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Quant Developer Virtual Jobs in Virginia (NOW HIRING)

Digital Architecture & Modeling Engineer

Herndon, VA · Hybrid

$57.25 - $76.50/hr

... quantitative evaluation, including performance modeling, capacity analysis, discrete-event ... Support virtual integration and system-of-systems analysis to evaluate how independently developed ...

New

Digital Architecture & Modeling Engineer

Herndon, VA · Hybrid

$57.25 - $76.50/hr

... quantitative evaluation, including performance modeling, capacity analysis, discrete-event ... Support virtual integration and system-of-systems analysis to evaluate how independently developed ...

New

No relocation assistance available Virtual/Telework Opportunity: No - Not eligible for telework ... and quantitative judgments concerning technical data. Uses personal computer in performance of ...

No relocation assistance available Virtual/Telework Opportunity: No - Not eligible for telework ... and quantitative judgments concerning technical data. Uses personal computer in performance of ...

No relocation assistance available Virtual/Telework Opportunity: No - Not eligible for telework ... and quantitative judgments concerning technical data. Uses personal computer in performance of ...

No relocation assistance available Virtual/Telework Opportunity: No - Not eligible for telework ... and quantitative judgments concerning technical data. Uses personal computer in performance of ...

No relocation assistance available Virtual/Telework Opportunity: No - Not eligible for telework ... and quantitative judgments concerning technical data. Uses personal computer in performance of ...

No relocation assistance available Virtual/Telework Opportunity: No - Not eligible for telework ... and quantitative judgments concerning technical data. Uses personal computer in performance of ...

Showing results 21-40

Quant Developer Virtual information

What is a quant developer virtual?

Quant Developer Virtual roles refer to remote or online positions where professionals design, develop, and maintain quantitative models and algorithms, typically for financial institutions or trading firms. These developers use programming languages like Python, C++, or Java to implement mathematical models for pricing, risk management, and trading strategies. Working virtually, they collaborate with teams through digital platforms and are often responsible for analyzing large datasets and optimizing code performance. This role requires both strong programming skills and a solid foundation in quantitative finance or mathematics.

What skills and qualifications are needed to thrive as a quant developer virtual?

To thrive as a Quant Developer Virtual, you need a strong background in mathematics, statistics, programming (especially Python, C++, or Java), and a relevant degree such as computer science, engineering, or quantitative finance. Familiarity with financial modeling tools, statistical analysis software, and version control systems like Git is typically expected. Exceptional problem-solving, analytical thinking, and effective remote communication skills set top candidates apart. These skills are crucial for developing robust quantitative models and collaborating effectively in distributed financial teams.

What are common challenges faced by quant developers working in a virtual or remote environment?

Quant Developers working virtually often face challenges in seamless collaboration, especially when discussing complex mathematical models or code structures. Effective communication is crucial, as much of the work involves frequent coordination with traders, data scientists, and other developers. To overcome these hurdles, many teams use collaborative tools, version control systems, and regular video meetings. It's also important for remote Quant Developers to proactively stay updated on project requirements and maintain clear documentation to ensure team alignment.

What is the difference between Quant Developer Virtual vs Quant Analyst?

AspectQuant Developer VirtualQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; programming skillsDegree in Finance, Economics, or Math; strong analytical skills
Work EnvironmentRemote, collaborative with developers and tradersOffice or remote, focused on data analysis and modeling
Industry UsageFinancial firms, hedge funds, banksAsset management, hedge funds, investment banks
Common Search/ComparisonYesYes

The main difference between a Quant Developer Virtual and a Quant Analyst lies in their focus and responsibilities. Quant Developers Virtual primarily build and implement trading algorithms and software, requiring strong programming skills. Quant Analysts focus on analyzing data, developing models, and providing insights for investment decisions. Both roles are essential in finance but differ in technical depth and daily tasks.

What are the most commonly searched types of Quant Developer jobs in Virginia?

The most popular types of Quant Developer jobs in Virginia are:

What cities in Virginia are hiring for Quant Developer Virtual jobs?

Cities in Virginia with the most Quant Developer Virtual job openings:

Research Specialist Intermediate

University of Virginia

Charlottesville, VA • On-site

$88K/yr

Full-time

Re-posted 13 days ago


University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

209th of 621 rated colleges and universities


Job description

University of Virginia: Research Specialist Intermediate - Charlottesville, VA
DUTIES:
  • Play a key role in advancing cancer-related population health research within the Population Health and Cancer Outcomes Core (PHCOC).
  • Support the Core Director and Lead Statistician in producing analytical reports on cancer incidence, mortality, treatment patterns and outcomes using large scale state and national databases to inform clinical practice, population health strategy and public health policy.
  • Responsible for full data lifecycle - from data acquisition and preprocessing to statistical modeling, visualization and reporting of results.
  • Teach and share analytical knowledge and best practices with the broader university research community.
  • Extract and clean data from large-scale cancer-related administrative and clinical databases, including SEER-Medicare, state cancer registries, the Virginia All-Payer Claims Database (APCD), and Electronic Health Record (EHR) data.
  • Generate analytical patient cohorts using SQL in virtual machine and cloud computing environments.
  • Conduct advanced statistical analyses, including linear and logistic regression, survival analysis, Cox proportional hazards modeling, propensity score matching, Blinder-Oaxaca decomposition, longitudinal data analysis, and econometric modeling to examine cancer outcomes and disparities in cancer care.
  • Utilize statistical software packages such as SAS, Stata, R, and Python to perform data analysis.
  • Apply machine learning and artificial intelligence tools to identify predictive factors and optimize analytic performance.
  • Assist in the preparation of administrative and compliance documents required for database access and data use agreements.
  • Perform geospatial analyses to assess geographic variation in cancer burden, healthcare access, and outcomes, using tools such as ArcGIS.
  • Create data visualizations, dashboards, and infographics to communicate findings, using tools such as Tableau, Canva, Lucidchart, and Microsoft PowerPoint.
  • Prepare publication-ready written and graphical outputs for manuscripts, reports, and conference presentations.
  • Collaborate with faculty, clinicians, and researchers to interpret statistical findings and translate analytical results into actionable insights for research and policy.
  • Contribute to the development and implementation of standardized analytic workflows and reproducible data pipelines for quality assurance and reproducibility.
  • Lead teaching workshops throughout the year to train students and staff in working with healthcare claims and population datasets.

REQUIREMENTS: Bachelor's degree in statistics, biostatistics, data science, economics, public policy or a closely related quantitative field along with a minimum of 3 years of relevant quantitative data modelling experience. OR Master's degree in statistics, biostatistics, data science, economics, public policy or a closely related quantitative field will be accepted in lieu of experience.
Qualified candidate must demonstrate knowledge of:
  • Data management, data cleaning, and preprocessing to conduct rigorous statistical analysis and interpretation
  • Advanced statistical methodologies, including linear and logistic regression, longitudinal data analysis, and econometric modeling
  • Statistical programming for large datasets using software such as SAS, Stata, R, and Python
  • Extracting and querying large-scale datasets using SQL in both local and cloud environments
  • Applied machine learning and artificial intelligence tools to identify predictive factors and improve analytic performance
  • Batch processing and data science workflows for efficient handling of largescale datasets
  • Working with community-level and population-based data sources, including the American Community Survey (ACS)
  • Working within virtual machine and cloud-based environments for data processing and analysis
  • Spatial data analysis using ArcGIS or related GIS tools
  • Creating data visualizations, dashboards, and infographics using software such as Tableau, R, or Python
  • Developing standardized analytical workflows, reproducible data pipelines, technical documentation and using version control tools such as Git
  • Managing multiple projects simultaneously, prioritizing tasks efficiently, and tracking progress
  • Teaching lectures or workshops focused on data programming and analytics

Knowledge may be gained through education, training and/or experience.
SALARY: $88,899.00 per year
LOCATION: 560 Ray C. Hunt Drive, Charlottesville, VA 22903
How to Apply
Please apply online through Online and search for R0084729. Complete the application and upload the following required materials:
Internal applicants may search and apply for jobs on the UVA Internal Careers website .
  • Cover letter
  • Resume

Reference Check Process
Reference checks will be completed via SkillSurvey. Five references will be requested, with a minimum of three responses required.
Contact
For questions about this position, please contact the recruiter Bill Crane at Xer5ff@virginia.edu
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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About University of Virginia

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819