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- Tasks: Design and develop predictive models for fixed income markets using large datasets.
- Company: Leading global investment firm at the forefront of systematic investing.
- Benefits: Competitive salary, dynamic research environment, and opportunities for professional growth.
- Why this job: Make a real impact in finance by uncovering market inefficiencies and developing innovative strategies.
- Qualifications: Degree in Maths, Computer Science, or related fields; experience in Python, R, or C++.
- Other info: Collaborative team culture with strong emphasis on research and problem-solving.
The predicted salary is between 43200 - 72000 £ per year.
CW Talent Solutions is partnering with a leading global investment firm to hire a Quantitative Researcher focused on fixed income research. This is an exciting opportunity to work at the forefront of systematic investing, developing predictive models across rates, credit, and related fixed income markets in a dynamic, research-driven environment.
Key Responsibilities
- Design and develop quantitative signals (alphas) across fixed income markets
- Conduct original research using large-scale datasets to uncover market inefficiencies
- Build and backtest models to evaluate performance in live trading environments
- Collaborate with researchers and technologists to integrate signals into systematic strategies
Preferred Experience
- Bachelor’s, Master’s, or Ph.D. in Mathematics, Computer Science, Physics, Engineering, or Financial Engineering
- Experience in Python, R, or C++ for data processing, modeling, and visualization
- Strong academic track record and demonstrated research skills
- Interest or experience in fixed income products (Rates, Credit, Sovereign, or Corporates) is a significant advantage
- Independent thinker with methodical problem-solving skills and strong communication
For applications or more information: sean@cwtalentsolutions.com
Quantitative Researcher – Fixed Income employer: CW Talent Solutions
Contact Detail:
CW Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher – Fixed Income
✨Tip Number 1
Network like a pro! Reach out to professionals in the fixed income space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models and research projects. This is your chance to demonstrate your expertise in Python, R, or C++.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle real-world scenarios and discuss how you would approach developing predictive models.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative!
We think you need these skills to ace Quantitative Researcher – Fixed Income
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Researcher role. Highlight your experience with fixed income products and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Skills: Don’t forget to showcase your programming skills in Python, R, or C++. Include specific examples of how you've used these languages for data processing or modelling. This will help us see your technical prowess right off the bat!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative research and how your background makes you a great fit for our team. We love seeing enthusiasm and a clear understanding of the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Don’t miss out on this exciting opportunity!
How to prepare for a job interview at CW Talent Solutions
✨Know Your Numbers
As a Quantitative Researcher, you'll be expected to have a strong grasp of data and models. Brush up on your quantitative skills and be ready to discuss specific examples of how you've used data analysis in past projects. This will show your potential employer that you can hit the ground running.
✨Showcase Your Coding Skills
Since experience in Python, R, or C++ is crucial for this role, make sure you can talk about your coding experience confidently. Prepare to discuss any relevant projects where you’ve developed models or processed data. If possible, bring along a portfolio or examples of your work to demonstrate your capabilities.
✨Research the Firm
Before the interview, take some time to understand the firm’s approach to fixed income investing. Familiarise yourself with their recent research or strategies. This knowledge will not only help you answer questions more effectively but also allow you to ask insightful questions, showing your genuine interest in the role.
✨Prepare for Problem-Solving Questions
Expect to face some challenging problem-solving scenarios during the interview. Practice articulating your thought process clearly and methodically. Use examples from your academic or professional experience to illustrate how you tackle complex problems, as this will highlight your independent thinking and analytical skills.
