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.
- Why this job: Be at the forefront of investing while developing your analytical and coding skills.
- Qualifications: Undergraduate degree, strong coding skills, and a passion for data analysis.
- Other info: Access unparalleled training through Point72 University and thrive in a supportive culture.
The predicted salary is between 36000 - 60000 ÂŁ per year.
A Career in Long/Short Equities at Point72. Long/Short Equity is Point72's core strategy and its success is dependent upon our sectorâbased 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 you 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 youâll 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 Complianceâapproved 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 forwardâlooking 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 realâtime, producing actionable insights to support timely decisionâmaking.
- Optimize and scale existing data infrastructure to enhance performance, reliability, and adaptability in handling complex, highâvolume data streams.
- Develop and maintain highâquality, efficient, and modular code, creating wellâdocumented 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.
Whatâs 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 timeâseries data.
- Strong understanding of statistical concepts and their application to largeâscale data analysis, with an interest in applying these skills to financial datasets.
- Strong coding skills in a highâlevel 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 problemâsolving skills, with the ability to approach complex issues systematically and creatively.
- Demonstrated capacity to translate business questions into dataâdriven solutions.
- Team player with an entrepreneurial spirit and good communication skills.
- Deep intellectual curiosity and lifelongâlearning mindset.
- Commitment to the highest ethical standards.
We take care of our people
We invest in our people, their careers, their health, and their wellâbeing. When you work here, we provide:
- Private Medical and Dental Insurances
- Generous parental and family leave policies
- Volunteer opportunities
- Support for employeeâled affinity groups representing women, people of colour and the LGBQT+ community
- Mental and physical wellness programmes
- Tuition assistance
- Nonâcontributory 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 investorâled culture and committing to our people's longâterm growth.
L/S Data Analyst - EMEA in London employer: Point72 Asset Management, L.P
Contact Detail:
Point72 Asset Management, L.P Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land L/S Data Analyst - EMEA in London
â¨Tip Number 1
Network like a pro! Reach out to current employees at Point72 on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
â¨Tip Number 2
Prepare for those interviews by brushing up on your data analysis skills. Be ready to discuss how you've tackled complex datasets and the tools you used. Show us your problem-solving prowess!
â¨Tip Number 3
Donât forget to showcase your coding skills! Whether itâs Python or R, be prepared to demonstrate your ability to create data visualisations and predictive models. We want to see your creativity in action!
â¨Tip Number 4
Apply through our website for a smoother process. It shows you're serious about joining us at Point72 and helps us keep track of your application. Plus, youâll find all the latest opportunities there!
We think you need these skills to ace L/S Data Analyst - EMEA in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the L/S Data Analyst role. Highlight relevant coursework, projects, and experiences that showcase your quantitative skills and familiarity with data analysis. 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 analysis in the finance sector and how you can contribute to our team. Keep it concise but impactful â we love a good story!
Show Off Your Coding Skills: Since coding is key for this role, make sure to mention your experience with programming languages like Python or R. If you've worked on any relevant projects, donât hesitate to include them. Weâre keen to see your technical prowess!
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way to ensure your application gets into the right hands. Plus, it shows us youâre serious about joining our team at Point72!
How to prepare for a job interview at Point72 Asset Management, L.P
â¨Know Your Data Inside Out
Before the interview, dive deep into the types of data you'll be working with. Familiarise yourself with structured and unstructured data, and brush up on your statistical concepts. Being able to discuss how youâve applied these skills in past projects will show your potential employer that youâre ready to hit the ground running.
â¨Show Off Your Coding Skills
Make sure you can demonstrate your coding prowess in languages like Python or R. Prepare to discuss specific projects where you've built data products or predictive models. If you have experience with version control systems like Git, mention it! This will highlight your collaborative development practices.
â¨Prepare for Problem-Solving Questions
Expect to tackle some complex issues during the interview. Practice articulating your thought process when approaching data analysis problems. Use examples from your experience to illustrate how you systematically and creatively solved challenges, especially those related to financial datasets.
â¨Emphasise Your Team Spirit
Point72 values collaboration, so be ready to discuss how you work within a team. Share experiences where you partnered with others to achieve a common goal, particularly in data analysis or investment contexts. Highlight your communication skills and entrepreneurial spirit to show youâre a great fit for their culture.