Quantitative developer [h1.location_city]
[job_alerts.create_a_job]
Quantitative developer • washington dc
Quantitative Researcher
VirtualVocationsArlington, Virginia, United StatesQuantitative Analytics Manager
Freddie MacMcLean, VA- [promoted]
Quantitative Analytics and Model Group Manager
PNCWest Mclean, VA, USSummer 2025 Intern - Quantitative Risk Analysis - RBOPS
Federal Reserve SystemWashington, DCSoftware Developer
SsgSilver Spring, Maryland, United States- [promoted]
Web Developer
J5 ConsultingMcLean, VA, USDeveloper
ATD Technology LLCMcLean, Maryland, USA- [promoted]
Appian Developer
Clearance JobsBethesda, MD, USAPI Developer
Amdex CorporationBethesda, MD, US- [promoted]
Web Developer
TradeJobsWorkForce22206 Arlington, VA, US- [promoted]
Informatica Developer
Zone IT SolutionsWashington, DC, US- [promoted]
Drupal Developer
Contact Government Services, LLCWashington, DC, US- [promoted]
Psychometrician / Quantitative Analyst : Senior-Level
Human Resources Research OrganizationAlexandria, VA, USCOTS Developer
Monster jobsFalls Church, VA, US- [promoted]
Python Developer
LeidosSpringfield, VA, US- [promoted]
Software Developer
Akiak Enterprise ServicesWashington, DC, USQuantitative Analytics Senior - Capital Markets
Ashton Lane Group, IncMcLean, VA, USACredit Model Quantitative Lead (Hybrid)
M&T BankWashington, DCPrincipal Quantitative Modeler
Capital OneMcLean, VAQuantitative Researcher
VirtualVocationsArlington, Virginia, United States- [job_card.part_time]
A company is looking for a part-time Quantitative Researcher to support a team focused on international survey and consumer behavior research.
Key Responsibilities
Conduct statistical analyses for international audience research and program evaluation studies
Interpret and synthesize complex statistical outputs into clear summaries for diverse audiences
Prepare analytical sections of research reports and support quality assurance review of statistical methods
Required Qualifications
PhD in biostatistics, statistics, epidemiology, or related quantitative field (or ABD with completion expected within 6 months)
1-3 years of post-doctoral experience in applied statistical analysis or equivalent experience through doctoral research
Proficiency in statistical software (R or SPSS; experience with both preferred)
Strong foundation in regression analysis and statistical modeling techniques
Familiarity with project management tools and ability to manage multiple concurrent projects