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Contract Quantitative Researcher Jobs (NOW HIRING)

Mondo

Lead UX Researcher

San Francisco, CA · Remote

$60 - $80/hr

The start date is ASAP for this 1-year contract position. Job Title: Principal UX Researcher ... Design and execute qualitative and quantitative research studies. * Conduct generative, evaluative ...

Mondo

Lead UX Researcher

San Francisco, CA · Remote

$60 - $80/hr

The start date is ASAP for this 1-year contract position. Job Title: Principal UX Researcher ... Design and execute qualitative and quantitative research studies. * Conduct generative, evaluative ...

Citi

Quantitative Analyst - Rates XVA

New York, NY · Hybrid

$175K - $250K/yr

... contracts. Hands-on experience with Python for quantitative research, model development, or analytical workflows. Knowledge of financial products, investment instruments, and quantitative methods as ...

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$52.5K

$119.2K

$196.5K

How much do contract quantitative researcher jobs pay per year?

As of Sep 13, 2026, the average yearly pay for contract quantitative researcher in the United States is $119,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $152,500.00 per year, depending on experience, location, and employer.

What is a contract quantitative researcher?

A Contract Quantitative Researcher is a professional who is hired on a temporary or project basis to analyze data, develop models, and apply mathematical and statistical techniques to solve problems, usually in finance, technology, or scientific research. Unlike full-time employees, contract quantitative researchers work on specific assignments and often bring specialized expertise to organizations. Their work can include developing trading algorithms, risk models, or conducting data-driven research to inform business decisions. They typically have advanced skills in mathematics, programming, and data analysis.

What does a contract quantitative researcher do?

As a Contract Quantitative Researcher, you may be tasked with developing and backtesting trading algorithms, analyzing large financial datasets to identify patterns, or designing statistical models for risk management. Projects often involve close collaboration with traders, data engineers, and other researchers to translate business needs into actionable research. Since engagements are contract-based, you might work on focused, high-impact projects requiring quick onboarding and the ability to deliver results independently or as part of a small, agile team.

What are the key skills and qualifications needed to thrive as a contract quantitative researcher?

To thrive as a Contract Quantitative Researcher, you typically need strong analytical skills, a background in mathematics or statistics, and experience with data modeling and analysis. Proficiency with programming languages such as Python, R, or MATLAB, as well as familiarity with statistical software and data visualization tools, is essential. Excellent problem-solving abilities, attention to detail, and clear communication help set top performers apart in this role. These skills ensure accurate, actionable insights and effective collaboration with stakeholders to drive data-driven decisions.

What is the difference between Contract Quantitative Researcher vs Contract Data Analyst?

AspectContract Quantitative ResearcherContract Data Analyst
Required CredentialsTypically requires a master's or PhD in quantitative fields, statistics, or related areasUsually requires a bachelor's or master's in data science, statistics, or related fields
Work EnvironmentResearch-focused, often in finance, academia, or market research firmsData-focused, working in various industries like marketing, finance, or tech companies
Employer & Industry UsageCommon in finance, consulting, and research institutionsWidespread across industries including finance, healthcare, and technology

Contract Quantitative Researchers and Contract Data Analysts share overlapping skills in data analysis and statistical methods. However, Quantitative Researchers focus more on developing models and conducting in-depth research, often requiring advanced degrees, while Data Analysts typically handle data processing and reporting tasks. Both roles are vital in data-driven industries but differ in scope and complexity.

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Contract Quantitative Researcher jobs near you
Infographic showing various Contract Quantitative Researcher job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 82% Full Time, 15% Part Time, and 1% Contract. Highlights an 70% Physical, 5% Hybrid, and 25% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Quantitative Research Analyst (Data Modeling & Imputation) - Only W2

Chicago, IL • On-site

Saransh Inc
IT Services • 51 - 200 employees
Learn more about Saransh Incexternal

Contractor

Re-posted 4 days ago

Job description

Role: Quantitative Research Analyst (Data Modeling & Imputation)
Location: Chicago, IL (or) Boston, MA (Onsite from Day 1)
Job Type: W2 Contract
 
Description:
  • Build and maintain end-to-end data pipelines across structured and unstructured datasets
  • Develop imputation frameworks for missing or sparsely reported financial data (e.g., segment-level estimates, coverage gaps, timing mismatches)
  • Design and implement data normalization and reconciliation logic across overlapping hierarchies (e.g., segments, geographies, entities)
  • Perform data quality diagnostics, including coverage analysis, bias detection, and stability testing
  • Partner with researchers to translate raw data into model-ready features
  • Write efficient, reproducible code in Python and SQL for large-scale data processing
  • Document methodologies clearly to ensure transparency and repeatability
  • Educational Background: CFA charterholder or MBA in Finance.
  • Technical Expertise:
    • Strong experience in data imputation frameworks (e.g., handling missing or incomplete financial datasets).
    • Proficiency in data wrangling and data analysis using tools such as Python, R, or SQL.
  • Domain Knowledge:
    • Solid background in the banking and financial services domain, with exposure to capital markets, risk management, or financial modeling.
  • Soft Skills:
    • Candidates must have genuine, hands‑on experience and the ability to articulate their expertise clearly during discussions and interviews.