At a Glance
- Tasks: Enhance reference data products and ensure data quality for trading strategies.
- Company: Optiver, a leading trading firm in Greater London.
- Benefits: Performance-based bonus, extensive vacation days, and a supportive work environment.
- Other info: Exciting opportunities for career growth in a fast-paced industry.
- Why this job: Join a dynamic team and shape the future of trading data infrastructure.
- Qualifications: Proficient in C++, C, C#, or Python with strong engineering fundamentals.
The predicted salary is between 60000 - 80000 £ per year.
Optiver in Greater London is seeking a Data Software Engineer to enhance reference data products that support trading strategies. You will set technical direction and ensure data quality while designing critical components of the data infrastructure.
The ideal candidate will be skilled in C++, C, C#, and/or Python, possess strong engineering fundamentals, and show a pragmatic approach to data modelling.
The role offers numerous benefits including a performance-based bonus and extensive vacation days.
Reference Data Engineer — Trading Data Platform employer: Optiver
Optiver is an exceptional employer located in Greater London, offering a dynamic work culture that fosters innovation and collaboration among talented professionals. With a strong emphasis on employee growth, you will have access to extensive training opportunities and a performance-based bonus structure, ensuring your contributions are recognised and rewarded. Join us to be part of a forward-thinking team dedicated to enhancing trading strategies through cutting-edge data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Reference Data Engineer — Trading Data Platform
✨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 Optiver!
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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 Optiver.
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We think you need these skills to ace Reference Data Engineer — Trading Data Platform
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 Optiver, 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 Optiver. 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 Optiver
✨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 Optiver!
✨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.
