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Remote Quantitative Developer Intern Jobs in Ohio

Open to remote for highly qualified candidates. #LI-REMOTE #LI-SM1 Summary Our Nationwide Financial ... programming or quantitative analysis preferred. Experience: Four or more years of systems ...

... quantitative sales targets for products, systems, and/or services to ensure sustainable order ... While this is a remote position, successful candidates should be located in a major metro area in ...

Business Analyst

Stow, OH · On-site +1

$68K - $82K/yr

Remote location with occasional travel will be considered as well. What You Will Do: As a key ... Analyze quantitative and qualitative data to identify trends, root causes, opportunities, and risks.

Business Analyst

Stow, OH · On-site +1

$68K - $82K/yr

Remote location with occasional travel will be considered as well. What You Will Do: As a key ... Analyze quantitative and qualitative data to identify trends, root causes, opportunities, and risks.

Cybersecurity Risk Manager

Fairlawn, OH · On-site +1

$70K - $140K/yr

... DevOps, Containers, and API's. * 2 years' experience with threat modeling * 2 years' experience ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Cybersecurity Risk Manager

Columbus, OH · On-site +1

$70K - $140K/yr

... DevOps, Containers, and API's. * 2 years' experience with threat modeling * 2 years' experience ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

While this is a remote position, successful candidates will be located in the Columbus, OH trade ... estate developers, owners, and investors for smart building technologies that optimize energy ...

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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.

Is 30 too late to become a quant?

Becoming a quantitative developer at any age, including 30, is possible with strong skills in mathematics, programming, and finance. Many professionals transition into quant roles after gaining experience in related fields or acquiring relevant certifications like CFA or advanced degrees. Age is less important than technical ability and continuous learning in this field.

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.

How much do quant interns make?

Quantitative developer interns typically earn between $20 and $40 per hour, with annualized salaries ranging from approximately $40,000 to $80,000 depending on location, firm size, and experience. Compensation may also include benefits and opportunities for performance-based bonuses, especially in finance or tech environments that value strong programming and analytical skills.

Does JP Morgan hire quants?

JP Morgan hires quantitative analysts and developers, often referred to as quants, for roles in risk management, trading, and financial modeling. These positions typically require strong skills in mathematics, programming, and data analysis, and may involve working with tools like Python, C++, or MATLAB. Internships and entry-level roles are also available for aspiring quants.

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.

Is 30 an hour good for an intern?

For a remote quantitative developer intern, earning $30 an hour is above the average internship pay, which typically ranges from minimum wage to around $20 per hour. This rate reflects the specialized skills in programming, data analysis, and financial modeling often required for such roles. However, pay standards can vary based on location, company, and experience level.
What job categories do people searching Remote Quantitative Developer Intern jobs in Ohio look for? The top searched job categories for Remote Quantitative Developer Intern jobs in Ohio are:
What cities in Ohio are hiring for Remote Quantitative Developer Intern jobs? Cities in Ohio with the most Remote Quantitative Developer Intern job openings:
Data Analyst - GEOINT Technical SME

Other

Posted 7 days ago


SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

71st of 204 rated it services


Job description

The Data Analyst - GEOINT Technical SME applies their technical and analytical capabilities to support key
business and security objectives. This role involves collaborating with stakeholders to clarify requirements, develop and maintain analytical models, and transforming data into actionable insights. The contractor must be a proficient problem-solver, capable of working both independently and collaboratively to contribute to projects that enhance organizational efficiency and support insider threat mitigation programs.

Work will be performed at the customer site in Dayton, OH. 

The hiring of this position in contingent upon contract award. Anticipated award is fall of 2026.

Duties May Include:

  • Data Analysis and Visualization: Develop data analytics and visualizations by applying proven, industry-standard data science principles and techniques. Create and edit visual content, including charts, graphs, and dashboards, to transform quantitative and qualitative data sets into compelling and understandable visuals
  • Business Process Improvement: Collaborate with project requestors, stakeholders, and project managers to refine project requests and clarify business needs and objectives. Use data analytics to form business insights, identify issues, and recommend effective ways to boost organizational efficiency
  • Analytical Model Support: Integrate, develop, and maintain analytic models, visualizations, and tools designed to deter, detect, and mitigate insider threats. Support the sustainment of risk scoring tools and other data analysis implementations by identifying and helping to resolve system errors and failures
  • Stakeholder Collaboration: Work closely with subject matter experts to learn about specific products and processes. Support the preparation of reports and briefs on analyses and dashboard functionality for various internal teams
  • Data and Metrics Management: Capture, maintain, and accumulate statistics that show quantities and timelines for key processes, such as data transfers between domains, to support system integrity and performance monitoring
  • Policy and Communications Support: Assist in supporting Policy Business Operations, including policy development, review, and coordination. Contribute to the creation and revision of technical documents, reports, and communications products, ensuring they integrate a common message
SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Required Skills:

Education: A minimum of a Bachelor's Degree in Data Science, Statistics, Business, or a related field

Experience:

  • 6+ years Proven experience in integrating, developing, and maintaining analytic models, visualizations, and tools, preferably in a security or threat-detection context. Experience developing data analytics and visualizations using standard data science practices. In lieu of a degree, 10+ years of experience
  • Demonstrated ability to use data to form business insights, draw logical conclusions, and contribute to performance-improving strategies
  • Experience in collaborating with stakeholders to clarify project needs and business objectives
    Familiarity with the concepts of analytical model development and maintenance
  • Strong organizational and communication skills, with the ability to work effectively in a team-oriented environment
  • Proficiency in creating and editing visual content such as charts and graphs to represent data
  • At least 12 months demonstrated experience in one or more Geospatial Information Systems tools such as ArcView, ArcGIS, Remote View, ArcIMS, ERDAS Imagine, Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and FrameMaker
  • Demonstrated coding experience to support writing scripts with tools such as but not limited to Java and Python
  • Demonstrated ability to use Share Point, Tableau, Redmine, and other systems/databases to manipulate and build data visualization

Desired Skills:

  • Experience supporting insider threat, risk scoring, or similar security-focused analytics programs
  • Experience with policy development or process improvement initiatives
  • Familiarity with GEOINT analysis software or Customer-specific applications

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