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- Tasks: Lead risk analytics solutions for convertible bonds and collaborate with various risk teams.
- Company: Join a leading financial institution focused on equity risk analytics.
- Benefits: Competitive salary, professional development, and opportunities for career advancement.
- Why this job: Make a significant impact in risk management while working with cutting-edge financial tools.
- Qualifications: Master’s or PhD in relevant fields and 3+ years of risk quant experience.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
The predicted salary is between 72000 - 108000 £ per year.
Equity Risk Quant – VP Level (Convertible Bond Focus)
We are seeking an experienced and highly skilled Equity Risk Quant to join our Equity Risk Analytics team at the VP level. This role is specifically tailored for candidates with deep expertise in convertible bonds. The successful candidate will play a key role in enhancing our risk analytics capabilities and developing robust tools to support risk management across the equity business.
Key Responsibilities
- Lead the design and implementation of risk analytics solutions with a strong focus on convertible bonds.
- Collaborate with Market Risk, Credit Risk, SIMM, and Quantitative Risk Development teams to ensure consistency and accuracy of risk measures across the equity derivatives platform.
- Partner with trading desks and risk managers to understand complex product structures and deliver tailored risk analytics tools.
- Develop and maintain Python-based libraries and applications to support real-time and historical risk analysis, scenario generation, and stress testing.
- Contribute to the enhancement of risk methodologies, including proxy modeling, time series construction, and sensitivity analysis for convertible and structured equity products.
Required Qualifications
- Master’s or PhD in Quantitative Finance, Mathematics, Physics, Computer Science, or a related field.
- Minimum of 3 years of hands-on experience as a risk quant, with a strong focus on convertible bonds.
- Deep understanding of equity exotic products, hybrid instruments, and volatility modeling techniques.
- Proficient in Python, with experience building and maintaining analytical libraries and tools.
- Strong problem-solving skills, attention to detail, and ability to manage multiple priorities independently.
- Excellent communication and interpersonal skills, with a collaborative mindset.
Preferred Qualifications
- Familiarity with Leversys and Kynex platforms is a plus.
- Experience with volatility surface calibration, proxy methodology development, and time series modeling is highly desirable.
- Prior exposure to regulatory risk frameworks (e.g., SIMM, FRTB) is advantageous.
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Equity Market Risk Analytics Quant (Convertible Bonds) employer: Jefferies
Contact Detail:
Jefferies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Equity Market Risk Analytics Quant (Convertible Bonds)
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance world, especially those who work with convertible bonds. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of Python projects or risk analytics tools, make sure to highlight them in conversations. Demonstrating your expertise can set you apart from other candidates.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of equity exotic products and volatility modeling techniques. Be ready to discuss how you’ve tackled complex problems in the past – real-life examples go a long way!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Equity Market Risk Analytics Quant (Convertible Bonds)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with convertible bonds and risk analytics. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or tools you've developed.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about equity risk and how your background makes you the perfect fit for our team. We love seeing enthusiasm and a personal touch!
Showcase Your Technical Skills: Since this role involves Python and analytical tools, make sure to mention any specific libraries or applications you’ve worked with. We’re keen to know how you’ve used your technical skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Jefferies
✨Know Your Convertible Bonds
Make sure you brush up on your knowledge of convertible bonds before the interview. Be ready to discuss their unique features and how they differ from other equity products. This will show that you have the expertise they're looking for.
✨Showcase Your Python Skills
Since this role requires proficiency in Python, prepare to discuss your experience with building analytical libraries and tools. Bring examples of your past projects or code snippets that demonstrate your ability to develop risk analytics solutions.
✨Collaborate Like a Pro
Highlight your experience working with different teams, such as Market Risk and Credit Risk. Be prepared to share specific examples of how you've collaborated to enhance risk measures or developed tailored analytics tools for trading desks.
✨Understand the Regulatory Landscape
Familiarise yourself with regulatory frameworks like SIMM and FRTB. Being able to discuss how these regulations impact risk management will set you apart and show that you're not just technically skilled but also aware of the broader context.