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Macro Data Refinement Jobs (NOW HIRING)

Macro Solutions

Java Kafka Developer (Hybrid)

Ashburn, VA · Hybrid

$52.25 - $67.50/hr

Participate in sprint planning, backlog refinement, testing, demos, retrospectives, and releases ... ORM frameworks (Spring Data JPA, Hibernate) * Cloud platforms (AWS, Azure, or GCP)

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$135.5K

How much do macro data refinement jobs pay per year?

As of Aug 12, 2026, the average yearly pay for macro data refinement in the United States is $99,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What is a macro data refinement job?

A macro data refinement job involves analyzing and cleaning large-scale data sets to improve their accuracy and usability. It often requires skills in data analysis tools, programming languages like Python or R, and an understanding of data structures to ensure data quality for reporting or decision-making.

What is a macro data refinement?

Macro data refinement involves processing and improving large-scale economic or financial datasets to ensure accuracy, consistency, and usability. In roles like macro data refinement, professionals often use data analysis tools and techniques to clean, organize, and analyze data for research, reporting, or decision-making purposes.

What is the difference between Macro Data Refinement vs Data Analyst?

AspectMacro Data RefinementData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related fieldBachelor's degree in data analysis, statistics, or related field
Work EnvironmentData processing teams, research institutions, large corporationsBusiness settings, consulting firms, tech companies
Employer & Industry UsageUsed in industries focusing on large-scale data aggregation and refinementUsed across various industries for interpreting and visualizing data

Macro Data Refinement involves processing and cleaning large datasets to prepare them for analysis, often focusing on data quality and aggregation. Data Analysts interpret refined data to generate insights, reports, and support decision-making. While both roles require similar educational backgrounds, Macro Data Refinement emphasizes data preparation, whereas Data Analysts focus on analysis and interpretation.

More about Macro Data Refinement jobs
What cities are hiring for Macro Data Refinement jobs? Cities with the most Macro Data Refinement job openings:
What states have the most Macro Data Refinement jobs? States with the most job openings for Macro Data Refinement jobs include:
What job categories do people searching Macro Data Refinement jobs look for? The top searched job categories for Macro Data Refinement jobs are:
Macro Data Refinement jobs near you
Infographic showing various Macro Data Refinement job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 56% In-person, 33% Hybrid, and 11% Remote job distribution, with an average salary of $99,231 per year, or $47.7 per hour.

Macro Research Analyst/ NYC / $ Flexible

Eka Finance

Manhattan, NY • On-site

Full-time

Re-posted 5 days ago

Job description

We are partnering with a research-driven global macro hedge fund that integrates deep fundamental macro thinking with systematic investment discipline. The strategy operates across major global macro asset classes — equities, foreign exchange, rates, and commodities — allocating capital dynamically where macro risk-reward is most compelling.

The team is deliberately small, intellectually rigorous, and highly collaborative. The platform combines the entrepreneurial pace and responsibility of a focused investment team with the backing and operational robustness of institutional infrastructure.

This is a high-exposure role suited to someone who wants to contribute meaningfully to idea generation, portfolio construction, and live risk decisions.

The Role

The Macro Research Analyst will work directly with the Chief Investment Officer and contribute across the full investment process. Responsibilities include:

  1. Developing macroeconomic nowcasts and regime analysis
  2. Building and refining systematic macro signals
  3. Conducting cross-asset research to express thematic views
  4. Supporting portfolio construction and risk management decisions
  5. Producing high-quality research materials for internal and external use

Research spans the complete lifecycle of an idea — from macro hypothesis formation and empirical testing through implementation, monitoring, and refinement within live portfolios.

The investment philosophy is grounded in causal reasoning rather than narrative storytelling. Research must clearly articulate economic mechanisms, policy transmission channels, and regime dynamics. Assumptions are expected to be challenged, correlations stress-tested, and signals linked to defensible macro logic.

You will collaborate closely with other researchers across macro analysis, systematic modelling, and portfolio construction. Intellectual openness, constructive debate, and disciplined skepticism are core to the culture.

Candidate Profile

We are looking for an intellectually independent macro thinker who is equally comfortable with economic theory and systematic implementation.

Required Experience

  1. 4–7 years of relevant experience in macro research, systematic macro investing, or global markets
  2. Strong command of macroeconomic concepts, data, and policy dynamics
  3. Experience working with systematic strategies, particularly those incorporating fundamental or low-frequency macro data
  4. Ability to work autonomously and solve open-ended research problems
  5. Clear, concise written and verbal communication
  6. High integrity and intellectual honesty
  7. Genuine passion for financial markets

Location & Eligibility

  1. Role based in New York
  2. Candidates must have the legal right to work in the United States; existing visa status is strongly preferred

Preferred but Not Essential

  1. Experience in discretionary and/or systematic trading environments
  2. Portfolio construction and risk management expertise
  3. Strong quantitative or data science capability
  4. Track record of writing or publishing macro research

Apply