Structured Credit Quantitative Analyst (Front Office) - London

Structured Credit Quantitative Analyst (Front Office) - London

London Full-Time 60000 - 80000 € / year (est.) No home office possible
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At a Glance

  • Tasks: Support traders with pricing, risk, and P&L while developing core pricing models.
  • Company: Leading global financial institution with a dynamic trading environment.
  • Benefits: Competitive salary, career progression, and hands-on experience in finance.
  • Other info: Opportunity for rapid career growth and direct interaction with traders.
  • Why this job: Join a fast-paced team and make a real impact on trading strategies.
  • Qualifications: 3-6 years in a front-office quant role with strong C++ and Python skills.

The predicted salary is between 60000 - 80000 € per year.

A leading global financial institution is hiring a front-office Quantitative Analyst to support its Structured Credit trading desk. This is a key growth hire following a senior departure, with the team deliberately targeting a slightly more junior profile offering strong upside and progression. The role sits directly on the trading floor, providing real-time pricing, risk, and P&L support while contributing to the development and evolution of core pricing models and tools.

Key Responsibilities

  • Front-office support to traders across pricing, risk, and P&L
  • Development and enhancement of pricing and risk models
  • Hands-on contribution to credit modelling and XVA frameworks
  • Build and upgrade of pricing tools (VBA → Python migration)
  • Development of a new Python-based pricing platform for faster trader execution
  • Ongoing desk interaction and real-time problem solving

Required Experience & Skills

  • 3-6 years' experience in a front-office quant role
  • Proven exposure supporting a trading desk
  • Background in structured credit, rates, and/or XVA
  • Strong C++ development skills
  • Python highly desirable (C# a plus)
  • Experience building or maintaining pricing tools
  • Solid understanding of vanilla models and stochastic calculus
  • Master's-level education (or equivalent)

Profile Fit

  • Hands-on, proactive, and communicative
  • Enjoys working closely with traders in a fast-paced environment
  • Commercial mindset with strong technical depth
  • Ambitious and motivated to progress quickly

Structured Credit Quantitative Analyst (Front Office) - London employer: ANSON MCCADE

As a leading global financial institution, we pride ourselves on fostering a dynamic and collaborative work environment that empowers our employees to thrive. Located in the heart of London, our structured credit team offers unparalleled opportunities for professional growth and development, with a focus on innovation and real-time problem-solving. Join us to be part of a forward-thinking culture where your contributions directly impact trading success and career advancement is encouraged.

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Contact Detail:

ANSON MCCADE Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Structured Credit Quantitative Analyst (Front Office) - London

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those working in structured credit or quantitative roles. A friendly chat can lead to insider info about job openings and even referrals.

Tip Number 2

Prepare for those tricky interviews! Brush up on your technical skills, especially in C++ and Python. Be ready to discuss your experience with pricing models and how you’ve contributed to trading desks in the past.

Tip Number 3

Show off your problem-solving skills! During interviews, share specific examples of how you've tackled real-time issues on the trading floor. This will demonstrate your hands-on approach and ability to thrive in a fast-paced environment.

Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for ambitious candidates who are eager to grow. Your next big opportunity could be just a click away!

We think you need these skills to ace Structured Credit Quantitative Analyst (Front Office) - London

Quantitative Analysis
Pricing Models Development
Risk Modelling
P&L Support
Credit Modelling
XVA Frameworks
VBA to Python Migration

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Structured Credit Quantitative Analyst role. Highlight your experience in front-office quant roles and any relevant skills like C++ and Python. We want to see how your background fits with what we’re looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about structured credit and how your skills can contribute to our trading desk. Keep it concise but impactful – we love a good story!

Showcase Your Technical Skills:Don’t forget to showcase your technical skills, especially in C++ and Python. If you’ve built or maintained pricing tools, let us know! We’re keen on seeing how you can help us develop our pricing models and tools.

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application directly and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at ANSON MCCADE

Know Your Models

Make sure you brush up on your knowledge of pricing and risk models, especially those relevant to structured credit. Be prepared to discuss how you've developed or enhanced these models in your previous roles.

Showcase Your Coding Skills

Since the role involves migrating tools from VBA to Python, be ready to demonstrate your coding abilities. Bring examples of your work or even be prepared for a live coding challenge to showcase your proficiency in C++ and Python.

Understand the Trading Floor Dynamics

Familiarise yourself with how a trading desk operates. Highlight your experience in real-time problem-solving and how you've supported traders in fast-paced environments. This will show that you can hit the ground running.

Communicate Effectively

As a front-office analyst, communication is key. Practice articulating complex quantitative concepts in simple terms. This will help you connect with traders and demonstrate your proactive approach to collaboration.