Credit Desk Quant

Credit Desk Quant

Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our Flow Credit team to develop models and tools for trading and risk decision-making.
  • Company: Be part of a top-tier global investment bank with a strong reputation in finance.
  • Benefits: Enjoy a high-impact role with opportunities for collaboration and skill development.
  • Why this job: Make a real difference in trading performance while working closely with industry experts.
  • Qualifications: Solid programming skills in Python and a keen interest in financial mathematics required.
  • Other info: Ideal for problem-solvers eager to create impactful tools in a dynamic environment.

The predicted salary is between 43200 - 72000 £ per year.

We’re seeking a highly motivated Quantitative Analyst (AVP) to join our Flow Credit team at a top-tier global investment bank. This front-office role is embedded within the Credit Trading desk and offers a unique opportunity to apply quantitative expertise directly to trading, pricing, and risk decision-making for liquid credit products (e.g., CDS, CDX).

You’ll collaborate closely with traders and strats to develop models, support infrastructure, and build tools that drive the desk’s performance. This is a high-impact, high-visibility position requiring strong technical ability and a pragmatic approach to problem-solving.

Key Responsibilities
  • Build, implement, and support pricing and risk models for credit flow products.
  • Partner with traders to develop end-to-end tools and deliver analytics in real time.
  • Provide quantitative insights through market data analysis and modeling.
  • Maintain and enhance front-office analytics libraries and infrastructure.
  • Work with sales and trading teams to craft client-focused solutions.
Essential Skills
  • Solid programming experience, especially in Python.
  • Strong interest in financial mathematics and trading.
  • Ability to work hands-on in Excel and legacy systems as needed.
  • Problem-solver mindset with a desire to build complete tools, not just backend models.
Desirable
  • Understanding of object-oriented programming and clean coding practices.
  • Exposure to front-office trading or financial markets.
  • Experience with .NET (C#), Excel, VBA is a plus.

Credit Desk Quant employer: Alexander Chapman

Join a prestigious global investment bank that values innovation and collaboration, offering a dynamic work environment for a Credit Desk Quant. With a strong focus on employee growth, you will have access to cutting-edge resources and the opportunity to work alongside industry leaders in a high-impact role. Enjoy a culture that promotes continuous learning and provides unique advantages such as real-time analytics and direct involvement in trading decisions, making it an excellent place for those seeking meaningful and rewarding employment.
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Contact Detail:

Alexander Chapman Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Credit Desk Quant

✨Tip Number 1

Familiarise yourself with the specific credit products mentioned in the job description, such as CDS and CDX. Understanding these products will not only help you during interviews but also demonstrate your genuine interest in the role.

✨Tip Number 2

Brush up on your Python programming skills, as this is a key requirement for the position. Consider working on personal projects or contributing to open-source projects that involve quantitative analysis to showcase your abilities.

✨Tip Number 3

Network with professionals already working in the credit trading space. Attend industry events or join relevant online forums to gain insights and potentially get referrals that could boost your application.

✨Tip Number 4

Prepare to discuss real-time analytics and how you would approach building tools for traders. Think of examples from your past experiences where you successfully solved complex problems or improved processes, as this will resonate well with the hiring team.

We think you need these skills to ace Credit Desk Quant

Quantitative Analysis
Python Programming
Financial Mathematics
Excel Proficiency
Problem-Solving Skills
Model Development
Market Data Analysis
Risk Modelling
Object-Oriented Programming
Clean Coding Practices
Front-Office Trading Knowledge
.NET (C#) Experience
VBA Skills
Collaboration with Traders
Client-Focused Solutions

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in quantitative analysis, programming skills (especially in Python), and any exposure to financial markets. Use specific examples that demonstrate your problem-solving abilities and technical expertise.

Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills align with the responsibilities of the Credit Desk Quant position, particularly your experience with pricing and risk models, and your ability to collaborate with traders.

Showcase Technical Skills: Be explicit about your programming experience, especially in Python and any other relevant languages like C# or VBA. Mention any projects or tools you have developed that relate to credit products or trading analytics.

Highlight Problem-Solving Examples: Provide concrete examples of how you've approached complex problems in previous roles. Emphasise your hands-on experience and your desire to build complete tools, not just backend models, to show your pragmatic approach to challenges.

How to prepare for a job interview at Alexander Chapman

✨Showcase Your Technical Skills

Make sure to highlight your programming experience, especially in Python. Be prepared to discuss specific projects or models you've built, as this will demonstrate your technical ability and problem-solving skills.

✨Understand the Role of a Quantitative Analyst

Familiarise yourself with the responsibilities of a Quantitative Analyst in a trading environment. Be ready to explain how your skills can contribute to building pricing and risk models for credit flow products.

✨Prepare for Real-Time Problem Solving

Since this role involves delivering analytics in real time, think of examples where you've successfully solved problems under pressure. This will show your pragmatic approach and ability to work closely with traders.

✨Demonstrate Collaboration Skills

This position requires working closely with traders and strats. Prepare to discuss how you've collaborated in past roles, focusing on how you contributed to team success and client-focused solutions.

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