Data Scientist (Fixed Income, Quant Trading) in London

Data Scientist (Fixed Income, Quant Trading) in London

London Full-Time 100000 - 150000 € / year (est.) No home office possible
NJF Global Holdings Ltd

At a Glance

  • Tasks: Design and manage datasets for systematic strategies in Fixed Income trading.
  • Company: Top-tier global quant investment manager with a dynamic culture.
  • Benefits: Competitive salary, performance-based compensation, and opportunities for innovation.
  • Other info: Collaborative environment with room for experimentation and career growth.
  • Why this job: Shape the future of trading with cutting-edge data techniques and tools.
  • Qualifications: 2+ years in Fixed Income data, strong Python skills, and a quantitative degree.

The predicted salary is between 100000 - 150000 € per year.

A top-tier global quant and systematic investment manager is hiring a Data Scientist with a strong Fixed Income background. This is a cross-functional role at the intersection of Research, Trading, and Engineering — with direct ownership of how Fixed Income data is sourced, structured, and deployed across the firm's strategies.

The Role

  • Working closely with Quantitative Researchers, Traders, and Engineers, you’ll design datasets that power systematic strategies and inform discretionary trading.
  • Extracting, cleaning, and aggregating data from diverse raw sources (market data, reference data, pricing feeds).
  • Automating and optimising pipelines.
  • Managing end-to-end onboarding of Fixed Income datasets spanning bonds, rates, credit, and derivatives.
  • There’s also genuine scope to experiment with novel extraction methods and shape the firm’s data toolkit.

Your Background

  • 2+ years working with Fixed Income data in a Data Scientist or equivalent role.
  • Solid grasp of Fixed Income markets — bonds, rates, credit, yield curves, derivatives.
  • Postgraduate degree in a quantitative discipline (Maths, Physics, Engineering, or similar).
  • Advanced Python with strong Pandas/NumPy proficiency.
  • Proven end-to-end pipeline experience, from sourcing and extraction through to delivery.
  • Strong communicator, comfortable across researchers, traders, engineers, and vendors.
  • At ease in a high-performance, fast-moving environment.

Data Scientist (Fixed Income, Quant Trading) in London employer: NJF Global Holdings Ltd

Join a top-tier global quant and systematic investment manager that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact trading strategies. With competitive compensation and opportunities for professional growth, you'll thrive in an environment that encourages experimentation and the development of cutting-edge data solutions. Located in a vibrant financial hub, this role provides access to a network of industry leaders and resources, making it an ideal place for ambitious Data Scientists looking to advance their careers.

NJF Global Holdings Ltd

Contact Detail:

NJF Global Holdings Ltd Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist (Fixed Income, Quant Trading) in London

Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at 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 data projects, especially those related to Fixed Income. This gives you a chance to demonstrate your expertise beyond the application.

Tip Number 3

Prepare for interviews by brushing up on your technical skills and market knowledge. Be ready to discuss how you've tackled real-world data challenges in your previous roles.

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive!

We think you need these skills to ace Data Scientist (Fixed Income, Quant Trading) in London

Fixed Income Data Analysis
Data Extraction
Data Cleaning
Data Aggregation
Pipeline Automation
End-to-End Data Management
Quantitative Research

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to highlight your experience with Fixed Income data and any relevant projects. We want to see how your background aligns with the role, so don’t be shy about showcasing your skills in Python and data pipelines!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about the intersection of research, trading, and engineering. We love seeing candidates who can communicate their enthusiasm for the role and the impact they can make.

Showcase Your Projects:If you've worked on any interesting projects related to data extraction or optimisation, make sure to mention them! We appreciate candidates who can demonstrate their hands-on experience and innovative thinking in the field.

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 shows us you’re keen to join our team at StudySmarter!

How to prepare for a job interview at NJF Global Holdings Ltd

Know Your Fixed Income Stuff

Make sure you brush up on your knowledge of Fixed Income markets, including bonds, rates, and derivatives. Be ready to discuss how these elements influence trading strategies and how your experience aligns with the role.

Show Off Your Data Skills

Prepare to demonstrate your proficiency in Python, especially with libraries like Pandas and NumPy. You might be asked to solve a problem or optimise a pipeline during the interview, so practice coding challenges related to data extraction and cleaning.

Communicate Like a Pro

Since this role involves working closely with researchers, traders, and engineers, practice explaining complex concepts in simple terms. Think about how you can convey your ideas clearly and effectively to different audiences.

Be Ready to Innovate

The firm values experimentation with novel extraction methods, so come prepared with examples of how you've approached data challenges creatively in the past. Show them that you're not just a follower of best practices but also a thinker who can contribute to their data toolkit.