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Remote Financial Engineering Intern Jobs in Missouri

UMB Financial

IT Blockchain Intern

Kansas City, MO · On-site +1

$25K - $49K/mo

We analyze market trends, emerging technologies, and financial sector dynamics to identify ... This role is hybrid (Mon through Thu on-site / Fri remote) at the UMB Technology & Operations ...

Jobgether

Collaborate closely with product and engineering teams to influence platform improvements and ... Fully remote work flexibility across Europe. * Home office allowance to support your ideal remote ...

Olsson

Civil Engineer - Site Design

Kansas City, MO · On-site +1

This role offers flexible work options, including remote and hybrid opportunities, to accommodate ... Bachelor's degree in Civil Engineering * Must possess Engineer Intern (EI/EIT) certificate * 2+ ...

Olsson

Civil Engineer - Site Design

Saint Louis, MO · On-site +1

This role offers flexible work options, including remote and hybrid opportunities, to accommodate ... Bachelor's degree in Civil Engineering * Must possess Engineer Intern (EI/EIT) certificate * 2+ ...

UMB Financial

Workflow Developer

Kansas City, MO · On-site +1

However, the remote location must be within the US. How you'll spend your time: * Build technical ... Financial services or banking industry experience. Applicants must have legal authority to work in ...

UMB Financial

Cloud Engineer

Kansas City, MO · On-site +1

$83K - $131K/yr

This role is hybrid (Mon through Thu on-site / Fri remote) at the UMB Technology & Operations ... Banking/financial services industry experience * Development experience especially with .NET * AWS ...

Yuno

Remote, Europe Full Time Experienced Engineering Manager +6 Years of Experience Who We Are At Yuno ... Collaborate closely with Product, Analytics, Machine Learning, Finance, and Compliance teams in an ...

Jobgether

... finance and scientific research. You will collaborate closely with engineers and product ... Fully remote working environment with distributed, collaborative teams * Opportunity to work on ...

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Remote Financial Engineering Intern information

What are some common challenges faced by Remote Financial Engineering Interns, and how can they effectively overcome them?

Remote Financial Engineering Interns often encounter challenges related to communication and collaboration, since much of their work involves complex quantitative modeling and teamwork with senior engineers or analysts. To overcome these hurdles, interns should proactively schedule regular check-ins with mentors, utilize collaborative tools for code sharing and project management, and clearly document their work. Additionally, managing time zones and staying self-motivated are key—setting a structured daily routine and leveraging virtual learning sessions can help interns stay productive and connected with their teams.

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

To thrive as a Remote Financial Engineering Intern, you need a solid background in quantitative finance, programming (such as Python or R), and mathematical modeling, typically supported by coursework in finance, mathematics, or engineering. Familiarity with financial analysis software, coding platforms, data visualization tools, and potentially Bloomberg Terminal or similar systems is highly beneficial. Strong analytical thinking, attention to detail, self-motivation, and effective written communication are vital soft skills for remote collaboration and problem-solving. These competencies are essential for contributing to complex financial projects, interpreting data accurately, and working efficiently within distributed teams.

What is a Remote Financial Engineering Intern?

A Remote Financial Engineering Intern is a student or recent graduate who works remotely to support financial engineers in tasks like modeling financial products, analyzing data, programming algorithms, and assisting with risk management. This role typically involves using quantitative skills and programming languages such as Python, R, or MATLAB to solve real-world financial problems. Interns may work for investment banks, hedge funds, fintech companies, or financial consultancies, gaining hands-on experience in quantitative finance without needing to be on-site.
What are popular job titles related to Remote Financial Engineering Intern jobs in Missouri? For Remote Financial Engineering Intern jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Financial Engineering Intern jobs in Missouri look for? The top searched job categories for Remote Financial Engineering Intern jobs in Missouri are:
What cities in Missouri are hiring for Remote Financial Engineering Intern jobs? Cities in Missouri with the most Remote Financial Engineering Intern job openings:
Remote Financial Engineering Intern jobs near you
Infographic showing various Remote Financial Engineering Intern job openings in Missouri as of June 2026, with employment types broken down into 2% Internship, 33% Full Time, 35% Part Time, 8% Temporary, 21% Contract, and 1% Nights. Highlights an 37% Physical, 4% Hybrid, and 59% Remote job distribution.

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

Washington University

Saint Louis, MO • On-site, Remote

Full-time

Posted 11 days ago

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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