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Alternative Data Jobs (NOW HIRING)

Thurn Partners

Alternative Data Scientist

Miami, FL · On-site

Company Insight: A leading global trading firm is expanding its alternative data initiative and is seeking an experienced Data Scientist to help drive the next phase of signal discovery and ...

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How much do alternative data jobs pay per year?

As of Jul 1, 2026, the average yearly pay for alternative data 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 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 is an Alternative Data job?

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.

More about Alternative Data jobs
What cities are hiring for Alternative Data jobs? Cities with the most Alternative Data job openings:
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Alternative Data jobs near you
Infographic showing various Alternative Data job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Alternative Data Scientist

Thurn Partners

Miami, FL • On-site

Other

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Company Insight:

A leading global trading firm is expanding its alternative data initiative and is seeking an experienced Data Scientist to help drive the next phase of signal discovery and deployment. Sitting at the intersection of quantitative research and live trading, you’ll work with datasets that are large, messy and unstructured - using rigorous analytical methods to determine what is predictive, what scales, and what ultimately makes it into production.


The team operates in a research-driven environment with fast feedback loops, close proximity to trading, and a strong emphasis on measurable impact rather than theoretical modelling.


The Role:

  • Evaluate and analyse a wide range of alternative datasets (transactional, behavioural, geospatial, web-derived, etc.) to identify potential trading signals
  • Design and run experiments to assess data quality, stability, coverage and predictive power
  • Build statistical and machine learning models to transform raw alternative data into usable features and signals
  • Develop robust analytical frameworks to monitor signal decay, bias and performance over time
  • Communicate findings clearly to quantitative researchers and key stakeholders, influencing research and trading priorities


Experience/Skills Required:

  • A strong academic background in a quantitative field from a top-tier university
  • 2–5 years of experience in a data science or research role within a hedge fund, market maker, or investment bank
  • Demonstrated experience working with alternative data and assessing its real-world usefulness
  • Advanced Python skills and strong SQL capability for large-scale data analysis
  • A solid understanding of statistics, experimentation, and applied machine learning in noisy environments


Pre-Application:

  • Please do not apply if you are looking for a contract or remote work
  • Please ensure you meet the required experience section prior to applying
  • Allow 1-5 working days for a response to any job enquiry

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