At a Glance
- Tasks: Analyse data and develop predictive models to drive trading strategies.
- Company: Join Cubist Systematic Strategies, a leader in systematic trading.
- Benefits: Competitive salary, mentorship from experts, and career progression opportunities.
- Other info: Collaborative environment with a focus on innovation and ethical standards.
- Why this job: Make an impact in finance by transforming raw data into actionable insights.
- Qualifications: Degree in a quantitative field and programming skills in Python or SQL.
The predicted salary is between 50000 - 70000 € per year.
About Cubist
Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
Role
Data Scientists bridge the gap between raw data and predictive modelling. We believe everything starts with data. You will work closely with our quantitative research team, applying advanced techniques to engineer, validate, and refine features that feed directly into our systematic models. This is a role within an established investment team, offering opportunities for progression into more senior research responsibilities across the full trading pipeline.
Responsibilities
- Conduct thorough data analysis under the mentorship of a senior quantitative researcher.
- Generate novel ideas for enhanced proprietary data products.
- Track and evaluate new offerings from internal and external data vendors in partnership with Compliance.
- Transform firm approved raw datasets into robust features for our systematic models.
- Build analytical tools to supplement our shared research framework.
Requirements
- BS, MS or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
- Programming in Python (or a comparable language) and working knowledge of SQL.
- Strong analytical and quantitative skills.
- Willingness to take ownership of their work.
- Ability to work both independently and collaboratively within a team.
- Strong desire to deliver high quality results in a timely fashion.
- High attention to detail.
- Prior experience as a data analyst, data sourcing specialist, or data scientist for a financial firm is a plus.
- Commitment to the highest ethical standards.
Data Scientist employer: Point72 Asset Management, L.P
Cubist Systematic Strategies is an exceptional employer that fosters a collaborative and innovative work culture, where Data Scientists are empowered to bridge the gap between raw data and predictive modelling. With a strong emphasis on employee growth, you will have the opportunity to advance into senior research roles while working alongside a talented quantitative research team in a dynamic environment. Located in a vibrant financial hub, we offer access to unparalleled resources and a commitment to ethical standards, making it a rewarding place for those seeking meaningful contributions in the finance sector.
Contact Detail:
Point72 Asset Management, L.P Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Cubist through LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for those interviews by brushing up on your Python and SQL skills. We want to show off our analytical prowess, so practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 3
Don’t just wait for job postings! Keep an eye on Cubist’s website and apply directly there. It shows initiative and we love seeing candidates who are proactive about their job search.
✨Tip Number 4
Showcase your passion for data! In interviews, share specific examples of how you've used data to solve problems or generate insights. We want to see that you live and breathe data science!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with data analysis, programming in Python, and any relevant projects that showcase your analytical skills. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team. Be sure to mention any specific experiences that relate to systematic trading or quantitative research.
Showcase Your Projects:If you've worked on any interesting data projects, don’t hold back! Include links to your GitHub or any portfolios that demonstrate your skills in transforming raw data into actionable insights. We love seeing practical applications of your work!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Cubist!
How to prepare for a job interview at Point72 Asset Management, L.P
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets relevant to the role. Familiarise yourself with common data sources and any specific datasets mentioned in the job description. Being able to discuss how you would transform raw data into features for systematic models will impress your interviewers.
✨Brush Up on Your Programming Skills
Since programming in Python and SQL is crucial for this role, ensure you can demonstrate your coding skills. Prepare to solve a coding challenge or discuss past projects where you applied these languages. Practising common algorithms and data manipulation techniques can give you an edge.
✨Showcase Your Analytical Mindset
Be ready to discuss your analytical approach to problem-solving. Think of examples where you’ve conducted thorough data analysis or generated novel ideas for data products. Highlighting your ability to think critically and creatively will resonate well with the quantitative research team.
✨Prepare Questions That Matter
Interviews are a two-way street, so come prepared with insightful questions about the team’s current projects or the company’s approach to data sourcing. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
