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For Companies At a Glance
- Tasks: Develop and enhance trading models while collaborating with traders on innovative projects.
- Company: Join a top-tier global platform in electronic credit trading.
- Benefits: Competitive salary, career progression, and access to cutting-edge technology.
- Why this job: Make a real impact in the evolving world of systematic market making.
- Qualifications: STEM degree and hands-on experience in algo trading required.
- Other info: Dynamic environment with opportunities for leadership and innovation.
The predicted salary is between 72000 - 120000 £ per year.
Job Description
Onsite WORKING
Location: London, UK , New York, New York – United States Type: Permanent
Credit Algo / E-Trading Quant – Assoc/VP
Locations: London & New York
Team: Credit Quantitative Research – Cash Credit
Our client is growing its Credit Algo/E-Trading Quantitative Research team and is hiring in both London (Associate-Junior VP) and New York (VP).
The team supports the Cash Credit business, working across corporate bonds, bond portfolios, and fixed income ETFs with direct exposure to both systematic (algo) and high-touch trading. These are highly hands-on roles where you will work closely with traders and quants, taking projects from research through to production, while gaining deep insight into credit market microstructure.
The London position is ideal for strong quants with 2-5 years' experience looking to grow their expertise, while the New York position is aimed at candidates with 5+ years' experience who can take on leadership responsibilities and drive projects forward.
What You'll Do
- Develop and enhance signals research and bid models to support electronic market-making.
- Work on portfolio pricing and ETF trading projects (primary and secondary markets).
- Collaborate with traders to optimize inventory management, systematic trading, and liquidity.
- Design, implement, and productionize models end-to-end, ensuring robustness and explainability.
- Explore and integrate advanced statistical and machine learning techniques, with opportunities to experiment with innovative approaches.
- In the New York role: provide leadership in connecting AI/ML research to business application, ensuring scalability and long-term impact.
What They're Looking For
- STEM degree (Mathematics, Physics, Engineering, Computer Science, etc.).
- Hands-on experience in algo trading and ideally market-making.
- Strong programming skills in Python (Java a plus).
- Experience in statistical learning, data analysis, and/or ML techniques.
- Proven ability to build models from scratch, not just adapt existing frameworks.
- Knowledge of credit or fixed income products (corporate bonds, CDS, ETFs) strongly preferred; FX or other systematic backgrounds also considered.
- Strong communication skills, collaborative mindset, and the ability to work independently.
- For the VP role (New York): minimum 5 years' experience, with leadership capability and track record of delivering quant models into production.
Why Join?
- Work on a diverse range of projects across bonds, portfolios, and ETFs.
- Direct interaction with traders and exposure to real market structure.
- A culture that values rigorous research and explainable modeling over pure P&L focus.
- Opportunity to take projects end-to-end, from initial research to live trading systems.
- Access to cutting-edge technology, with openness to innovative approaches (including LLMs and advanced ML methods).
- Join a globally respected Credit Algo/E-Trading Quant team with strong career progression.
Apply now to join a top-tier global platform in electronic credit trading and play a key role in the evolution of systematic market making!
Credit E-Trading/Algo Quant employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit E-Trading/Algo Quant
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even casual coffee chats. The more people you know, the better your chances of landing that dream role.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, models, or any algo trading strategies you've worked on. This will give potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for those tricky interview questions by practising your responses. Focus on your problem-solving skills and how you’ve tackled challenges in past roles. Remember, confidence is key!
✨Apply Through Us!
Don’t forget to check out our website for openings! Applying directly through us not only shows your interest but also gives you a better chance of getting noticed by the hiring team.
We think you need these skills to ace Credit E-Trading/Algo Quant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role. Highlight your experience in algo trading, programming skills, and any relevant projects you've worked on. We want to see how your background aligns 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 credit markets and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Since this role involves a lot of hands-on work, make sure to showcase your programming skills, especially in Python. If you’ve built models or worked on data analysis, let us know! We’re keen to see your technical prowess.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Anson McCade
✨Know Your Models Inside Out
Make sure you can explain the models you've built from scratch, not just the ones you've adapted. Be ready to discuss your thought process and the statistical techniques you used, as well as how they apply to credit market microstructure.
✨Brush Up on Your Programming Skills
Since strong programming skills in Python are a must, ensure you're comfortable coding on the spot. Practice common algorithms and data structures, and be prepared to solve problems related to algo trading during the interview.
✨Showcase Your Collaborative Spirit
This role involves working closely with traders and quants, so highlight your teamwork experiences. Share examples of how you've successfully collaborated on projects and how you communicate complex ideas clearly.
✨Stay Updated on Market Trends
Familiarise yourself with current trends in the credit market, including corporate bonds and ETFs. Being able to discuss recent developments or challenges in the market will show your genuine interest and understanding of the field.
