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- Tasks: Drive fixed income strategies by sourcing and leveraging data across various approaches.
- Company: Leading global quantitative hedge fund with a focus on innovation.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Other info: Collaborative environment with a strong emphasis on career development.
- Why this job: Make a significant impact in finance while working with cutting-edge data science techniques.
- Qualifications: 2+ years as a Data Scientist with expertise in fixed income data and advanced Python skills.
The predicted salary is between 60000 - 80000 £ per year.
I am partnered with a leading global quantitative hedge fund to find an exceptional Data Scientist with a Fixed Income specialism. This is a high-impact, cross-functional role where you will be central to the firm's fixed income strategies, driving how data is sourced, onboarded, and leveraged across systematic and discretionary approaches.
You will:
- Collaborate closely with Quantitative Researchers and Traders
- Design datasets that power systematic strategies
- Prototype and build data pipelines covering fixed income market, reference, and pricing data
- Automate and scale your work
- Manage the full lifecycle of data onboarding across bonds, rates, credit, and derivatives.
Experience & Background:
- 2+ years as a Data Scientist working specifically with fixed income data
- Solid understanding of fixed income markets and instruments
- Advanced Python programming, including Pandas and NumPy
Fixed Income Data Science Engineer employer: Stanford Black Limited
Contact Detail:
Stanford Black Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fixed Income Data Science Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the fixed income space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to fixed income. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding fixed income instruments. We recommend practicing coding challenges and discussing your thought process out loud during mock interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talented individuals like you to join our team!
We think you need these skills to ace Fixed Income Data Science Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with fixed income data and Python programming in your application. We want to see how you've used these skills in real-world scenarios, so don't hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to the job description, especially those involving data pipelines and collaboration with researchers or traders.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it's relevant to the role. Make it easy for us to see why you're a great fit!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Stanford Black Limited
✨Know Your Fixed Income Stuff
Make sure you brush up on your knowledge of fixed income markets and instruments. Be ready to discuss how different data sources impact trading strategies, as this will show your understanding of the role's core responsibilities.
✨Show Off Your Python Skills
Since advanced Python programming is key for this position, prepare to demonstrate your skills. Bring examples of past projects where you've used Pandas and NumPy to manipulate and analyse data, and be ready to solve a coding challenge during the interview.
✨Collaborate Like a Pro
This role involves working closely with Quantitative Researchers and Traders, so highlight your teamwork experience. Share specific examples of how you've collaborated on data-driven projects and how you’ve contributed to achieving common goals.
✨Think Automation and Scalability
Be prepared to discuss how you've automated processes in your previous roles. Think about ways you've scaled data pipelines or improved efficiency, as this will resonate well with the firm's focus on systematic strategies.