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Alternative Data Jobs in New York (NOW HIRING)

Unchain Data

Senior Quantitative Analyst

Manhattan, NY · On-site

$150 - $210/hr

We develop trading algorithms in Python that combine big data analytics, alternative data, and machine learning to deliver best-in-class market predictions. Our mission is to democratize the ...

Point72

Sector Analyst, MI-Data

New York, NY · On-site

Analyze and interpret alternative data from multiple sources and develop subject-matter expertise on the key themes and KPIs that drive the industry and companies within your coverage * Produce ...

Point72

Sector Analyst, MI-Data

New York, NY · On-site

Analyze and interpret alternative data from multiple sources and develop subject-matter expertise on the key themes and KPIs that drive the industry and companies within your coverage * Produce ...

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Alternative Data information

What is an alternative data?

An Alternative Data job involves collecting, analyzing, and interpreting non-traditional data sources—such as satellite imagery, web traffic, or transaction data—to generate insights for financial, investment, or business decisions. Professionals in this field work with data engineering, machine learning, and statistical analysis to derive actionable intelligence. These roles are common in hedge funds, private equity firms, and large corporations looking for a competitive edge through unconventional data sources. Skills required typically include programming (Python, SQL), data wrangling, and domain expertise in finance or technology.

What types of projects or data sources do professionals in alternative data roles typically work with?

Professionals in Alternative Data roles often engage with non-traditional datasets such as satellite imagery, social media trends, credit card transaction records, web scraping data, and sensor or geolocation information to uncover actionable insights. Projects may involve evaluating consumer behavior, forecasting economic activity, or identifying trends that standard financial data might miss. The work frequently requires collaborating with data engineers, analysts, and business strategists to source, clean, and interpret large, unstructured datasets. If you enjoy tackling complex data-driven problems and uncovering new patterns to gain a competitive edge, this is a highly dynamic and impactful role.

What are the key skills and qualifications needed to thrive in the alternative data position, and why are they important?

To thrive in an Alternative Data role, you need strong analytical skills, experience with data collection and processing, and a background in quantitative disciplines such as finance, statistics, or computer science. Proficiency in programming languages like Python or R, familiarity with data visualization tools, and experience working with big data platforms are essential, with certifications in data analysis or finance being advantageous. Excellent communication, problem-solving abilities, and intellectual curiosity help professionals excel at explaining complex findings and creating actionable insights for stakeholders. These combined abilities are vital for extracting value from unconventional datasets and driving informed business decisions.

What are popular job titles related to Alternative Data jobs in New York?

For Alternative Data jobs in New York, the most frequently searched job titles are:

What job categories do people searching Alternative Data jobs in New York look for?

The top searched job categories for Alternative Data jobs in New York are:

Alternative Data jobs near you
Infographic showing various Alternative Data job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Product Manager, Alternative Data - Analytics

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

12th of 246 rated software companies

Job description

Product Manager, Alternative Data - Analytics
Location
New York
Business Area
Product
Ref #
10053138
Description & Requirements
Who we are:
The Bloomberg Alternative Data team is a fast-growing, high-impact product group building the next generation of data and analytics for company research and intelligence. Our mission is to make alternative data as essential to investment workflows as traditional fundamentals - at global scale.
We sit at the intersection of data science, finance, and product, and are responsible for some of Bloomberg's most differentiated analytics.
What's in it for you:
As a Product Manager on Bloomberg's Alternative Data team, you will create and own a core set of proprietary analytics that translate raw alternative datasets into actionable insights for investors.
In this role, you will lead the development of new proprietary analytics that will provide clients with real-time data-driven insights into company performance. These products sit at the heart of Bloomberg's alternative data strategy and are critical to scaling adoption. You'll work closely with data scientists, engineers, and research partners to design methodologies, validate signals, and deliver analytics used daily by thousands of clients.
The analytics you build will become foundational across Bloomberg - powering Terminal workflows, AI-driven insights, and future data products. This is a highly visible role with the opportunity to shape how alternative data is used by investors and help transform the future of investment research.
We'll trust you to:
  • Collaborate with the product team to drive the strategy, roadmap and requirements for alternative data in the company research workflow applications
  • Own the product vision, roadmap, and execution for proprietary alternative data analytics
  • Partner closely with data science and engineering to define methodologies
  • Translate complex analytical concepts into intuitive, client-facing product experiences embedded in Bloomberg workflows
  • Deeply understand our target user's business, workflows, and objectives to ensure analytics address real investment questions
  • Lead cross-functional collaboration across product, engineering, data science, research, sales, and GTM teams
  • Define success metrics for analytics adoption, usage, and downstream impact on client workflows
  • Act as product owner for one or more Agile teams, managing priorities, trade-offs, and delivery

You'll need to have:
  • 5+ years' experience in financial services, with a data-driven mindset and experience working with alternative data
  • Demonstrated understanding of alternative data and how it is applied to investment research and company analysis
  • Experience working with analytical products, metrics, or models (e.g., estimates, benchmarks, indices, composites, signals)
  • Understanding of the alternative data market landscape and associated use cases/workflows for our products in the market
  • Ability to collaborate closely with data scientists and engineers on complex analytical problems
  • Strong judgment in making trade-offs between analytical sophistication, scalability, and usability
  • Excellent written and verbal communication skills, including the ability to explain complex problems clearly to technical and non-technical audiences
  • A highly collaborative, ownership-oriented mindset

We'd love to see:
  • Product management experience building data, analytics, or research platforms
  • Experience operating in large organizations with multiple stakeholders

If this sounds like you:
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime, check out our latest press release here and Bloomberg Pro Tips video here.
Salary Range = 140,000 - 295,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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