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point72
Страна
США
Зарплата
200 000 $ – 300 000 $
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Data Engineer, Knowledge Graph

Оценка ИИ

Исключительная вакансия с очень высокой базовой зарплатой, отличным соцпакетом и возможностью работать над передовыми технологиями в одном из ведущих хедж-фондов мира. Высокий потенциал карьерного роста внутри компании.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена необходимостью глубокой экспертизы в узкой нише Knowledge Graphs и онтологий, а также требованием к опыту технического лидерства и найма специалистов. Работа в хедж-фонде такого уровня подразумевает высокие стандарты качества и этики.

Анализ зарплаты

Медиана210 000 $
Рынок180 000 $ – 275 000 $
Оценка ИИ

Предлагаемая зарплата ($200k-$300k) находится на верхнем пределе рынка для Senior/Lead Data Engineer в Нью-Йорке, особенно учитывая, что это только базовая часть без учета бонусов, которые в сфере инвестиций могут быть значительными.

Сопроводительное письмо

I am writing to express my strong interest in the Data Engineer, Knowledge Graph position at Point72. With a robust background in designing complex financial ontologies and implementing large-scale graph processing pipelines, I am excited by the opportunity to contribute to the Market Intelligence team's proprietary research capabilities. My experience aligns perfectly with your need for a specialist who can transform disparate alternative data sets into a unified, actionable knowledge graph.

In my previous roles, I have successfully deployed graph-based solutions using technologies like Neo4j and Amazon Neptune to uncover hidden relationships in financial data. Beyond technical implementation, I have a proven track record of mentoring engineers and driving the adoption of semantic technologies across diverse teams. I am particularly drawn to Point72's culture of internal growth and excellence, and I am confident that my methodical approach to data modeling will help elevate your investment decision-making processes.

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Составьте идеальное письмо к вакансии с ИИ-агентом

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Откликнитесь в point72 уже сейчас

Присоединяйтесь к команде Point72 и создавайте будущее финансовой аналитики с помощью передовых графовых технологий!

Описание вакансии

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 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. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within.

What you’ll do

As a Data Engineer, you will help leverage knowledge graphs that connect companies, industries, and insights about the broader economy. This role begins as an individual contributor position with clear paths to expand your technical leadership as the platform grows. Specifically, you will:

  • Design and implement a comprehensive financial knowledge graph architecture with sophisticated data models that capture complex financial relationships.
  • Create robust graph processing pipelines for data ingestion, transformation, knowledge extraction, and advanced analytics capabilities.
  • Define and implement best practices for knowledge graph development, implementation, and maintenance across the organization.
  • Champion the adoption of graph-based solutions across Market Intelligence.

What excites you

  • You are passionate about designing data models that represent sophisticated financial relationships and dependencies. You find satisfaction in transforming disparate data sources into a unified, interconnected knowledge graph and implementing graph algorithms to uncover hidden patterns and relationships in financial data.
  • You excel at navigating organizational change management and driving adoption of new technologies across diverse teams. You are energized by working with stakeholders and productive collaboration that advances technical initiatives.
  • You are motivated by fast-paced environments that require adaptability and strategic problem-solving skills.
  • You are driven by creating graph-based solutions that help enhance investment decision-making processes.

What excites us

  • We value your proven ability to build and lead engineering teams through complex technical implementations. Your strong track record of hiring and developing technical talent in specialized domains will be essential as we grow our knowledge graph capabilities.
  • We are looking for deep expertise in graph data modeling and ontology design specifically for financial applications. Your hands-on experience with graph databases (Neo4j, TigerGraph, Amazon Neptune, etc.) and strong coding skills focused on developing graph-based applications and algorithms will drive our technical success.
  • We value interpersonal skills and a willingness to collaborate with stakeholders to achieve technical and business objectives.
  • We appreciate your demonstrated success in mentoring engineers and helping them grow into graph specialists.
  • We seek candidates with a methodical approach to solving complex data modeling and integration challenges. We value people who "elevate the room" through their work ethic, curiosity, and solution-oriented attitude, inspiring those around them to achieve more.

What’s required

  • 3+ years of experience in knowledge graph engineering, graph database development, or related work.
  • Proven experience leading technical teams and mentoring engineers to develop technical talent.
  • Strong expertise in graph data modeling, ontology design, and semantic technologies.
  • Hands-on experience with at least one major graph database technology.
  • Advanced programming skills in Python or another high-level language.
  • Experience with data integration from diverse sources into unified knowledge graphs.
  • Track record of successfully implementing change management for technical initiatives.
  • Demonstrated ability to work effectively with challenging stakeholders.
  • Experience hiring and building specialized technical teams.
  • 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
  • Volunteer opportunities
  • Support for employee-led affinity groups representing women, people of color and the LGBT+ community
  • Mental and physical wellness programs
  • 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 https://point72.com/.

The annual base salary range for this role is $200,000-$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

Создайте идеальное резюме с помощью ИИ-агента

Навыки

  • Knowledge Graph
  • Neo4j
  • TigerGraph
  • Amazon Neptune
  • Python
  • Ontology Design
  • Data Modeling
  • Semantic Web
  • Graph Algorithms
  • Data Integration

Возможные вопросы на собеседовании

Проверка практического опыта работы с графовыми БД, упомянутыми в вакансии.

Расскажите о наиболее сложной проблеме производительности, с которой вы столкнулись при работе с Neo4j или TigerGraph, и как вы её решили?

Вакансия требует навыков проектирования онтологий для финансовых приложений.

Как вы подходите к моделированию иерархических и сетевых связей между компаниями, учитывая динамически меняющиеся рыночные условия?

В описании подчеркивается важность внедрения новых технологий в организации.

Опишите ваш опыт управления изменениями (change management) при внедрении графовых решений в командах, привыкших к реляционным базам данных.

Роль предполагает лидерство и менторство.

Каков ваш подход к найму и развитию инженеров в такой специализированной области, как Knowledge Graph Engineering?

Работа с альтернативными данными требует интеграции из разных источников.

Как вы обеспечиваете качество и непротиворечивость данных при автоматическом извлечении знаний (knowledge extraction) из неструктурированных источников?

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point72
Страна
США
Зарплата
200 000 $ – 300 000 $