- Страна
- США
- Зарплата
- 160 000 $ – 220 000 $
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на вакансии с ИИ

Data Engineer, Proprietary Research
Исключительное предложение с высокой базовой зарплатой, отличным соцпакетом и возможностью работать в одной из ведущих инвестиционных фирм мира. Высокий потенциал карьерного роста (90% лидеров выросли внутри компании).
Сложность вакансии
Роль требует высокого уровня ответственности и технической экспертизы в области Big Data (Spark, Python) в условиях динамичной финансовой среды. Высокие стандарты комплаенса и необходимость тесного взаимодействия с инвестиционными профессионалами добавляют сложности.
Анализ зарплаты
Предлагаемый диапазон $160k-$220k находится на верхнем уровне рыночных значений для Data Engineer в Нью-Йорке, особенно учитывая, что это только базовая часть без учета бонусов. В финансовом секторе совокупный доход может значительно превышать средние показатели по технологической отрасли.
Сопроводительное письмо
I am writing to express my strong interest in the Data Engineer position within the Market Intelligence team at Point72. With over three years of experience in building robust data pipelines and a deep proficiency in Python and Spark, I have consistently focused on transforming complex, unstructured datasets into actionable business intelligence. My background in developing cloud-based infrastructure aligns perfectly with your goal of enabling investment professionals to extract insights effortlessly.
What particularly excites me about Point72 is the collaborative, cross-functional environment where data engineering directly impacts fundamental research and investment strategies. I am impressed by the firm's commitment to internal growth and ethical standards, and I am eager to bring my solution-oriented approach and technical expertise to help elevate your proprietary research products. I look forward to the possibility of contributing to your team's success in New York.
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Откликнитесь в point72 уже сейчас
Присоединяйтесь к элитной команде Point72 и создавайте инновационные решения для анализа альтернативных данных в самом сердце финансового мира!
Описание вакансии
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 researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions posed by our investment professionals. 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.
ROLE SUMMARY
Data Engineers on the Proprietary Research team design and build solutions that enable investment professionals to effortlessly, extract insights from large, complex compliance approved structured and unstructured data sets. As a member of our Data Engineering team, you will 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
- 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
- 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
- Experience or demonstrated interest in big data technologies
- 3+ years of experience in Data Engineering or related field
- Strong experience in Python Development
- Experience with Spark or Scala
- Ability to devise 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 $160,000-$220,000, 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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Навыки
- Python
- Spark
- Scala
- Big Data
- Graph Databases
- Cloud Computing
- ETL
- Data Pipelines
Возможные вопросы на собеседовании
Учитывая специфику работы с альтернативными данными, важно понимать, как кандидат справляется с очисткой и структурированием «грязных» данных.
Расскажите о самом сложном неструктурированном наборе данных, с которым вы работали. Как вы спроектировали пайплайн для его обработки?
В описании вакансии упоминается Spark и Scala как ключевые технологии.
Как бы вы оптимизировали Spark-приложение, которое сталкивается с проблемой перекоса данных (data skew)?
Point72 работает в строго регулируемой среде. Кандидат должен понимать важность безопасности данных.
Как вы обеспечиваете целостность и соответствие требованиям безопасности (compliance) при проектировании ETL-процессов?
Упоминание графовых баз данных как плюса указывает на специфические задачи по поиску связей.
В каких сценариях вы бы предпочли использовать графовую базу данных вместо традиционной реляционной для анализа финансовых рынков?
Работа в хедж-фонде требует умения быстро переключаться между задачами.
Приведите пример ситуации, когда вам пришлось резко сменить приоритеты из-за срочного запроса бизнеса. Как вы управляли ожиданиями стейкхолдеров?
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- Страна
- США
- Зарплата
- 160 000 $ – 220 000 $