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For Companies At a Glance
- Tasks: Analyse diverse data to drive investment decisions and support innovative strategies.
- Company: Join Point72, a leading global alternative investment firm with a focus on growth.
- Benefits: Enjoy private medical insurance, generous leave policies, and wellness programmes.
- Other info: Dynamic environment with a commitment to diversity and employee development.
- Why this job: Kickstart your career in finance with hands-on experience and cutting-edge technology.
- Qualifications: Undergraduate degree, strong coding skills, and a passion for data analysis.
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.
- 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 assistance
- Non‑contributory pension and more
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.
Fundamental Equities Data Analyst - EMEA employer: Point72
Contact Detail:
Point72 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fundamental Equities Data Analyst - EMEA
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Point72 on LinkedIn. Ask them about their experiences and any tips they might have for landing the role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your coding skills and data analysis techniques. Be ready to discuss how you've tackled complex datasets in the past. Show us your problem-solving prowess!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your teamwork and communication abilities too. Point72 values collaboration, so share examples of how you’ve worked effectively in teams.
✨Tip Number 4
Apply through our website for a smoother process! It shows you're genuinely interested in the role and gives you a better chance of being noticed. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Fundamental Equities Data Analyst - EMEA
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Fundamental Equities Data Analyst. Highlight relevant coursework, coding skills, and any experience with data analysis that 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 in finance and how your skills can contribute to our team at Point72. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any relevant projects, whether in school or on your own, make sure to mention them. We love seeing practical applications of your skills, especially if they involve data visualisation or predictive modelling.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Point72.
How to prepare for a job interview at Point72
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of data you’ll be working with, especially structured and unstructured data. Brush up on your statistical concepts and how they apply to financial datasets, as this will show your analytical prowess during the interview.
✨Show Off Your Coding Skills
Be prepared to discuss your coding experience, particularly in Python or R. Bring examples of projects where you've built data products or predictive models, and be ready to explain your thought process and the impact of your work.
✨Demonstrate Your Problem-Solving Ability
Think of a few complex issues you've tackled in the past and how you approached them. Highlight your systematic and creative problem-solving skills, as these are crucial for a role that involves analysing diverse datasets and generating actionable insights.
✨Emphasise Teamwork and Communication
Point72 values collaboration, so be ready to share experiences where you worked effectively in a team. Discuss how you communicated complex data findings to non-technical stakeholders, showcasing your ability to translate business questions into data-driven solutions.