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Alternative Data Quant Jobs (NOW HIRING)

Point72

Sector Analyst, MI-Data

New York, NY · On-site

Analyze and interpret alternative data from multiple sources and develop subject-matter expertise ... other quantitative * Commitment to the highest ethical standards WE TAKE CARE OF OUR PEOPLE We ...

Point72

Sector Analyst, MI-Data

New York, NY

Analyze and interpret alternative data from multiple sources and develop subject-matter expertise ... other quantitative * Commitment to the highest ethical standards WE TAKE CARE OF OUR PEOPLE We ...

Anson McCade

Quantitative Trader

Manhattan, NY

Generating alphas based on analysis of market or alternative data. * Monetizing signals, monitoring performance of trades and optimising where possible. * Creating quantitative tools to aid the ...

Algert Global

Quant Developer (QD)

San Francisco, CA · On-site

Quantitative Research & Development Engineer Algert Global -- San Francisco, CA Build alpha. Drive ... Explore alternative data, ML techniques, and new research workflows, we're especially curious to ...

Anson McCade

Quantitative Researcher

Manhattan, NY

... market or alternative data, in a collaborative environment. * Researching signals, monitoring ... quant methods for the research and optimisation of strategies. * You will need to be a confident ...

Point72

Macro Quantitative Researcher

New York, NY · On-site

A well-established quantitative portfolio management team at Point72 is looking for an experienced ... Work with price-volume and alternative data at intraday to multiday (up to 2-3 weeks) horizons in ...

Point72

Macro Quantitative Researcher

New York, NY

A well-established quantitative portfolio management team at Point72 is looking for an experienced ... Work with price-volume and alternative data at intraday to multiday (up to 2-3 weeks) horizons in ...

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Alternative Data Quant information

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$46K

$165K

$243.5K

How much do alternative data quant jobs pay per year?

As of Jun 9, 2026, the average yearly pay for alternative data quant in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are Alternative Data Quants?

Alternative Data Quants are quantitative analysts who specialize in sourcing, analyzing, and interpreting non-traditional data sets—such as satellite imagery, social media trends, and web traffic—to generate investment insights. They combine expertise in data science, finance, and programming to uncover patterns that are not visible through conventional financial data alone. These professionals play a crucial role in helping financial institutions gain a competitive edge by leveraging novel data sources to inform trading strategies and risk management.

How does an Alternative Data Quant typically collaborate with data vendors and internal teams to derive actionable insights?

As an Alternative Data Quant, you will frequently interface with data vendors to assess and acquire novel datasets, ensuring they meet quality and compliance standards. Internally, you’ll work closely with data scientists, portfolio managers, and technology teams to integrate these datasets into quantitative models. Effective collaboration is key—regular meetings, joint research sessions, and cross-functional brainstorming are common. This collaborative environment enables you to translate raw data into investment insights that drive trading strategies.

What is the difference between Alternative Data Quant vs Data Analyst?

AspectAlternative Data QuantData Analyst
Required CredentialsDegree in finance, economics, or quantitative fields; often requires programming skillsDegree in statistics, mathematics, or related fields; may require knowledge of data visualization tools
Work EnvironmentFinancial firms, hedge funds, asset management companies; focus on quantitative modelingCorporate, marketing, or business sectors; focus on data interpretation and reporting
Employer & Industry UsagePrimarily in finance and investment industriesAcross various industries including finance, healthcare, retail, and technology

In summary, Alternative Data Quants specialize in developing complex models using alternative data sources for investment decisions, requiring strong quantitative and programming skills. Data Analysts focus on interpreting data to inform business strategies, often with less emphasis on advanced modeling. Both roles involve data handling but serve different industry needs and skill sets.

What are the key skills and qualifications needed to thrive as an Alternative Data Quant, and why are they important?

To thrive as an Alternative Data Quant, you need strong quantitative analysis skills, programming expertise (often in Python or R), and a solid background in statistics, mathematics, or a related field, usually supported by an advanced degree. Familiarity with big data platforms, data visualization tools, machine learning frameworks, and experience handling unconventional data sources are essential. Curiosity, problem-solving abilities, and clear communication skills help you extract actionable insights and explain complex findings to non-technical stakeholders. These skills ensure you can leverage alternative data to generate alpha, support investment decisions, and provide a competitive edge in financial markets.
Product Manager - Quantitative Data Solutions

Product Manager - Quantitative Data Solutions

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Job description

Product Manager - Quantitative Data Solutions
Location
New York
Business Area
Product
Ref #
10050467
Description & Requirements
Our research data solutions will deliver the most compelling, innovative and comprehensive point in time data solution for quantitative and quantamental analysis in the capital markets industry. We are producing a suite of normalized and linked historical data products that include company fundamentals, consensus estimates, pricing, supply chain, granular segment level data, macroeconomic and alternative data into an outstanding data solution. We want an ambitious, creative and innovative SME that understands the systematic and quantitative workflow who can help us fashion this portfolio of products into something truly outstanding that will help us achieve our goal of becoming the industry leader in this space.
This business is core to our growth strategy across Enterprise Data, and our ambition is to continue servicing the most complex demands and challenges of our clients so that they can keep innovating and delivering value to their clients.
Our team is responsible for identifying, creating, and designing data solutions that demonstrate Bloomberg's proprietary analytics and industry-leading research data. This requires an in-depth understanding of a research analyst's workflow. Key to this is understanding the multifaceted challenges our clients are trying to solve and making sure that we remain their trusted partner as they work with us to build solutions driven by outstanding data.
We are looking for an experienced data professional who understands the multiple use cases for research enterprise content including quantitative and quantamental research across multiple investment management strategies.
We will trust you to:
  • Show domain expertise on research and alternative data, and how investment managers extract signals to build their edge
  • Stay current on major research trends within the financial industry that continue to evolve and redefine traditional thinking and drive the many use cases for enterprise data
  • Develop a deep understanding of our enterprise offering when it comes to our Research data content as well as the accessibility, usability, quality, tools, and services available to clients that allow them to deepen their interaction and usage of our content
  • Set, track, and review metrics for desired product outcomes and clearly communicate product vision, roadmap, and development status and complete through collaboration with multiple partners including global data specialists, sales, engineers, and support organization
  • Develop a positive relationship with a core group of clients that will partner with us to expand our understanding of their key challenges and evolve our offering through ongoing dialogue and experimentation to systematically take on their challenges
  • Display product management skills and effectively handle data product specification, prioritization, and backlog by continually addressing business needs through an agile process
  • Understand data science techniques and platforms that our clients are either building or leveraging to extract value from big data
  • Demonstrate strong problem-solving, analytical, and technical skills through proficiency in Python or similar programming languages typically used in data science and data engineering

You will need to have:
  • A minimum of 5 years'* experience as a Product Manager or related role
  • A solid understanding of capital markets, preferably in a broad range of asset classes
  • Familiarity with data science and quantitative investing processes
  • Basic proficiency in Python, R, or other programming languages typically used in data science, greater proficiency is highly valued
  • Problem solving skills to deconstruct client problems with a data driven approach when making a case for resources, improvements, and getting management agreement
  • Self-motivated and driven by innovation and idea sharing
  • The capability of encouraging relationships with new and existing clients as well building an internal network that champions collaboration and build on a strong culture of teamwork
  • Bachelor's degree in statistics, mathematics, economics, business management, or other equivalent
  • Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.

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.
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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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