At a Glance
- Tasks: Analyse alternative data to uncover insights and support investment decisions.
- Company: Join Point72, a leading global alternative investment firm with a focus on innovation.
- Benefits: Enjoy fully paid healthcare, generous leave policies, wellness programs, and tuition assistance.
- Other info: Great career growth opportunities with a culture that values diversity and ethical standards.
- Why this job: Make an impact by collaborating with diverse teams and tackling exciting challenges in finance.
- Qualifications: Degree in relevant field, coding skills (SQL, Python), and a passion for data analysis.
The predicted salary is between 54000 - 66000 £ per year.
A career with Point72's Market Intelligence team. On our proprietary research team - Market Intelligence - you'll partner with our investment professionals and Compliance team to work with alternative data to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques. You'll work alongside a talented team with diverse skills, backgrounds, and perspectives.
As a sector analyst, 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 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 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 from them and help 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, explore, and transform new and existing data assets to produce actionable research for investment professionals.
What's required:
- An undergraduate degree or advanced degree with demonstrated academic success.
- One to five years of prior equity/investment/scientific research or consulting experience, including any relevant internship experience.
- Comfort with analyzing novel data and explaining concepts to non-technical partners.
- Basic proficiency with technical coding/programming (SQL, Python).
- Great organizational skills to handle a demanding workload, creativity, and a strong work ethic.
- An understanding of and passion for how companies, industries, and sectors operate and function.
- Elevated business intuition and an innate ability to structure ambiguous problems and solve them in innovative and creative ways.
- Excellent attention to detail, organization, and project management skills.
- Ability to operate productively in a team environment.
- Strong verbal and written communication skills.
- Experience leveraging data analysis as part of fundamental research process for business, public policy, finance, engineering, applied sciences, or other quantitative.
- Commitment to the highest ethical standards.
We take care of our people. We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
- Fully paid health care benefits.
- Generous parental and family leave policies.
- Mental and physical wellness programs.
- Volunteer opportunities.
- Non-profit matching gift program.
- Support for employee-led affinity groups representing women, minorities and the LGBTQ community.
- Tuition assistance.
- A 401(k) savings program with an employer match 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 our 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.
The annual base salary range for this role is $95,000-$115,000, which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
Sector Analyst, MI-Data employer: Aplaro Ltd
Baringa is an exceptional employer that fosters a collaborative and innovative work culture, particularly in the vibrant Energy & Infrastructure sector. With a strong focus on employee development, you will have access to numerous growth opportunities while working alongside industry experts on impactful projects that shape the future of energy and utilities. Located in a dynamic environment, Baringa offers a unique chance to engage with diverse clients and contribute to meaningful change in the renewable infrastructure landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Sector Analyst, MI-Data
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We think you need these skills to ace Sector Analyst, MI-Data
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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How to prepare for a job interview at Aplaro Ltd
✨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.
