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- Tasks: Transform complex datasets into actionable insights using advanced data science techniques.
- 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.
- Why this job: Make a real impact in finance by applying your data skills to drive investment strategies.
- Qualifications: Masters or PhD in a quantitative field with strong programming and analytical skills.
- Other info: Collaborative environment with opportunities for career growth and ethical standards.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Data Scientist, Proprietary Research role at Point72
A Career with Point72 Proprietary Research
On our proprietary research teamd 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 firms investments. We look for other bright, motivated, and collaborative people to join our team and grow with us majority of the leaders in our group were promoted from within.
What youll do
As a Data Scientist with a focus on alternative data, you will work in close partnership with investment professionals to turn complex datasets into actionable insights that inform discretionary investment strategies. You will apply advanced statistical, machine learning, and Generative AI techniques .g., leveraging each where most effective to develop research products that add real commercial value. In this role, you will:
- Work with large, complex, and often unstructured datasets, transforming them into formats that enable meaningful analysis
- Design and implement statistical, machine learning, and generative AIriven solutions to uncover patterns, test hypotheses, and generate forecasts
- Develop research tools and analytical frameworks that can be scaled or adapted for recurring use by investment teams
- Manage the full research lifecycle from designing methodologies and preparing data to validating models and monitoring ongoing performance
- Collaborate with investment, research, engineering, and compliance experts to ensure research outcomes are relevant, high quality, and meet the firms rigorous ethical standards
- Present insights clearly through reports, visualizations, and presentations tailored to both technical and nontechnical audiences
- Stay engaged with emerging trends in alternative data, statistics, ML, and GenAI applications to continually enhance research capabilities
Whats Required
- Masters degree in a quantitative discipline with 2+ years of relevant professional experience, or a PhD in a related field
- Deep knowledge of statistics, data mining, and machine learning
- Strong programming skills in Python, SQL, Spark, and/or R
- Experience working with large, complex, and often unstructured datasets in applied research or real-world business contexts
- Proven ability to design and deliver analytical solutions with clear commercial impact, from methodology selection through implementation, validation, monitoring and refinement
- Exceptional communication abilities and capable of translating complex quantitative findings for both technical and nontechnical audiences
- Experience with applying Generative AI tools to enhance analysis is a plus
- Organisational skills and adaptability, with the ability to manage multiple projects in a fast-paced environment and work independently while engaging colleagues and managers for alignment and feedback
- 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:
- 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 industrys brightest talent by cultivating an investor-led culture and committing to our peoples long-term growth. For more information, visit https://point72.com/.
Job details
- Seniority level: Entry level
- Employment type: Full-time
- Job function: Engineering and Information Technology
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Data Scientist, Proprietary Research employer: Point72
Contact Detail:
Point72 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Proprietary Research
✨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.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving machine learning and alternative data. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills, especially Python and SQL. Consider mock interviews with friends or use online platforms to simulate the real deal.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Point72.
We think you need these skills to ace Data Scientist, Proprietary Research
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with statistics, machine learning, and any relevant programming skills. We want to see how your background aligns with what we do at Point72!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our proprietary research team. Keep it engaging and relevant to the role.
Showcase Your Projects: If you've worked on any projects involving large datasets or machine learning, make sure to mention them! We love seeing practical examples of your work that demonstrate your skills and creativity.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Point72
✨Know Your Data Inside Out
Before the interview, dive deep into the types of datasets you might be working with. Familiarise yourself with how to handle unstructured data and think about examples from your past experience where you've transformed complex datasets into actionable insights.
✨Brush Up on Your Technical Skills
Make sure you're comfortable with Python, SQL, and any other relevant programming languages mentioned in the job description. Practise coding challenges or work on small projects that showcase your ability to design and implement machine learning solutions.
✨Prepare for Collaboration Questions
Since this role involves working closely with investment professionals and compliance teams, think of examples that highlight your collaborative skills. Be ready to discuss how you've worked with cross-functional teams in the past and how you ensure high-quality outcomes.
✨Communicate Clearly and Confidently
Practice explaining complex statistical concepts in simple terms. You may need to present your findings to both technical and non-technical audiences, so being able to communicate clearly is key. Consider doing mock presentations to friends or colleagues to refine your delivery.
