- Страна
- США
- Зарплата
- 125 000 $ – 150 000 $
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Data Scientist, Proprietary Research
Исключительная вакансия в одном из ведущих хедж-фондов мира с прозрачной вилкой зарплаты и отличным соцпакетом. Высокий потенциал карьерного роста (90% лидеров выросли внутри компании) и работа с передовыми технологиями делают это предложение очень привлекательным.
Сложность вакансии
Высокая сложность обусловлена требованиями к ученой степени (Masters/PhD), необходимостью глубоких знаний в статистике и опытом работы с альтернативными данными в финансовом секторе. Работа в хедж-фонде такого уровня подразумевает высокую интенсивность и строгие стандарты комплаенса.
Анализ зарплаты
Предложенная базовая зарплата ($125k - $150k) соответствует рыночному уровню для Data Scientist в Нью-Йорке, однако стоит учитывать, что в Point72 значительную часть общего дохода обычно составляют дискреционные бонусы, которые могут существенно превышать базу.
Сопроводительное письмо
I am writing to express my strong interest in the Data Scientist position within the Market Intelligence team at Point72. With a solid foundation in quantitative analysis and professional experience in leveraging machine learning to extract insights from large, unstructured datasets, I am eager to contribute to your firm's data-driven investment process. My background in Python and Spark, combined with a rigorous approach to statistical modeling, aligns perfectly with your team's focus on uncovering hidden market signals.
What particularly draws me to Point72 is the collaborative, experiment-based environment and the opportunity to work at the intersection of fundamental research and advanced data science. I am impressed by the firm's commitment to professional growth and its high ethical standards. I am confident that my ability to communicate complex technical findings to diverse stakeholders and my proactive approach to problem-solving will allow me to "elevate the room" and deliver significant value to your investment professionals.
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Откликнитесь в point72 уже сейчас
Присоединяйтесь к элитной команде Point72 и используйте мощь альтернативных данных для формирования будущего инвестиционных стратегий!
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
Our Data Scientists conduct research through data mining and statistical modeling to discover insights from big data that are used by our investment professionals to make investment decisions. You will have the opportunity to work in a highly collegial environment that emphasizes teaching and learning as a team. In this role, you will:
- Tackle the challenges of featuring and modeling large unstructured data using machine learning and statistical techniques
- Manage all aspects of the research and analysis process including methodology selection, data collection and quality, modeling and analysis, and performance monitoring
- Deliver research findings to investment teams, portfolio managers, and other internal clients
- Work within a team to help drive technical innovation through a collaborative R&D process
WHAT EXCITES YOU
- Staying current on the evolving alternative data market and its role in discretionary investing
- Speaking with experts both inside and outside the Firm to understand data needs and offerings
- Multi-tasking and switching gears frequently to address the needs of the business
- Analytical thinking and ability to sift through large unstructured data sets
- Working in a fast-paced, dynamic environment
- Working as part of a cross-functional team made up of investment, research, and compliance professionals
- Experiment-based approach with freedom to innovate
WHAT EXCITES US
- Excellent attention to detail, organization, and project management skills
- Strong verbal and written communication skills
- Superb business intuition and a solution orientated, methodological approach to problem solving
- Ability to collaborate and build relationships across 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
- Demonstrated interest in machine learning, statistical models, and data mining tools
- Masters/PhD in a quantitative discipline w/ 1+ year of professional experience
- Strong programming skills in Python (preferred), R, Spark, SQL
- Exceptional understanding of statistics and advanced modeling techniques
- Ability to communicate complex analyses and results clearly
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 $125,000 - $150,000, 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
- R
- Spark
- SQL
- Machine Learning
- Statistics
- Data Mining
- Quantitative Analysis
Возможные вопросы на собеседовании
Проверка способности кандидата работать с неструктурированными данными, что является ключевым для альтернативных данных.
Расскажите о самом сложном наборе неструктурированных данных, с которым вы работали. Как вы подходили к извлечению признаков и валидации результатов?
Оценка понимания специфики работы в инвестиционной среде.
Как бы вы оценили надежность и прогностическую ценность нового источника альтернативных данных для прогнозирования квартальной выручки ритейлера?
Проверка технических навыков работы с большими данными.
В каких ситуациях вы предпочтете использовать Spark вместо стандартных библиотек Python (Pandas/NumPy) для анализа данных?
Оценка навыков коммуникации сложных концепций.
Как вы объясните портфельному менеджеру, не имеющему технического образования, почему ваша модель машинного обучения выдала именно такой прогноз?
Проверка этических стандартов и понимания комплаенса.
Как вы обеспечиваете соблюдение этических норм и правил конфиденциальности при работе с внешними поставщиками данных?
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- Страна
- США
- Зарплата
- 125 000 $ – 150 000 $