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- Tasks: Collaborate with researchers and traders on innovative tech projects in quant trading.
- Company: Leading trading firm known for exceptional compensation and benefits.
- Benefits: Competitive salary, relocation packages, remote work allowance, and career growth opportunities.
- Why this job: Gain deep insights into quant trading while leveraging your coding skills to drive impactful results.
- Qualifications: Bachelor's degree in STEM and 3+ years of Python experience required.
- Other info: Dynamic environment with a focus on collaboration and process improvement.
The predicted salary is between 43200 - 72000 £ per year.
Quantitative Engineer
Location: London, Greater London, UK, EC2V 8
Company: Apply4U
Job Description: Quant Engineer – Data – London OR Dublin – leading trading firm – exceptional comp & bens
Our world-renowned client is looking to hire 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
- Minimum bachelor\’s degree in a STEM subject at a reputable academic institution.
- 3+ years professional experience in Python including use of NumPy, Pandas and other scientific libraries.
- Experience working in a Linux environment.
- 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.
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.
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Quantitative Engineer employer: Vertex Inc.
Contact Detail:
Vertex Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨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 interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates. Let’s get you that dream job!
We think you need these skills to ace Quantitative Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Engineer role. Highlight your experience with Python, data science, and any relevant projects that showcase your skills in a Linux environment. 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 quantitative engineering and how your background aligns with our needs. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Technical Skills: Don’t forget to mention your technical skills, especially your experience with libraries like NumPy and Pandas. We’re looking for someone who can hit the ground running, so make sure we know what you can do right from the start!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Vertex Inc.
✨Know Your Tech 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, as well as any challenges you faced and how you overcame them.
✨Understand the Quantitative Landscape
Familiarise yourself with the basics of quantitative trading and data science. Research the company’s approach to trading and be prepared to discuss how your skills can contribute to their goals. This shows genuine interest and helps you stand out.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving abilities. Practice coding problems in a Linux environment, as this is crucial for the role. Use platforms like LeetCode or HackerRank to sharpen your skills before the interview.
✨Showcase Your Collaboration Skills
Since the role involves working closely with researchers and traders, be ready to share examples of past teamwork experiences. Highlight how you’ve effectively communicated complex ideas and contributed to successful project outcomes.
