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- Tasks: Analyse data, develop tools, and support trading strategies in a dynamic environment.
- Company: A leading London investment firm with a focus on innovation.
- Benefits: Gain direct exposure to trading decisions and enhance your quantitative skills.
- Other info: Ideal for those based in London looking for exciting career growth.
- Why this job: Join a collaborative team and make an impact in the fast-paced finance world.
- Qualifications: Experience in quantitative analysis and a degree in a relevant field.
The predicted salary is between 50000 - 70000 £ per year.
A London based investment firm is looking to hire a Quant Analyst to join a team working directly alongside traders and quantitative researchers. This role focuses on data analysis, signal development, and building tools that support live trading strategies. While the desk specialises in credit markets, the team is open to candidates with experience across other asset classes.
Responsibilities
- Analyse large datasets to identify patterns and trading signals
- Develop quantitative tools and models used by the trading desk
- Work closely with PMs and researchers to improve the investment process
- Support research and implementation of trading strategies
- Contribute to the development of data infrastructure and analytical tooling
Requirements
- Experience in a quantitative role within financial markets
- Strong background in data analysis and modelling
- Degree in Mathematics, Statistics, Physics, Engineering, or similar quantitative field
- Programming experience with tools commonly used in quantitative analysis
- Ability to collaborate closely with traders and researchers
- Candidates should already be based in London
This role offers the opportunity to work very close to the trading process, with direct exposure to investment decisions.
Credit Quant Analyst in Leeds employer: Durlston Partners
Contact Detail:
Durlston Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Quant Analyst in Leeds
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in credit markets. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your quantitative tools and models. When you get the chance to chat with potential employers, having tangible examples of your work can really set you apart.
✨Tip Number 3
Stay updated on market trends! Being knowledgeable about current events in financial markets can help you impress during interviews. It shows you're not just a number cruncher but also understand the bigger picture.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Credit Quant Analyst in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Credit Quant Analyst. Highlight your experience in data analysis and any relevant quantitative tools you've used. We want to see how your skills align 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 the role and how your background makes you a great fit. We love seeing enthusiasm and a clear understanding of the position.
Showcase Your Technical Skills: Don’t forget to mention your programming experience! Whether it's Python, R, or any other tools, let us know how you've used them in your previous roles. This is crucial for a Quant Analyst position.
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’s super easy!
How to prepare for a job interview at Durlston Partners
✨Know Your Numbers
Brush up on your data analysis skills and be ready to discuss specific datasets you've worked with. Be prepared to explain how you identified patterns or developed trading signals in your previous roles.
✨Showcase Your Programming Skills
Familiarise yourself with the programming languages and tools commonly used in quantitative analysis. Bring examples of your work or projects that demonstrate your coding abilities, especially those relevant to financial markets.
✨Understand the Trading Process
Research the firm’s trading strategies and the types of assets they focus on. Being able to discuss how your skills can directly support their investment process will show that you're genuinely interested and well-prepared.
✨Collaborate Like a Pro
Highlight your experience working in teams, especially with traders and researchers. Prepare examples of how you've successfully collaborated in the past, as this role requires close teamwork to improve investment strategies.