling contract with opportunities for growth.
The predicted salary is between 43200 - 72000 £ per year.
We're currently supporting an Investment Bank in their search for a Quantitative Analyst to join their Front Office Cross-Asset Quant team. The successful candidate will be responsible for implementing pricing and regulatory models used across various asset classes. This role involves model documentation, regulatory reporting, model testing, and calibration, with programming required for model implementation and validation.
Key Responsibilities:
- Develop and implement model validation methodologies, ensuring compliance with regulatory requirements (e.g., Basel, SS1-23, FRTB).
- Perform rigorous testing, backtesting, stress testing, and benchmarking of models to assess accuracy and stability.
- Review and enhance model documentation to ensure transparency, completeness, and regulatory compliance.
- Work closely with front office quants, risk managers, and technology teams to assess model performance and resolve issues.
- Implementation of quant models (e.g., Bermudans, CMS etc.).
- Stay up to date with regulatory developments and industry best practices.
Required Skills & Qualifications:
- Degree in a quantitative discipline (Mathematics, Physics, Computer Science, Financial Engineering, or related field).
- Programming skills in C++ or C#; experience with Python or R is a plus.
- Experience with regulatory frameworks such as Basel III, FRTB, IFRS 9, CCAR, etc.
- Prior experience in model development in an investment bank or financial institution.
- Deep understanding of financial instruments, derivatives pricing models, and risk modeling techniques.
- Strong background in statistical analysis, probability, and numerical methods.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively in a fast-paced environment.
This will be a 6 months rolling contract, 3 days in the office.
Quantitative Analyst | London, UK | Hybrid employer: Bonhill Partners
Contact Detail:
Bonhill Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst | London, UK | Hybrid
✨Tip Number 1
Familiarise yourself with the latest regulatory frameworks like Basel III and FRTB. Understanding these regulations will not only help you in interviews but also demonstrate your commitment to compliance, which is crucial for a Quantitative Analyst role.
✨Tip Number 2
Brush up on your programming skills, especially in C++ or C#. If you can showcase your ability to implement models through practical examples or projects, it will significantly strengthen your candidacy.
✨Tip Number 3
Network with professionals in the investment banking sector, particularly those working in quantitative roles. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during the interview process.
✨Tip Number 4
Stay updated on industry best practices and recent developments in financial instruments and derivatives pricing. Being knowledgeable about current trends will help you stand out as a candidate who is proactive and well-informed.
We think you need these skills to ace Quantitative Analyst | London, UK | Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative analysis, model development, and programming skills. Emphasise any experience with regulatory frameworks like Basel III or FRTB, as these are crucial for the role.
Craft a Strong Cover Letter: In your cover letter, explain why you are interested in the Quantitative Analyst position and how your background aligns with the responsibilities outlined in the job description. Mention specific projects or experiences that demonstrate your skills in model validation and implementation.
Showcase Technical Skills: Clearly list your programming skills, particularly in C++ or C#, and mention any experience with Python or R. Provide examples of how you've used these skills in previous roles, especially in relation to model testing and calibration.
Highlight Analytical Abilities: Demonstrate your analytical and problem-solving skills by including examples of past work where you performed rigorous testing, backtesting, or stress testing of models. This will show your capability to assess model performance effectively.
How to prepare for a job interview at Bonhill Partners
✨Brush Up on Your Quant Skills
Make sure you have a solid understanding of quantitative methods and financial instruments. Be prepared to discuss your experience with derivatives pricing models and risk modelling techniques, as these will be crucial in the role.
✨Showcase Your Programming Proficiency
Since programming skills in C++ or C# are essential, be ready to demonstrate your coding abilities. You might be asked to solve a problem or explain your previous projects involving model implementation and validation.
✨Understand Regulatory Frameworks
Familiarise yourself with key regulatory frameworks like Basel III and FRTB. Be prepared to discuss how you've applied these regulations in past roles, especially in relation to model validation and compliance.
✨Prepare for Technical Questions
Expect technical questions that test your analytical and problem-solving skills. Practice explaining complex concepts clearly, as communication is key when working with quants, risk managers, and tech teams.
