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- Tasks: Join our team to develop and implement cutting-edge pricing models for various asset classes.
- Company: Be part of a leading Investment Bank, driving innovation in the financial sector.
- Benefits: Enjoy a flexible work schedule with 3 days in the office and competitive pay based on your skills.
- Why this job: Make an impact in finance while collaborating with top professionals in a dynamic environment.
- Qualifications: Degree in a quantitative field and programming skills in C++ or C# required; Python or R is a bonus.
- Other info: This is a 6-month rolling contract, perfect for gaining valuable experience in investment banking.
The predicted salary is between 48000 - 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.
Senior Quantitative Analyst employer: Bonhill Partners
Contact Detail:
Bonhill Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Analyst
✨Tip Number 1
Network with professionals in the investment banking sector, especially those working as quantitative analysts. Attend industry events or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 2
Stay updated on the latest regulatory frameworks like Basel III and FRTB. Familiarise yourself with recent changes and how they impact model validation and compliance, as this knowledge will be crucial during interviews.
✨Tip Number 3
Brush up on your programming skills, particularly in C++ or C#. Consider working on personal projects or contributing to open-source projects that involve quantitative analysis to showcase your abilities.
✨Tip Number 4
Prepare for technical interviews by practising model testing and validation scenarios. Be ready to discuss your approach to backtesting and stress testing models, as well as how you would handle real-world challenges in a fast-paced environment.
We think you need these skills to ace Senior Quantitative Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative analysis, model development, and programming skills. Emphasise your familiarity with regulatory frameworks like Basel III and FRTB, as these are crucial for the role.
Craft a Strong Cover Letter: In your cover letter, explain why you are interested in the Senior Quantitative Analyst position and how your background aligns with the key responsibilities. Mention specific projects or experiences that demonstrate your expertise in model validation and implementation.
Showcase Technical Skills: Clearly outline your programming skills in C++, C#, Python, or R in your application. Provide examples of how you've used these languages in previous roles, particularly in developing or validating quantitative models.
Highlight Soft Skills: Don't forget to mention your analytical, problem-solving, and communication skills. These are essential for collaborating with front office quants and risk managers. Use specific examples to illustrate how you've successfully worked in a team or independently in fast-paced environments.
How to prepare for a job interview at Bonhill Partners
✨Showcase Your Technical Skills
Make sure to highlight your programming skills in C++ or C#, as well as any experience with Python or R. Be prepared to discuss specific projects where you implemented quantitative models, as this will demonstrate your hands-on experience.
✨Understand Regulatory Frameworks
Familiarise yourself with key regulatory frameworks such as Basel III and FRTB. During the interview, be ready to discuss how these regulations impact model validation and compliance, showcasing your knowledge of industry standards.
✨Demonstrate Analytical Thinking
Prepare to solve analytical problems on the spot. You might be asked to backtest a model or assess its performance under different scenarios. Practising these types of questions can help you feel more confident during the interview.
✨Communicate Effectively
Strong communication skills are essential for this role. Be clear and concise when explaining complex concepts, and ensure you can articulate your thought process when discussing model development and validation methodologies.
