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Quant Developer Remote Jobs (NOW HIRING)

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

As a Data Scientist, you will be working with our engineering team to model complex problems and ... Master's Degree in Data Science, Statistics, Applied Mathematics, or another quantitative field You ...

MLabs

DevOps / Infrastructure Engineer

$100K - $130K/yr

Location: Remote - EST timezone Remote Full-time Compensation: $100K - $130K We are hiring on ... Prior exposure to quantitative trading systems, high-frequency execution runtimes, or deep ...

Jobsultant Solutions

Remote Data Analyst

Dallas, TX · Remote

Work Environment: * 100% remote - must work in CST * 8am-5pm (9 hour day with one hour lunch break ... Science, Technology, Engineering, Mathematics and/or other quantitative analytical degree a plus

SAS

Software Developer, AML

Cary, NC · On-site +1

Software Developer- Hybrid in Cary, NC or Remote in NC, VA, GA, SC, TN We're a leader in data and ... Bachelor's degree in Computer Science, Statistics or related quantitative field * Five or more ...

LEO&Co

Part Time Data Analyst (Remote)

New York, NY · Remote

Perform other duties, as needed Qualifications: * 5+ years of experience in Quantitative Analysis ... Engineering and Data Visualization related work * Associate's and/or Bachelor's Degree * Well ...

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Quant Developer Remote information

See salary details

$169K

$210.6K

$240.5K

How much do quant developer remote jobs pay per year?

As of Aug 10, 2026, the average yearly pay for quant developer remote in the United States is $210,625.00, according to ZipRecruiter salary data. Most workers in this role earn between $187,500.00 and $233,800.00 per year, depending on experience, location, and employer.

What are some typical challenges quant developers face when working remotely, and how can they overcome them?

Quant Developers working remotely often encounter challenges such as coordinating with globally distributed teams, maintaining effective communication with traders and researchers, and ensuring secure access to sensitive financial data. Overcoming these challenges involves leveraging collaboration tools, establishing clear communication protocols, and adhering to robust cybersecurity practices. Regular virtual meetings and comprehensive documentation also help maintain alignment and workflow efficiency within the remote quant team.

What skills and qualifications are needed to thrive as a quant developer in a remote setting?

To thrive as a Quant Developer remotely, you need strong quantitative analysis, programming expertise (especially in Python, C++, or Java), and a background in mathematics, statistics, or finance, often supported by an advanced degree. Familiarity with financial modeling tools, version control systems like Git, and cloud-based collaboration platforms is essential. Exceptional problem-solving skills, self-motivation, and effective communication are key soft skills for excelling in a distributed team environment. These abilities enable accurate model development, seamless remote collaboration, and timely delivery of complex financial solutions.

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

AspectQuant Developer RemoteQuant Analyst Remote
Required CredentialsDegree in Math, Finance, or Computer Science; programming skills (Python, C++, SQL)Degree in Finance, Economics, or Math; strong analytical skills; some programming knowledge
Work EnvironmentCollaborates with developers and traders; coding-focusedAnalyzes data and market trends; supports trading strategies
Employer & Industry UsageFinancial firms, hedge funds, asset managersFinancial institutions, hedge funds, investment firms
Common Search & ComparisonOften compared for technical roles in quant teamsRelated but more analysis-focused

While both roles operate within the finance industry and require quantitative skills, Quant Developer Remote primarily focuses on coding and developing trading algorithms, whereas Quant Analyst Remote emphasizes data analysis and strategy support. Understanding these differences helps candidates target their job search effectively.

What is a quant developer?

Quant Developers, or quantitative developers, are specialized software engineers who design, build, and maintain complex financial models, trading algorithms, and analytical tools for financial institutions. They work closely with quantitative analysts (quants) to implement mathematical models into code, often using programming languages like Python, C++, or Java. When working remotely, Quant Developers collaborate with teams via digital communication tools and are responsible for ensuring code quality and optimizing performance to support trading and risk management strategies.
More about Quant Developer Remote jobs
What cities are hiring for Quant Developer Remote jobs? Cities with the most Quant Developer Remote job openings:
What are the most commonly searched types of Quant Developer jobs? The most popular types of Quant Developer jobs are:
What states have the most Quant Developer Remote jobs? States with the most job openings for Quant Developer Remote jobs include:
What job categories do people searching Quant Developer Remote jobs look for? The top searched job categories for Quant Developer Remote jobs are:
Quant Developer Remote jobs near you
Infographic showing various Quant Developer Remote job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% Remote job distribution, with an average salary of $210,625 per year, or $101.3 per hour.

Postdoctoral Fellow, NSF EPSCoR

University of Idaho Job

Moscow, ID • On-site, Remote

$60K/yr

Full-time

Re-posted 26 days ago

Job description

Position Information
Internal Posting? Posting Number SP005318P Position Title Postdoctoral Fellow, NSF EPSCoR Division/College College of Agricultural & Life Sciences Department IWRRI Location Boise Posting Context Statement Position Overview
We are seeking a postdoctoral scholar to contribute to a sub-project of the NSF EPSCoR project - Idaho Community-Engaged Resilience for Energy-Water Systems (I-CREWS), which seeks to increase understanding of how physical infrastructure, data, governance, local knowledge, and community context shape resilience under meteorological, population, and technological change. The postdoc will lead data analysis and modeling on the sub-project titled "Coupled Water and Energy Consequences of Agricultural-to-Urban Transitions in the Treasure Valley".

The postdoc will combine ground-based measurements of evapotranspiration (ET) in turfgrass and satellite-based consumptive use (CU) modeling to compare outdoor water use and associated energy demand across agricultural and urban land uses. The team will (1) develop and validate locally relevant methods to estimate consumptive use across mixed urban-agricultural landscapes, (2) estimate the energy required for water system operations under different land-use and infrastructure configurations, and (3) co-produce case studies with local partners to inform alternative futures modeling and resilience planning for the Treasure Valley.
Unit URL
https://iwrri.uidaho.edu/
Position Qualifications
Required Experience
  • Experience working with quantitative analysis, modeling, or data-driven methods related to energy-water systems
  • Experience collaborating with multidisciplinary teams, community partners, or stakeholder groups
  • Experience presenting or documenting research methods, findings, or technical information
  • Experience working with environmental or geospatial datasets, including remote sensing, flux tower or micrometeorological data, weather or climate data, or hydrologic observations
  • Experience conducting quantitative data analysis related to hydrologic systems, including statistics, time-series analysis, geospatial analysis, or model calibration and validation
  • Experience using scientific programming or data-analysis languages such as Python, R, or MATLAB to process environmental datasets and implement models
  • Evidence of scholarly activity through peer-reviewed publications, conference presentations, or equivalent research outputs
Required Education
  • PhD in hydrology, civil or environmental engineering, water resources, geography, environmental science, agricultural engineering, remote sensing, or a closely related field, completed by the start date.
Required Other
  • None
Additional Preferred
  • None
Physical Requirements & Working Conditions
  • None
Degree Requirement Listed degree qualification is required at time of hire
Posting Information
FLSA Status Exempt Employee Category Exempt Pay Range $60,000 annually or higher depending on experience Type of Appointment Fiscal Year FTE
1
Full Time/Part Time Full Time Funding This position is contingent upon the continuation of work and/or funding. A visa sponsorship is available for the position listed in this vacancy. Uncertain Posting Date 06/15/2026 Closing Date Open Until Filled Yes Special Instructions to Applicants
Applications received by July 10, 2026, will receive first consideration.
Applicant Resources https://www.uidaho.edu/human-resources/careers/applicant-resources Background Check Statement
Applicants who are selected as final possible candidates must be able to pass a criminal background check.
EEO Statement
The University of Idaho is an equal employment opportunity employer, including veterans and individuals with disabilities.

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