At a Glance
- Tasks: Develop high-performance services and pipelines for real-time trading data.
- Company: Hunter Bond, a leading firm in the financial tech sector.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborate with traders on performance-sensitive platforms.
- Why this job: Join a specialized team and make an impact in real-time trading.
- Qualifications: CompSci degree and 4+ years of software development experience.
The predicted salary is between 60000 - 84000 £ per year.
Hunter Bond is seeking a high-impact engineer in Greater London to join a specialized team focused on a real-time risk and trading data platform. The ideal candidate will have a CompSci degree and over 4 years of experience in building production software and data systems.
The role involves developing high-performance services and pipelines for portfolio monitoring and collaborating with traders on complex, performance-sensitive platforms. If you're ready to build software where performance matters, apply now!
Real-Time Trading Data Engineer (Python) in London employer: Hunter Bond
Hunter Bond is an exceptional employer that fosters a dynamic and innovative work culture in the heart of Greater London. With a strong emphasis on employee growth, we offer opportunities for professional development and collaboration with industry experts, ensuring that our team members thrive in their careers while contributing to cutting-edge projects in real-time trading data. Join us to be part of a forward-thinking environment where your contributions directly impact performance-sensitive platforms and drive success.
StudySmarter Expert Advice🤫
We think this is how you could land Real-Time Trading Data Engineer (Python) in London
✨Get Involved in Data Science Meetups
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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 Hunter Bond.
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We think you need these skills to ace Real-Time Trading Data Engineer (Python) 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!
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 Hunter Bond, 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 Hunter Bond. 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 Hunter Bond
✨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 Hunter Bond!
✨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.
