Top 3658 Quantitative Research Analyst Jobs

Quantitative Analyst
Thompson Consulting and Analytics —Remote
- $100 - $150 an hour
- Contract
- Remote
- Mid-level
- Master's degree
- Analysis skills
- Flexible schedule
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1d
Quantitative Research Analyst
Sylver Consulting —Evanston, IL
- Contract
- Mid-level
- Analysis skills
- In-person
Quantitative Research Analyst
Verition Group LLC —New York, NY
- $100,000 - $200,000 a year
- Computer Science
- Mid-level
- Office
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Research & Insights Analyst
Zenni Optical —Novato, CA
- $108,600 - $149,270 a year
- Full-time
- Remote
- Mid-level
- Master's degree
- Bachelor's degree
- Paid parental leave
- AD&D insurance
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Research and Policy Analyst
The Center for Global Health and Development —Remote
- $26 - $30 an hour
- Full-time
- Remote
- Finance
- Analysis skills
- Bachelor's degree
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4d
Quantitative Reasoning Analyst - AI Trainer
DataAnnotation —Bangor, ME
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
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Quantitative Analyst - AI Trainer
DataAnnotation —Champaign, IL
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
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CIMR Senior Analyst
Takasago International Corporation U S A —Rockleigh, NJ
- $74,670 - $80,000 a year
- Full-time
- Marketing
- Bachelor of Science
- Mid-level
- Health insurance
- Tuition reimbursement
Lead Quantitative Analyst (Charlotte, NC (Hybrid) or Remote)
Brighthouse Financial —Charlotte, NC
- $160,000 - $210,000 a year
- Full-time
- Hybrid work
- Analysis skills
- Senior level
- Communication skills
- Paid parental leave
- Health savings account
14d
Senior Survey Research Statistician
Gallup —Washington, DC
- $175,000 - $190,000 a year
- Hybrid work
- Office
- Doctor of Philosophy
- Mentoring
- Health insurance
- Dental insurance
Cyber Data Analyst / Coordinator
Peraton —Fort Meade, MD
- $146,000 - $234,000 a year
- 7 years
- Bachelor of Science
- Bachelor's degree
- Health savings account
- Paid holidays
Manager - Data Analytics - Portsmouth, NH
Service Credit Union —Portsmouth, NH
- From $120,000 a year
- Full-time
- Microsoft Word
- Management
- 5 years
- Health savings account
- AD&D insurance
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Pricing Analyst - AI Trainer
DataAnnotation —Arlington, VA
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
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Finance Analyst
Can-Am Consultants —Herndon, VA
- $30 - $60 an hour
- Contract
- Microsoft Excel
- Mid-level
- Office
- Health insurance
- Dental insurance
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Senior Air-to-Air Modeling and Simulation Analyst
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $105,000 - $245,000 a year
- Full-time
- Computer Science
- Engineering
- Java
- Disability insurance
- Health insurance
9d
Modeling & Simulation Engineer / Analyst for ISRT & BMC2 Applications
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $100,000 - $245,000 a year
- Full-time
- Computer Science
- 5 years
- Mid-level
- Disability insurance
- Health insurance
Lead Research Psychologist
National Geospatial-Intelligence Agency —Springfield, VA
- $121,785 - $187,093 a year
- Online Application
- Pass drug screening
- Office
- Analysis skills
2d
Modeling, Simulation, and Analysis Technical Lead
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $100,000 - $245,000 a year
- Full-time
- Computer Science
- Research
- Analysis skills
- Disability insurance
- Health insurance
Computational Biologist I, Internal Medicine
UT Southwestern —Dallas, TX
- Full-time
- Computer science
- Computer Science
- Internal Medicine
- Paid parental leave
- Paid holidays
9h
Supply Chain Analyst - AI Trainer
DataAnnotation —Greenburgh, NY
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
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Quantitative Analyst

Thompson Consulting and Analytics
Remote

Quick Apply

Job Details

Contract
$100 - $150 an hour
1 day ago

Benefits

Flexible schedule

Qualifications

Statistics
Version control
Data preprocessing
Quantitative applied research
Data Integration (Data management)
Statistics
Econometrics
SAS
R
Master's degree
Data quality management
Econometric analysis
Data integrity and documentation
Attention to detail
Regression analysis
Python
Statistical analysis tools

Full Job Description

Job Overview

We are seeking a dynamic and detail-oriented seeking a Quantitative Analyst to support a federally funded housing policy research project. We have been invited to submit a Phase 2 application for a HUD Housing Policy Research Grant. If awarded, this is an 18-month cooperative agreement beginning October 1, 2026.

The proposed study will employs a quasi-experimental analytical framework integrating panel data regression, two-way fixed effects (TWFE) estimation, and difference-in-differences (DiD) regression analysis applied to a stratified purposive sample of counties. This will be a publication-quality research project with a final deliverable intended for HUD's huduser.gov research library and peer-reviewed journal submission.

Duties

Build and document a balanced multi-source panel dataset at the county level across approximately sampled counties in the study region.
Integrate data from public sources, third-party sources, and directly collected jurisdiction-level permitting records.
Execute propensity score matching procedures.
Maintain full data documentation and version control consistent with HUD replication file standards.
Estimate two-way fixed effects (TWFE) panel regression models for both research questions at county and MSA levels using SAS, R, or Python.
Implement difference-in-differences identification strategy including housing-activity-weighted treatment indicator construction and staggered treatment timing adjustments.
Estimate Callaway-Sant'Anna heterogeneity-robust group-time ATT(g,t) estimators alongside standard TWFE specifications to assess staggered adoption bias.
Execute event study specifications for parallel trends testing across pre-reform and post-reform periods.
Conduct full robustness check program: placebo treatment tests, alternative control group specifications, Chow tests for structural breaks, and sub-group analyses.
Produce clean, formatted output tables and figures for the Preliminary Findings Brief and Policy Action Toolkit .
Support drafting of the final research report methodology, results, and robustness sections under PI's authorship direction.
Prepare fully documented replication files.
Respond to any additional analyses requested during HUD's review and revision cycle for the draft research report.

Required Qualifications

Graduate degree in economics, applied economics, public policy, statistics, or a closely related quantitative field. Doctoral student (ABD), recent Ph.D., or master's degree with substantial applied research experience.
Demonstrated direct experience building and analyzing panel datasets. Ability to describe specific panel data projects including unit of observation, time dimension, and estimation approach.
Working proficiency in at least one of SAS, R, or Python for econometric analysis, including fixed effects panel regression.
Working knowledge of difference-in-differences methods including understanding of the parallel trends assumption, treatment effect identification, and event study specifications.
Ability to produce clean, commented, reproducible analytical code consistent with open science and replication standards.
Strong data management skills including multi-source data integration, geographic identifier matching (FIPS codes, CBSA codes), and data cleaning at scale.
Availability for concentrated engagement during the Phase 2 analytical sprint (Months 7–12, approximately October 2027 – March 2028) with no major competing commitments during that period.

Preferred Qualifications

Prior experience with housing, real estate, or urban economics datasets — ACS microdata, building permit records, HUD data, or commercial real estate data sources (CoreLogic, CoStar, Zillow).
Familiarity with geographic data and spatial aggregation tools (tidycensus in R, Census API, FIPS/CBSA crosswalks).
Exposure to quasi-experimental methods beyond basic DiD — propensity score matching, heterogeneity-robust DiD estimators, synthetic control, regression discontinuity, or instrumental variables.
Familiarity with Callaway and Sant'Anna (2021) or Sun and Abraham (2021) staggered DiD literature is a significant plus.
Prior experience on federally funded research projects, academic research assistantships, or work producing publication-quality analysis and deliverables.
Experience with data acquired through public records requests or direct administrative data collection from government agencies.

Join us if you're passionate about transforming data into impactful insights! This role offers an engaging environment where your analytical skills will shape strategic decisions that influence economic growth worldwide.

Pay: $100.00 - $150.00 per hour

Benefits:

Flexible schedule

Work Location: Remote

Quick Apply

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