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Remote Quantitative Developer Intern Jobs in Missouri

UMB Financial

IT Blockchain Intern

Kansas City, MO · On-site +1

$25K - $49K/mo

This role is hybrid (Mon through Thu on-site / Fri remote) at the UMB Technology & Operations ... Engineering, Mathematics/Statistics or a related field. * Demonstrated interest/experience ...

Olsson

Civil Engineer - Site Design

Kansas City, MO · On-site +1

This role offers flexible work options, including remote and hybrid opportunities, to accommodate ... Must possess Engineer Intern (EI/EIT) certificate * 2+ years of related civil engineering design ...

Olsson

Civil Engineer - Site Design

Saint Louis, MO · On-site +1

This role offers flexible work options, including remote and hybrid opportunities, to accommodate ... Must possess Engineer Intern (EI/EIT) certificate * 2+ years of related civil engineering design ...

micro1 AI

Engineering AI Evaluator (PhD)

Kansas City, MO · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Apply sophisticated calculus and quantitative methodologies to problem-solving tasks * Ensure ...

micro1 AI

Domain Expert - (STEM PhD)

Kansas City, MO · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Apply sophisticated calculus and quantitative methodologies to problem-solving tasks * Ensure ...

Third-Party Job Posts

Location - Remote (Europe) How You'll Make an Impact: As a Staff Machine Learning Engineer , you ... quantitative field. Bonus Skills to Stand Out (Optional): * Experience with CI/CD tooling (e.g ...

Kohl's

$89K - $122K/yr

Experience in MLOps or DevOps practices, including building and operating production ML systems ... equivalent quantitative field * Experience working with Data Scientists to deploy, scale, and ...

Pinion

Manager - National Tax Office

Jackson, MO · Remote

$96K - $127K/yr

Perform quantitative analysis and tax modeling to evaluate entity structures, transactions, and ... Remote Eligibility: This position is US - Remote Eligible. The role may include occasional work at ...

Fraym

GEOINT Solutions Engineer

Saint Louis, MO · On-site +1

Louis, MO area - Hybrid (On-site and Remote) What You Will Do Your responsibilities will include ... a related quantitative discipline. * Exposure to geospatial data and spatial statistics.

Meridial

$65/hr

A master's or PhD in mathematics or a closely related quantitative field is ideal; peerreviewed ... Remote Seniority level: MidSenior Level

Wood Plc

GIS Analyst - FEMA

Kansas City, MO · Remote

Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... engineering, and environmental applications #LI-Remote Skills / Qualifications Required: * 2 - 5 ...

Wood Plc

GIS Analyst - FEMA

Ballwin, MO · Remote

Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... engineering, and environmental applications #LI-Remote Skills / Qualifications Required: * 2 - 5 ...

Jobgether

$3.0K - $4.0K/mo

This entry-level opportunity is ideal for recent graduates with strong quantitative skills who are ... Fully remote full-time position. * Entry-level opportunity with structured hands-on learning and ...

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Remote Quantitative Developer Intern information

What does a Remote Quantitative Developer Intern do?

A Remote Quantitative Developer Intern works with quantitative analysts and software engineers to design, develop, and implement algorithms and tools used for financial modeling and data analysis, often in the finance or trading industry. They typically use programming languages like Python, C++, or Java to build and test quantitative models remotely. Their work helps organizations make data-driven decisions, optimize trading strategies, and manage risk. As an intern, they also gain exposure to advanced mathematical concepts, financial markets, and collaborative software development processes.

What are some common challenges faced by Remote Quantitative Developer Interns, and how can they overcome them?

Remote Quantitative Developer Interns often face challenges such as effective communication with distributed teams, managing time across different time zones, and accessing necessary data or systems securely. To overcome these challenges, it's important to proactively schedule regular check-ins with mentors, make use of collaborative tools like version control and project management platforms, and clarify expectations early on. Additionally, documenting your work and seeking feedback can help ensure alignment and smooth progress throughout the internship.

What are the key skills and qualifications needed to thrive as a Remote Quantitative Developer Intern, and why are they important?

A Remote Quantitative Developer Intern should have strong programming skills (such as Python or C++), a solid foundation in mathematics or statistics, and be working toward a relevant degree like computer science, engineering, or applied math. Familiarity with quantitative libraries, version control systems (like Git), and data analysis tools is typically expected. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills, especially for remote collaboration. These skills ensure interns can efficiently contribute to quantitative research and development projects, adapt to fast-paced environments, and communicate findings clearly within distributed teams.

What is the difference between Remote Quantitative Developer Intern vs Quantitative Analyst Intern?

AspectRemote Quantitative Developer Intern
Required Credentials
Typically pursuing or holding a degree in Computer Science, Mathematics, or related fields; coding skills essential
Work Environment
Remote, collaborative teams within financial firms or hedge funds
Employer & Industry Usage
Commonly employed in quantitative trading firms, hedge funds, or financial technology companies
Comparison Summary

The Remote Quantitative Developer Intern focuses on coding, developing algorithms, and building trading models, requiring strong programming skills. In contrast, a Quantitative Analyst Intern typically emphasizes data analysis, statistical modeling, and research. Both roles often require similar educational backgrounds and are found in financial industries, but their core responsibilities differ, with the developer role being more technical and programming-oriented.

What are popular job titles related to Remote Quantitative Developer Intern jobs in Missouri? For Remote Quantitative Developer Intern jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Quantitative Developer Intern jobs in Missouri look for? The top searched job categories for Remote Quantitative Developer Intern jobs in Missouri are:
What cities in Missouri are hiring for Remote Quantitative Developer Intern jobs? Cities in Missouri with the most Remote Quantitative Developer Intern job openings:
Remote Quantitative Developer Intern jobs near you
Software Engineering Intern (Time-Limited/Remote) - WashU IT

Software Engineering Intern (Time-Limited/Remote) - WashU IT

Washington University

Saint Louis, MO • On-site, Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Scheduled Hours
40
Position Summary
Assists in application development and integration on our High-Performance Computing (HPC) cluster used by researchers across disciplines. Work closely with research computing staff, software engineers, and faculty to help build, optimize, and support scientific and data-intensive applications on a modern HPC environment.
This role is ideal for a student who enjoys software development, is curious about large-scale computing, and wants hands-on experience enabling real-world research in areas such as computational science, AI/ML, bioinformatics, and data analytics.
Job Description
Primary Duties & Responsibilities:
  • Develop, test, and maintain tools, scripts, and services that support research workflows on the HPC cluster (e.g., job submission helpers, workflow automation, monitoring tools).
  • Contribute to internal web applications, command-line tools, or APIs that simplify HPC usage for researchers.
  • Assist with integrating new research applications and libraries into the cluster environment.
  • Follow software engineering best practices including version control, code reviews, issue tracking, and testing.
  • Write clean, maintainable, and well-documented code.
  • Help identify and implement improvements to development processes and tooling.
  • Configure, build, and test scientific software, libraries, and containerized applications (e.g., Singularity/Apptainer, Docker) for use on the cluster.
  • Contribute to performance testing and benchmarking of applications, analyzing results and suggesting improvements.
  • Support efforts to improve usability, reliability, and automation within the HPC software stack.

Working Conditions:
Job Location/Working Conditions
  • Normal office environment

Physical Effort
  • Typically sitting at a desk or table
  • Repetitive wrist, hand or finger movement

Equipment
  • Office equipment

The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.
Required Qualifications
Education:
A diploma, certification or degree is not required.
Certifications/Professional Licenses:
No specific certification/professional license is required for this position.
Work Experience:
No specific work experience is required for this position.
Skills:
Not Applicable
Driver's License:
A driver's license is not required for this position.
More About This Job
WashU seeks highly motivated individuals who are able to perform duties in a manner consistent with our core mission and guiding principles.
Preferred Qualifications
Education:
No additional education unless stated elsewhere in the job posting.
Certifications/Professional Licenses:
No additional certification/professional licenses unless stated elsewhere in the job posting.
Work Experience:
No additional work experience unless stated elsewhere in the job posting.
Skills:
Analytical Thinking, Artificial Intelligence Algorithms, C++ Programming Language, Communication, Data Analysis, Feature Engineering, Git, Independent Problem Solving, JavaScript, Linux Environments, Machine Learning (ML), Python (Programming Language), PyTorch, scikit-learn, Tensorflow, Web Application Frameworks, Work Collaboratively
Grade
G11-H
Questions
For frequently asked questions about the application process, please refer to our External Applicant FAQ.
Accommodation
If you are unable to use our online application system and would like an accommodation, please email CandidateQuestions@wustl.edu or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.
All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.
Pre-Employment Screening
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.
EEO Statement
Washington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University's policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.

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