Senior Data Engineer, Proprietary Research
Point72
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This role on the market
11 open proprietary roles across 3 companies are on ApplySarthi right now.
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What proprietary roles keep asking for: Python (45%), Spark (36%), R (27%), SQL (27%), System design (27%), Excel (18%), Machine learning (18%) — counted across their open postings here.
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Point72 has 200 open roles listed here.
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Preparing for this interview
Interviews for proprietary roles keep coming back to Python, Spark, R, SQL. Practise those questions before you sit with Point72 .
Questions you are likely to be asked
- Why do you want to join Point72?
- What is your experience with Python? Tell me one thing you learned the hard way.
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
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Practise the Senior Data Engineer, Proprietary Research at Point72 interview free →ABOUT PROPRIETARY RESEARCH
On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions our investment professionals care about most. We look for other bright, motivated, and collaborative people to join our team and grow with us—more than 90% of the leaders in our group were promoted from within.
WHAT YOU'LL DO
Senior Data Engineers on the Proprietary Research team design and build solutions that enable investment professionals to effortlessly extract insights from large, complex structured and unstructured data sets. As a senior member of our Data Engineering team, you will help set technical direction and work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end data pipelines and tools that that help extract the most value out of Point72’s data assets. In this role, you will:
- Develop and support big data processing pipelines including but not limited to ingestion, transformation, and end-customer delivery
- Build out cloud-based infrastructure using distributed techniques for other data engineers / data scientists / researchers
- Be at the forefront of new technology developments with respect to the handling and processing of big data and conduct proof of concepts evaluations of new technologies
- Build and support visualization and exploration capabilities around our big data sets
WHAT EXCITES YOU
- Technical leadership through hands-on development
- Having a broad impact on architecture and team processes
- Transforming large unstructured, data sets into valuable investment research inputs
- Learning and working with industry-leading cloud-computing technologies
- Speaking with experts both inside and outside the firm to understand data needs and offerings
- Fast-paced work environments that at times require switching gears to address the needs of the business
- Working as part of a cross-functional team made up of Investment, Research, and Compliance professionals
WHAT EXCITES US
- Ability to directly or indirectly lead development efforts involving multiple engineers and stakeholders
- Excellent attention to detail, organization, and project management skills
- Superb business intuition and a solution orientated, methodological approach to problem solving
- Ability to collaborate and build relationships across multiple business units within the firm
- People who “elevate the room” through their work ethic, curiosity, and solution-orientated attitude
- Adherence to the highest ethical standards working closely with the firm’s Compliance team
WHAT’S REQUIRED
- 5+ years of experience in Data Engineering or related development work with distributed data technology
- Experience with system design and leading multi-person development efforts
- Strong experience in Python development
- Experience with Spark and Cloud computing is a plus
- Track record of delivering novel and innovative solutions to challenges
- Knowledge of/experience with graph databases is a plus
WHAT SUCCESS LOOKS LIKE
- Integrity – You demonstrate 100% commitment to the highest ethical standards
- Ownership – You take charge of your work, uphold your commitments, and always do your best
- Commerciality – You focus on what matters, ask necessary questions, and are diligent about not wasting time
- Humility – You welcome and are receptive to feedback and learn from past mistakes
- Adaptability – You can triage business needs and context switch quickly and efficiently
- Admirability – You elevate the room through your work ethic, domain knowledge, and work product
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 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. For more information, visit www.Point72.com/about.
The annual base salary range for this role is $250,000-$300,000, 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.
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Listed on greenhouse · posted 2024-12-12. ApplySarthi collects openings and links to application pages; the role is advertised by Point72 , not by us.