At a Glance
- Tasks: Support a systematic fixed income pod with trading and development tasks.
- Company: Millennium, a leading firm in the finance sector.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Other info: Collaborate directly with a Portfolio Manager in London.
- Why this job: Join a fast-paced team and make an impact in quantitative trading.
- Qualifications: STEM degree, 2-4 years experience, and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
Millennium is seeking a hybrid Quantitative Developer / Trader to support a systematic fixed income pod in London. You will work directly with the Portfolio Manager on execution, data pipelines, and quantitative tooling, balancing trading and development tasks in a fast-paced environment.
The role requires:
- A STEM degree
- 2–4 years of relevant experience
- Strong Python skills (Pandas/NumPy)
- Attention to accuracy in execution and counterparty interactions
Fixed Income Quant Trader & Developer in London employer: Millennium
Millennium is an exceptional employer that fosters a culture of innovation and collaboration, empowering its employees to take ownership of their ideas while providing robust support through a global network. Located in a dynamic environment, the firm offers unparalleled opportunities for professional growth and development, particularly for Java Developers in Algo Development Technology, where you can work on cutting-edge trading systems and enhance your expertise in a fast-paced setting. With a commitment to continuous learning and a focus on impactful results, Millennium stands out as a place where talented individuals can thrive and make a significant difference.
StudySmarter Expert Advice🤫
We think this is how you could land Fixed Income Quant Trader & Developer in London
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We think you need these skills to ace Fixed Income Quant Trader & Developer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Millennium. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
