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For Companies At a Glance
- Tasks: Analyse data to drive investment decisions and support innovative research.
- Company: Join Point72, a leading global alternative investment firm.
- Benefits: Enjoy private medical insurance, generous leave policies, and wellness programmes.
- Why this job: Be at the forefront of investing with access to top-notch training and career growth.
- Qualifications: Undergraduate degree, strong coding skills, and a passion for data analysis.
- Other info: Dynamic team environment with a commitment to diversity and ethical standards.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Join to apply for the L/S Data Analyst – EMEA role at Point72
A Career in Long/Short Equities at Point72
Long/Short Equity is Point72’s core strategy and its success is dependent upon our sector‑based investing teams. Using fundamental research, our research analysts inform the investment strategies of our portfolio managers. Through our Point72 University, you have access to an unparalleled training and coaching curriculum to help foster your success. We offer a clear path based on your abilities, willingness to work hard, and performance. Join us if you’re looking for a career at the forefront of investing.
What you’ll do
As a data analyst embedded in an investing team, you will help drive innovation by leveraging a variety of data sources and systems. You will work directly with a portfolio manager and their team of research analysts to connect data and fundamental research. Your work will support investment theses and help inform investment decisions. Specifically, you will:
- Help analyze a broad universe of compliance‑approved data to directly influence idea generation and investment decisions, with an emphasis on equities.
- Design, build, and maintain data products and predictive models that enable analysis of key performance indicators (KPIs) and forward‑looking metrics relevant to your specific sector.
- Investigate and explore innovative approaches to extract meaningful information from complex datasets.
- Develop agile, automated systems that rapidly ingest, synthesize, and analyze diverse sets of information in real‑time, producing actionable insights to support timely decision‑making.
- Optimize and scale existing data infrastructure to enhance performance, reliability, and adaptability in handling complex, high‑volume data streams.
- Develop and maintain high‑quality, efficient, and modular code, creating well‑documented custom libraries and data pipelines that enhance the team’s analytical capabilities and ensure reproducibility of results.
- Stay on top of the newest technologies approved for use across the firm.
- Partner with Compliance on various initiatives such as approved data sources, permissibility of systems, and analytics.
What’s Required
- Undergraduate degree or higher.
- Quantitative ability as demonstrated through relevant coursework or work equivalent.
- Experience working with diverse data types including structured, unstructured (e.g., text), and time‑series data.
- Strong understanding of statistical concepts and their application to large‑scale data analysis, with an interest in applying these skills to financial datasets.
- Strong coding skills in a high‑level programming language (e.g., Python, R, or similar). Familiarity with version control systems (such as Git) and collaborative development practices.
- Strong data visualization skills, with experience in creating informative visualizations using coding languages like Python or R.
- Strong analytical and problem‑solving skills, with the ability to approach complex issues systematically and creatively. Demonstrated capacity to translate business questions into data‑driven solutions.
- Team player with an entrepreneurial spirit and good communication skills.
- Deep intellectual curiosity and lifelong‑learning mindset.
- Commitment to the highest ethical standards.
Benefits
- Private Medical and Dental Insurances
- Generous parental and family leave policies
- Volunteer opportunities
- Support for employee‑led affinity groups representing women, people of colour and the LGBQT+ community
- Mental and physical wellness programmes
- Tuition assistanceNon‑contributory pension and more
Seniority level
Entry level
Employment type
Full‑time
Job function
Information Technology
About Point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor‑led culture and committing to our people’s long‑term growth.
For more information, visit www.Point72.com/working-here. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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L/S Data Analyst - EMEA employer: Point72
Contact Detail:
Point72 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land L/S Data Analyst - EMEA
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Point72 on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills. Be ready to discuss how you've tackled complex datasets and what tools you used. We want to see your problem-solving chops!
✨Tip Number 3
Show off your coding skills! If you’ve built any cool data products or visualisations, bring them along to the interview. It’s a great way to demonstrate your hands-on experience and creativity.
✨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 serious about joining the team at Point72.
We think you need these skills to ace L/S Data Analyst - EMEA
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the L/S Data Analyst role. Highlight relevant coursework, coding skills, and any experience with data analysis. We want to see how your background aligns with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analysis and how you can contribute to our team. Be sure to mention your interest in financial datasets and innovative approaches.
Showcase Your Skills: Don’t just list your skills—show us how you’ve used them! Include examples of projects where you’ve worked with diverse data types or created visualisations. This will help us see your analytical capabilities in action.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Point72
✨Know Your Data
Make sure you brush up on your understanding of different data types, especially structured and unstructured data. Be ready to discuss how you've worked with these in the past and how they can be applied to financial datasets.
✨Show Off Your Coding Skills
Since strong coding skills are a must for this role, prepare to demonstrate your proficiency in languages like Python or R. You might even want to bring along a sample project or two that showcases your ability to create data products or visualisations.
✨Understand the Investment Landscape
Familiarise yourself with the Long/Short Equity strategy and how data analysis plays a role in investment decisions. Being able to connect your analytical skills to real-world investment scenarios will impress the interviewers.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects or the technologies they use. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.
