At a Glance
- Tasks: Uncover insights from complex data and drive data-driven investment initiatives.
- Company: Join Voleon, a leading tech company in AI and finance.
- Benefits: Competitive pay, great perks, tech talks, and a collaborative environment.
- Other info: Work alongside industry experts and enjoy excellent career growth opportunities.
- Why this job: Make a real impact in finance using cutting-edge AI and machine learning.
- Qualifications: 1+ years of experience with data analysis and statistical methods.
The predicted salary is between 50000 - 70000 € per year.
Voleon is a technology company that applies state‑of‑the‑art AI and machine learning techniques to real‑world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion‑dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning as well as highly experienced finance and technology professionals. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, and more.
The Voleon Group is forming a new team to help advance our data‑driven investment initiatives. As a Data Scientist, you will be responsible for finding insights from a complex array of data. Your role will involve data curation, analysis, interpretation, visualization, and communication of your findings to members of the research staff and leadership. This role is a means to make a difference: as a machine learning company, data insights are essential to our business.
Responsibilities- Design and implement systems to ensure data correctness and monitor data health in data stores and live feeds.
- Proactively identify abnormal production behaviour and communicate them clearly to relevant stakeholders.
- Perform extemporaneous analyses on research and production trading systems with leadership.
- Perform statistical analyses on production trading data and research data to inform further projects.
- Design and implement analysis pipelines that automate those analyses found to be valuable for ongoing monitoring.
- 1+ years of applied end‑to‑end industry experience, including internships working with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization.
- Experience using statistical methods to analyze data, identify patterns, conduct root cause analysis, discover insights, and recommend solutions.
- Ability to frame and answer questions mathematically.
- Ability to infer useful forward‑looking directions from results of retrospective analysis.
- Fluency in managing, processing, and visualizing tabular data using a combination of SQL, polars, and R.
- Basic software development skills and experience with bash, linux/unix, and git.
- Ability to refine requirements from ambiguous requests.
- Excellence in communication and ability to produce complete and clear reports.
- Bachelor’s degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or a related field).
- Clarity of mind is not optional.
- Master’s degree in a quantitative discipline.
- Prior industry experience or displayed interest in finance, such as related academic projects, coursework in financial engineering, or industry internships.
- Experience developing in a production‑facing environment and familiarity with standard concepts and tooling, e.g., CI/CD, Airflow.
Data Scientist (London) employer: The Voleon Group
Voleon is an exceptional employer, offering a dynamic and collaborative work environment in the heart of London, where innovation meets finance. With access to cutting-edge technology and a team of world-class experts, employees are encouraged to grow their skills through engaging projects and technology talks. The company provides competitive compensation and benefits, making it an ideal place for those seeking meaningful and rewarding careers in data science.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (London)
✨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
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI and machine learning. Practice explaining complex concepts in simple terms, as communication is key in this field.
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your data analysis and visualisation skills. Use platforms like GitHub to share your code and demonstrate your problem-solving abilities.
✨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, it shows you’re genuinely interested in joining our team at Voleon.
We think you need these skills to ace Data Scientist (London)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with complex datasets and any relevant projects that showcase your skills in data curation, analysis, and visualisation. 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 AI and machine learning in finance. Share specific examples of your work and how it aligns with our mission at Voleon. Let us know why you’re the perfect fit!
Showcase Your Technical Skills:Don’t forget to highlight your technical skills! Mention your proficiency in SQL, R, and any other tools you've used for data analysis. We love seeing candidates who can manage and visualise data effectively, so make sure this stands out in your application.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, it helps us keep track of your application better!
How to prepare for a job interview at The Voleon Group
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving complex datasets. Be ready to discuss specific examples of how you curated, analysed, and visualised data. This will show your practical experience and understanding of the role.
✨Brush Up on Statistical Methods
Make sure you're comfortable with statistical methods relevant to data analysis. Prepare to explain how you've used these techniques to identify patterns or insights in your previous work. Being able to articulate your thought process will impress the interviewers.
✨Familiarise Yourself with Tools and Technologies
Since the role requires fluency in SQL, polars, and R, ensure you can demonstrate your skills with these tools. Consider preparing a mini-project or example that showcases your ability to manage and visualise tabular data effectively.
✨Communicate Clearly and Confidently
Practice explaining your findings and analyses in a clear and concise manner. The ability to communicate complex ideas simply is crucial, especially when discussing insights with stakeholders. Mock interviews can help you refine this skill.
