at Point72
Hedge FundsPosted 8 days ago
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- Compensation
- $200,000 – $300,000 USD
- City
- New York
- Country
- United States
Currency: $ (USD)
Full Job Description
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Data Scientist Career
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Data Scientist
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Experience
Experienced Professionals
Location
New York
Focus
Data Engineering | Software & System Engineering
Business
Point72
A Career with Point72s Technology Team
As Point72 reimagines the future of investing, our Technology team is constantly evolving our firms IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. Were a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.
As a member of Point72s Technology team, we encourage and support your professional development from day onehelping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosityall while delivering real business impact for our multi-billion-dollar global business.
What youll do
- Lead the development and deployment of advanced models and algorithms that turn complex data into actionable insights to influence decisions across the organization
- Build and champion the rollout of a technology insights product, setting clear service standards, aligning stakeholders, and establishing transparent metrics to measure impact and drive adoption
- Design and maintain a centralized analytics platform that unifies key performance indicators, satisfaction scores, and operational metrics into intuitive dashboards for leadership
- Develop automated data pipelines and validation processes to gather, clean, and prepare large sets of structured and unstructured data for modeling and analysis
- Partner with data engineers, analysts, and business partners to translate business challenges into scalable, production-ready data solutions and shared standards
- Create reports and drill-down analyses that highlight service health, enable targeted action planning, and support proactive management
- Monitor and analyze performance across service quality, project manager satisfaction, efficiency, operational risk, and cost, highlighting trade-offs and providing strategic recommendations
- Use historical trend analysis and experimentation to uncover recurring issues, measure the impact of corrective actions, and drive continuous improvement
- Integrate third-party data sources and application programming interfaces into the analytics ecosystem to expand capabilities and enrich models
- Explore and implement modern cloud-native and distributed computing tools and methodologies to improve scalability, reliability, and reproducibility
Whats required
- 510 years of professional experience in data science or a closely related field in financial services or technology environments
- Bachelor's or master's degree in computer science, data science, statistics, engineering, or a related technical discipline
- Deep expertise in statistical modeling, machine learning, and data mining using Python, R, or similar programming languages
- Demonstrable experience with cloud-based analytics platforms, such as Amazon Web Services (AWS), and distributed computing frameworks, such as Spark or Databricks
- Strong skills in data wrangling, feature engineering, data quality management, and production data pipeline design
- Experience designing and implementing performance management systems, dashboards, or service excellence frameworks that inform leadership decisions
- Solid understanding of data architecture, data governance, reproducible research practices, and model monitoring in production
- Experience with version control systemssuch as Gitcontinuous integration and delivery workflows, and modern workflow orchestration tools
- Proven ability to communicate complex analyses clearly to technical and non-technical stakeholders and to collaborate effectively in fast-paced, high-stakes environments
- 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 industrys brightest talent by cultivating an investor-led culture and committing to our peoples long-term growth. For more information, visit https://point72.com/.
The annual base salary range for this role is $200,000-$300,000 (USD) , 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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Data Scientist
Compensation
$200,000 – $300,000 USD
City: New York
Country: United States
ExperiencedNo visa sponsorship
This employer did not include a short summary.
Full Job Description
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Data Scientist Career
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Browse Open Roles
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P72 Careers - Header
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- What We Do
- Our Values
- Leadership
- Locations
Careers- Working Here
- Students & Early-Career
- Point72 Academy
- Fundamental Equities
- Cubist Systematic
- Point72 LaunchPoint
- Global Macro
- Private Investments
- Investment Services
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Browse Open Roles=u)&&Object.keys(t.O).every(function(r){return t.O[r](e[a])})?e.splice(a--,1):(f=!1,u
Data Scientist
Apply Now
Experience
Experienced Professionals
Location
New York
Focus
Data Engineering | Software & System Engineering
Business
Point72
A Career with Point72s Technology Team
As Point72 reimagines the future of investing, our Technology team is constantly evolving our firms IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. Were a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.
As a member of Point72s Technology team, we encourage and support your professional development from day onehelping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosityall while delivering real business impact for our multi-billion-dollar global business.
What youll do
- Lead the development and deployment of advanced models and algorithms that turn complex data into actionable insights to influence decisions across the organization
- Build and champion the rollout of a technology insights product, setting clear service standards, aligning stakeholders, and establishing transparent metrics to measure impact and drive adoption
- Design and maintain a centralized analytics platform that unifies key performance indicators, satisfaction scores, and operational metrics into intuitive dashboards for leadership
- Develop automated data pipelines and validation processes to gather, clean, and prepare large sets of structured and unstructured data for modeling and analysis
- Partner with data engineers, analysts, and business partners to translate business challenges into scalable, production-ready data solutions and shared standards
- Create reports and drill-down analyses that highlight service health, enable targeted action planning, and support proactive management
- Monitor and analyze performance across service quality, project manager satisfaction, efficiency, operational risk, and cost, highlighting trade-offs and providing strategic recommendations
- Use historical trend analysis and experimentation to uncover recurring issues, measure the impact of corrective actions, and drive continuous improvement
- Integrate third-party data sources and application programming interfaces into the analytics ecosystem to expand capabilities and enrich models
- Explore and implement modern cloud-native and distributed computing tools and methodologies to improve scalability, reliability, and reproducibility
Whats required
- 510 years of professional experience in data science or a closely related field in financial services or technology environments
- Bachelor's or master's degree in computer science, data science, statistics, engineering, or a related technical discipline
- Deep expertise in statistical modeling, machine learning, and data mining using Python, R, or similar programming languages
- Demonstrable experience with cloud-based analytics platforms, such as Amazon Web Services (AWS), and distributed computing frameworks, such as Spark or Databricks
- Strong skills in data wrangling, feature engineering, data quality management, and production data pipeline design
- Experience designing and implementing performance management systems, dashboards, or service excellence frameworks that inform leadership decisions
- Solid understanding of data architecture, data governance, reproducible research practices, and model monitoring in production
- Experience with version control systemssuch as Gitcontinuous integration and delivery workflows, and modern workflow orchestration tools
- Proven ability to communicate complex analyses clearly to technical and non-technical stakeholders and to collaborate effectively in fast-paced, high-stakes environments
- 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 industrys brightest talent by cultivating an investor-led culture and committing to our peoples long-term growth. For more information, visit https://point72.com/.
The annual base salary range for this role is $200,000-$300,000 (USD) , 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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