At a Glance
- Tasks: Uncover insights through research and data analysis to support investment decisions.
- Company: Join Point72, a leading global alternative investment firm with a focus on innovation.
- Benefits: Enjoy private medical insurance, generous leave policies, and wellness programmes.
- Other info: Collaborative environment with opportunities for growth and development.
- Why this job: Make an impact in finance by using data to solve real-world problems.
- Qualifications: Degree in relevant field and experience in research or consulting.
The predicted salary is between 36000 - 60000 £ per year.
On our proprietary research team—Market Intelligence—you will uncover insights about companies, industries, and the broader economy through deep compliant fundamental research and applying data science and engineering techniques to alternative data sets. In partnership with our investment professionals and Compliance team, our team of analysts, data scientists and engineers work together to produce compliant research and build tools that inform our firm’s investments. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within.
WHAT YOU’LL DO
As a Sector Analyst for European Equities, you will work with alternative data to gather industry context and business fundamentals. You will then partner with our team of data scientists and engineers to develop analyses that you’ll deliver as synthesized insights to our investment professionals to help aid in their research processes. The work is ever evolving, affording opportunities to tackle new challenges alongside research teammates from diverse backgrounds. Specifically, you will:
- Analyze and interpret alternative data from multiple sources and develop subject‑matter expertise on the key themes and KPIs that drive the industry and companies within your assigned coverage.
- Produce research for internal consumption by our investment professionals across a variety of mediums, including written research reports, verbal communication, and visualization tools.
- Interact directly with our investment professionals to learn the discretionary investment process and help them to drive more informed investment decisions.
- Collaborate with our proprietary research teams including Data Sourcing, Data Science, and Data Engineering, as well as Compliance, to source, evaluate, and draw value from new and existing data assets to produce actionable research for investment professionals.
WHAT’S REQUIRED
- An undergraduate or advanced degree with demonstrated academic success.
- One to five years of prior equity/investment/scientific/industry research or consulting experience, including any relevant internship experience.
- Proficiency with technical coding/programming and ability to participate in a live technical screen (SQL, Python).
- Experience leveraging data analysis as part of the fundamental research process for business, public policy, finance, engineering, applied sciences, or other quantitative fields.
- Comfort with analyzing novel data and explaining concepts to non‑technical partners.
- A passion for finance, research, and using data to solve problems.
- Great organizational skills to handle a demanding workload, creativity, and a strong work ethic.
- Ability to operate productively in a team environment.
- Strong verbal and written communication skills.
- Commitment to the highest ethical standards.
WE TAKE CARE OF OUR PEOPLE
- 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.
Sector Analyst, Proprietary Research employer: Point72
Point72 is an exceptional employer that prioritises the well-being and professional growth of its employees in the heart of London. With comprehensive benefits including private medical insurance, generous family leave, and wellness programmes, we foster a supportive work culture that encourages career development within a dynamic global investment firm. Join us to be part of a team that values compliance excellence and offers unique opportunities for advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Sector Analyst, Proprietary Research
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We think you need these skills to ace Sector Analyst, Proprietary Research
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Point72. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Point72
✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
