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- Tasks: Drive model development for credit products and enhance pricing and risk models.
- Company: Leading tech provider in trading and risk analytics with a collaborative culture.
- Benefits: Competitive salary, performance bonus, private medical insurance, and 25 days annual leave.
- Why this job: Make a real impact in quantitative finance and work on innovative credit analytics.
- Qualifications: Strong background in quantitative finance and programming skills in Python/C++.
- Other info: Diverse and inclusive workplace with excellent training and development opportunities.
The predicted salary is between 43200 - 72000 £ per year.
Our client, a leading cross-asset front-to-back trading and risk technology provider, is building out its Quant Research capability and is seeking a Credit Quantitative Analyst to drive model development across credit products. This is a high-impact role contributing to the core analytics embedded within a global trading and risk platform.
You will:
- Develop and enhance pricing and risk models for credit products (bonds, CDS, credit derivatives, structured products).
- Research and implement credit curve construction, hazard rate models, and spread dynamics.
- Design robust risk analytics including sensitivities, scenario analysis, and XVA considerations.
- Collaborate with product, engineering, and clients to embed models into production systems.
- Contribute to long-term quantitative research strategy within credit analytics.
Strong background in quantitative finance, mathematics, physics, or similar. Extensive experience in credit modelling within a bank, hedge fund, or vendor environment. Deep understanding of fixed income mathematics and credit risk modelling. Strong programming skills (Python/C++ or similar). VP / Director-level experience with ability to operate autonomously.
We offer a competitive UK-aligned package, including:
- Competitive salary and performance bonus
- Private medical insurance, including mental health support
- Pension
- 25 days annual leave
- Schemes: Cycle to work, Perks at work, Home and tech
- Training and development opportunities
We are committed to a diverse and inclusive workplace where all individuals are respected and valued. We welcome applicants from every background and uphold equality across all characteristics. Diversity drives innovation and strengthens our ability to deliver exceptional results. Our aim is an environment where everyone can thrive and contribute to collective success.
Credit Quantitative Analyst (VP/Director) employer: Quanteam UK
Contact Detail:
Quanteam UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Quantitative Analyst (VP/Director)
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the game. We all know that sometimes it’s not just what you know, but who you know that can help land that dream role.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experiences with credit modelling and how you’ve tackled challenges in the past. We want to see your passion and expertise shine through!
✨Tailor Your Approach
Every company is different, so make sure you tailor your conversations to fit their vibe. Research their projects and values, and align your skills with what they’re looking for. We’re all about making those connections count!
✨Apply Through Our Website
Don’t forget to check out our website for the latest job openings! Applying directly through us not only shows your interest but also gives you a better chance of getting noticed. Let’s get you on board!
We think you need these skills to ace Credit Quantitative Analyst (VP/Director)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in quantitative finance and credit modelling. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about credit analytics and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills: Since programming skills are key for this role, make sure to highlight your proficiency in Python, C++, or any other relevant languages. If you’ve worked on specific projects that involved coding, mention those to give us a clearer picture of your capabilities.
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 gives you a chance to explore more about who we are and what we do!
How to prepare for a job interview at Quanteam UK
✨Know Your Models Inside Out
Make sure you can discuss the pricing and risk models for credit products in detail. Brush up on your knowledge of bonds, CDS, and structured products, as well as the latest trends in credit curve construction and hazard rate models. Being able to explain your thought process and methodologies will impress the interviewers.
✨Showcase Your Programming Skills
Since strong programming skills are essential for this role, be prepared to demonstrate your proficiency in Python or C++. You might be asked to solve a coding problem or discuss how you've used programming in past projects. Practising common algorithms and data structures can help you feel more confident.
✨Collaborate and Communicate
This role involves working closely with product teams and clients, so highlight your collaboration skills. Prepare examples of how you've successfully worked in teams to embed models into production systems. Good communication is key, so practice explaining complex concepts in simple terms.
✨Understand the Bigger Picture
Familiarise yourself with the company's long-term quantitative research strategy and how it aligns with their goals. Be ready to discuss how your experience and vision can contribute to their objectives. Showing that you understand the broader context of your work will set you apart from other candidates.