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- Tasks: Join us as a Credit Quant Researcher to develop and enhance trading strategies.
- Company: Be part of a leading multi-strategy firm making waves in the finance world.
- Benefits: Enjoy a collaborative environment with opportunities for growth and innovation.
- Why this job: Work on cutting-edge analytics and contribute to impactful credit strategies.
- Qualifications: Master's or PhD in Math, Physics, Engineering, or Computational Finance required.
- Other info: Experience in Python or C++ and knowledge of Credit products is a plus.
The predicted salary is between 43200 - 72000 £ per year.
Intro:
My Client a leading multi-strat is looking for a skilled Quantitative Researcher with a strong background in developing, maintaining, and integrating a globally accessible quantitative trading infrastructure and building out their systematic offering within the credit space.
Key Responsibilities:
- Utilize the Credit and Convertible Bonds analytics library and trading infrastructure, which includes both vendor and internally developed platforms, for research purposes.
- Collaborate with the investment team to develop valuation tools and screeners to enhance their trading and filtration processes.
- Test various trading strategies, conduct ad hoc research, and present results using Excel/Python frameworks.
- Contribute to the development of internal Credit and Convertible Bond analytics.
- Support the development of Systematic Credit strategies.
- Work closely with business users and platform developers to gather requirements and manage the onboarding and integration of vendor models and datasets.
- Create written documentation for the models, strategies, and tools developed.
- Operate with minimal supervision and exercise sound judgment.
- Identify and automate manual processes.
Qualifications & Requirements:
- Master’s degree or PhD in a technical field such as Math, Physics, Engineering, or Computational Finance.
- Proven experience as a researcher or developer in the quant group of an investment bank or hedge fund.
- Proficiency in programming – Python or C++
- Experience in building trading tools is a plus.
- Experience in alpha research and signal generation is a plus.
- Basic understanding of derivatives modeling. Knowledge of Credit products or Convertible Bonds is a plus
- Strong analytical skills – ability to troubleshoot, logically assess problems, and determine solutions.
- Strong documentation skills – ability to clearly and concisely represent ideas, requirements, and problems in written form.
- Desire to work in a collaborative environment
If you have the relevant skills and are interested in applying, please feel free to share your CV and experiences.
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Credit Quant Researcher employer: Selby Jennings
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Quant Researcher
✨Tip Number 1
Make sure to showcase your experience with quantitative research and trading infrastructure. Highlight any specific projects where you've developed or maintained tools that align with the responsibilities mentioned in the job description.
✨Tip Number 2
Demonstrate your proficiency in Python or C++ through practical examples. If you have built trading tools or conducted alpha research, be ready to discuss these experiences in detail during the interview.
✨Tip Number 3
Prepare to discuss your understanding of Credit products and Convertible Bonds. Familiarize yourself with current trends and challenges in this area, as it will show your genuine interest and expertise.
✨Tip Number 4
Since collaboration is key for this role, think of examples where you've successfully worked in a team environment. Be ready to share how you gathered requirements and integrated feedback from business users and developers.
We think you need these skills to ace Credit Quant Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in quantitative research, programming skills (especially Python or C++), and any work with credit products or convertible bonds. Use specific examples to demonstrate your expertise.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with the key responsibilities, particularly your experience in developing trading tools and conducting alpha research.
Showcase Your Analytical Skills: Provide examples of past projects where you utilized strong analytical skills to solve complex problems. Highlight any experience with testing trading strategies and presenting results using Excel or Python frameworks.
Emphasize Documentation Skills: Since strong documentation skills are crucial for this role, include examples of how you've created clear and concise documentation for models, strategies, or tools in your previous positions.
How to prepare for a job interview at Selby Jennings
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in programming languages like Python or C++. Highlight any relevant projects where you've developed trading tools or conducted alpha research, as this will demonstrate your hands-on experience.
✨Demonstrate Analytical Thinking
During the interview, be ready to solve problems on the spot. Use examples from your past work to illustrate how you approached complex issues, assessed them logically, and arrived at effective solutions.
✨Prepare for Collaboration Questions
Since the role emphasizes collaboration with investment teams and platform developers, think of examples that showcase your ability to work in a team. Discuss how you gathered requirements and integrated models in previous roles.
✨Emphasize Documentation Skills
Strong documentation skills are crucial for this position. Be prepared to explain how you have documented models, strategies, and tools in the past. Clear communication is key, so practice articulating your ideas concisely.
