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point72
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США
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SeniorВ офисеПолная занятость

Senior Data Engineer, Proprietary Research

Оценка ИИ

Исключительная вакансия с очень высокой базовой зарплатой, отличным социальным пакетом и возможностью работать в одной из ведущих инвестиционных фирм мира.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокий уровень сложности обусловлен требованиями к глубоким знаниям системного дизайна, опытом руководства проектами и необходимостью работать в высоконагруженной финансовой среде с альтернативными данными.

Анализ зарплаты

Медиана220 000 $
Рынок180 000 $ – 280 000 $
Оценка ИИ

Предложенная базовая зарплата ($250k-$300k) находится на верхнем пределе рыночного диапазона для Senior Data Engineer в Нью-Йорке, особенно учитывая, что она не включает бонусы.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Data Engineer position within the Market Intelligence team at Point72. With over five years of experience in building robust data pipelines and a deep proficiency in Python and distributed systems, I have a proven track record of transforming complex, unstructured data into actionable insights. My background in designing cloud-based infrastructure aligns perfectly with your goal of enabling investment professionals to effortlessly extract value from large-scale alternative data sets.

Throughout my career, I have led multi-person development efforts and consistently delivered innovative solutions to technical challenges. I am particularly drawn to Point72's collaborative culture and the opportunity to work at the intersection of fundamental research and advanced data engineering. I am eager to bring my technical leadership and solution-oriented mindset to your team to help drive the next generation of compliant research products.

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Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в point72 уже сейчас

Присоединяйтесь к лидеру индустрии инвестиций и создавайте инновационные решения для работы с альтернативными данными уже сегодня!

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 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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Создайте идеальное резюме с помощью ИИ-агента

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Навыки

  • Python
  • System Design
  • Distributed Systems
  • Spark
  • Big Data
  • Data Pipelines
  • Cloud Computing
  • Graph Databases

Возможные вопросы на собеседовании

Вакансия предполагает работу с альтернативными данными для инвестиционных решений.

Расскажите о самом сложном наборе неструктурированных данных, с которым вы работали: как вы организовали процесс очистки и трансформации?

В описании указано лидерство в разработке многопользовательских проектов.

Опишите ваш опыт проектирования системной архитектуры для команды из нескольких инженеров. Как вы обеспечиваете масштабируемость и надежность?

Spark и облачные вычисления указаны как важные навыки.

С какими основными проблемами производительности в Spark вы сталкивались и как вы их оптимизировали в облачной среде?

Роль требует тесного взаимодействия с комплаенс-отделом и исследователями.

Как вы подходите к обеспечению качества и этичности данных при построении пайплайнов для финансового сектора?

Упоминаются графовые базы данных как плюс.

В каких сценариях использования инвестиционных данных вы бы предпочли графовую базу данных традиционной реляционной?

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point72
Страна
США
Зарплата
250 000 $ – 300 000 $