At a Glance
- Tasks: Collaborate with researchers and traders to optimise trading activities using data science and Python.
- Company: Leading trading firm known for exceptional compensation and benefits.
- Benefits: Competitive salary, relocation packages, remote work allowance, and career growth opportunities.
- Other info: Dynamic environment with world-class professionals and supportive culture.
- Why this job: Gain deep insights into quant trading while leveraging your tech skills for real impact.
- Qualifications: 2+ years in Python, strong Pandas experience, and a STEM degree.
The predicted salary is between 48000 - 72000 £ per year.
Quant Data Engineer - London OR Dublin - leading trading firm - exceptional comp & bens
Our world-renowned client is looking to hire a Quant Data Engineer into a varied role at the intersection of technology, data science, and quantitative research.
Responsibilities
As part of the Quant Engineering and Data team, you’ll sit closely with Researchers, Developers and Traders and collaborate on a range of technology projects including:
- Research enablement work related to trading activities, using a range of data science, analysis, and engineering skills.
- Writing, testing, and deploying Python code that creates new model features, analyses complex datasets, optimizes algorithms/quant code, and defines data orchestration.
- Partnering with researchers in the research development process, and take on coding tasks that optimise research project delivery.
This role offers a unique chance to gain a deep understanding of quant trading while leveraging your technical expertise to drive results.
What you'll bring
- 2+ years professional experience in Python, including use of NumPy and other scientific libraries.
- A passion for working with data / dataframes and solving data-related challenges. Strong Pandas experience is required.
- Minimum bachelors degree in a STEM subject at a reputable academic institution.
- A desire to work closely with Researchers and accelerate their research.
- The ability to self-manage, self-motivate, and seek process improvement opportunities.
- Strong interpersonal and communication skills that enable you to collaborate effectively.
- Attention to detail and ability to react to changing priorities.
- Experience working in a Linux environment.
Why Join?
- Exceptional compensation and benefits on offer with world class office settings
- Partner with world-class researchers, traders and technologists, seeing tangible results from your work.
- Attractive relocation packages for the successful applicant + family
- Grow your career in a dynamic and supportive environment.
- Annual remote working allowance.
Vertex Search is acting as a recruitment agency on this requirement.
Quantitative Data Engineer in London employer: Vertex Search
Join a leading trading firm in London or Dublin, where exceptional compensation and benefits await you as a Quantitative Data Engineer. Experience a dynamic work culture that fosters collaboration with world-class researchers and traders, while enjoying attractive relocation packages and opportunities for career growth in a supportive environment. With a focus on innovation and technology, this role offers the chance to make a meaningful impact in the field of quantitative trading.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that Quant Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving data analysis and algorithm optimisation. 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 coding skills and understanding of data structures. We recommend practicing common interview questions and even doing mock interviews with friends or mentors.
✨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 passionate individuals who want to make an impact in the world of quant trading.
We think you need these skills to ace Quantitative Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quant Data Engineer role. Highlight your Python experience, especially with NumPy and Pandas, and any relevant projects that showcase your data skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how your background aligns with our needs. Don’t forget to mention your desire to collaborate with researchers and traders – we love teamwork!
Showcase Your Projects:If you've worked on any interesting projects or have a GitHub profile, make sure to include them in your application. We’re keen to see your coding skills in action, especially anything related to data analysis or algorithm optimisation.
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 you’re serious about joining our awesome team!
How to prepare for a job interview at Vertex Search
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially with libraries like NumPy and Pandas. Be ready to discuss specific projects where you've used these tools to solve data challenges, as this will show your practical experience.
✨Understand Quant Trading Basics
Familiarise yourself with the fundamentals of quantitative trading. Being able to speak intelligently about how data science intersects with trading activities will impress your interviewers and demonstrate your genuine interest in the role.
✨Prepare for Technical Questions
Expect technical questions that may involve coding challenges or problem-solving scenarios. Practise coding on platforms like LeetCode or HackerRank to sharpen your skills and get comfortable with thinking on your feet.
✨Showcase Your Collaboration Skills
Since the role involves working closely with researchers and traders, be prepared to share examples of how you've successfully collaborated in past projects. Highlight your communication skills and ability to adapt to changing priorities.
