Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a passionate team to empower predictive modelling in finance through data solutions.
- Company: Cubist, a leader in data services for systematic Portfolio Managers.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Why this job: Make an impact in the financial world by working with cutting-edge data technologies.
- Qualifications: Basic programming skills in Python and SQL; financial experience is a plus.
- Other info: Dynamic team atmosphere with a focus on collaboration and innovation.
The predicted salary is between 36000 - 60000 £ per year.
We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist’s data services group is looking for a Data Scientist to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.
This exceptional individual will be a member of a small team of Data Scientists who play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments.
Responsibilities
- Identifying potential data sources
- Coordinate with compliance team and legal team on new vendor trial/subscription process
- Assist with collecting and maintaining overviews and vendor content offering
- Assist with data questions and requests from investment teams
- Setting up feed download and monitor check in database
- Monitoring the automated data collection and cleansing infrastructure
- Coordinating meetings and conference calls between data users and experts
- Assist in organizing presentations
- Handle user requests and answer questions about data
- Download trial datasets from vendor FTP sites or other delivery mechanism
- Assist Data Team with manual data processing as required
- Maintain Cubist Data Wiki contents
Requirements
- Basic level programming experience in Python and SQL
- Experience with AWS and Airflow preferred but not required
- Financial industry experience preferred but not required
- Strong organization, communication and interpersonal skills
- Attention to detail and a love of process
- Strong oral and written communication skills
- Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues
- Ability to multitask and prioritize assignments
Data Scientist in London employer: Point72
Contact Detail:
Point72 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Cubist on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that showcases your data science abilities. Bring it up during interviews to demonstrate your hands-on experience and problem-solving skills.
✨Tip Number 3
Be ready for technical questions! Brush up on Python, SQL, and any relevant tools like AWS or Airflow. Practising common data science problems can help you feel more confident when they pop up.
✨Tip Number 4
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 Cubist.
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data! Share any personal projects or experiences that highlight your love for data and how it drives you. We want to know what makes you tick!
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Scientist role. Highlight relevant skills like Python, SQL, and any experience with AWS or Airflow. We appreciate when candidates take the time to align their experience with our needs.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it's relevant. We value strong communication skills, so make sure your written application reflects that!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Point72
✨Know Your Data
Make sure you brush up on your data knowledge before the interview. Familiarise yourself with common data sources and tools like Python and SQL, as well as any relevant experience you have with AWS or Airflow. Being able to discuss these confidently will show that you're ready to dive into the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled data-related challenges. Think about times when you identified a data source or improved a process. This will demonstrate your analytical thinking and how you can contribute to the team’s success.
✨Communicate Clearly
Since strong communication skills are key for this role, practice explaining complex data concepts in simple terms. You might be asked to coordinate with various teams, so showing that you can articulate your thoughts clearly will be a big plus.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data processes and the team dynamics. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to engage with your interviewers!
