At a Glance
- Tasks: Collaborate with researchers and traders to optimise data-driven trading strategies.
- 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 60000 - 80000 £ per year.
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 bachelor's 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.
Quantitative Data Engineer in Cardiff 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 providing ample opportunities for professional growth and development. With attractive relocation packages and a supportive environment, this role offers a unique 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 Cardiff
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Vertex Search!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Quantitative Data Engineer at Vertex Search.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Vertex Search.
✨Apply Directly through Our Website
When you find a suitable opening like Quantitative Data Engineer at Vertex Search, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Quantitative Data Engineer in Cardiff
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Vertex Search, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Vertex Search. 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!
How to prepare for a job interview at Vertex Search
✨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!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Vertex Search!
✨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.
