Utilizing quantitative and qualitative risk assessment techniques to perform safety analysis in ... Prior internship, co-op, or research experience in a systems engineering or safety-related ...
Utilizing quantitative and qualitative risk assessment techniques to perform safety analysis in ... Prior internship, co-op, or research experience in a systems engineering or safety-related ...
Utilizing quantitative and qualitative risk assessment techniques to perform safety analysis in ... Prior internship, co-op, or research experience in a systems engineering or safety-related ...
Utilizing quantitative and qualitative risk assessment techniques to perform safety analysis in ... Prior internship, co-op, or research experience in a systems engineering or safety-related ...
Utilizing quantitative and qualitative risk assessment techniques to perform safety analysis in ... Prior internship, co-op, or research experience in a systems engineering or safety-related ...
Utilizing quantitative and qualitative risk assessment techniques to perform safety analysis in ... Prior internship, co-op, or research experience in a systems engineering or safety-related ...
Systems Safety Engineer
Middletown, RI · On-site
Utilizing quantitative and qualitative risk assessment techniques to perform safety analysis in ... Prior internship, co-op, or research experience in a systems engineering or safety-related ...
Systems Safety Engineer
Middletown, RI · On-site
Utilizing quantitative and qualitative risk assessment techniques to perform safety analysis in ... Prior internship, co-op, or research experience in a systems engineering or safety-related ...
Quant Developer Internship information
What is a Quant Developer Internship?
A Quant Developer Internship is a temporary position, usually for students or recent graduates, that offers hands-on experience in quantitative finance and software development. Interns work with quantitative analysts and developers to design, implement, and optimize financial models and trading algorithms. The role typically involves programming, data analysis, and collaborating with other teams to solve real-world financial problems. This internship is an excellent opportunity for those interested in combining finance, mathematics, and computer science in a professional setting.
What is the difference between Quant Developer Internship vs Quant Analyst Internship?
| Aspect | Quant Developer Internship | Quant Analyst Internship |
|---|---|---|
| Required Credentials | Typically pursuing or holding a degree in Computer Science, Mathematics, or related fields | Usually pursuing or holding a degree in Finance, Economics, or related fields |
| Work Environment | Hands-on coding, software development, and algorithm implementation | Data analysis, financial modeling, and strategy development |
| Employer & Industry Usage | Used in hedge funds, investment banks, and trading firms focusing on technology-driven roles | Common in asset management firms, hedge funds, and financial institutions focusing on market analysis |
While both internships involve finance and quantitative skills, Quant Developer Internships focus more on programming and software development, whereas Quant Analyst Internships emphasize financial analysis and modeling. Candidates should choose based on their strengths in coding versus financial analysis.
What are some common challenges faced during a Quant Developer Internship, and how can interns overcome them?
Quant Developer Interns often encounter challenges such as adapting to complex financial models, working with large datasets, and mastering specialized programming languages like Python or C++. To overcome these, interns should proactively seek guidance from senior team members, participate in regular code reviews, and allocate time to strengthen their understanding of both financial concepts and software development best practices. Collaboration and open communication within the team are crucial for navigating technical obstacles and successfully delivering project tasks.
What are the key skills and qualifications needed to thrive as a Quant Developer Intern, and why are they important?
To thrive as a Quant Developer Intern, you need a strong background in mathematics, statistics, and programming, typically demonstrated through a degree in quantitative fields like computer science, mathematics, or engineering. Familiarity with programming languages such as Python, C++, or Java, and experience using financial modeling tools or libraries are highly valued. Analytical thinking, attention to detail, and effective communication are critical soft skills for collaborating with teams and interpreting complex data. These skills and qualities are essential for developing robust quantitative models and contributing effectively to quantitative research and trading strategies.
What are the most commonly searched types of Quant Developer jobs in Rhode Island? The most popular types of Quant Developer jobs in Rhode Island are:
What are popular job titles related to Quant Developer Internship jobs in Rhode Island? For Quant Developer Internship jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Quant Developer Internship jobs in Rhode Island look for? The top searched job categories for Quant Developer Internship jobs in Rhode Island are:
What cities in Rhode Island are hiring for Quant Developer Internship jobs? Cities in Rhode Island with the most Quant Developer Internship job openings:
SAIC rating
7.8
Based on 78 frontline employees who took The Breakroom Quiz
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Job description
Job ID: 2612183
Location: Middletown, RI, US
Date Posted: 2026-05-05
Category: Engineering and Sciences
Subcategory: Sys Safety Engr
Schedule: Full-Time
Shift: Day Job
Travel: No
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: Secret
Potential for Remote Work: ORA_ON_SITE
Description
SAIC is seeking a Systems Safety Engineer at our office in Middletown, RI.
A successful candidate will work as part of a team analyzing a system to identify hazards, categorize risk, and recommend mitigations to reduce the risk of mishap occurrence. Candidates will collaborate with internal team, government personnel, and subcontractors.
Job Duties:
- Utilizing quantitative and qualitative risk assessment techniques to perform safety analysis in accordance with MIL-STD-882E and other guidance.
- Analysis of hardware, software, firmware, and system interfaces to identify hazards to personnel, equipment, and the environment, to include supplemental analysis techniques such as fault tree analyses, failure modes and hazardous effects analyses, and sneak circuit analyses.
- Review System Requirements documentation to identify potential hazardous conditions and make recommendations to system design in collaboration with program staff.
- Performing operational analyses and studies to identify potential deficiencies in operating procedures, handling procedures, stowage or other logistics phases.
- Reviewing and analyzing system safety management and program plans, safety analyses, accident and incident data, mishap investigation reports, safety test plans and results, and other ESOH related data.
- Preparing or updating risk assessment reports, safety assessment reports, and presentation materials for formal submission.
- Conducting or reviewing safety assessment of new, updated, and/or modified hardware and software, waivers, and exemption requests.
Qualifications
Qualifications:
- Bachelor of Science (or higher) degree in engineering or a technical-related field and/or two (2) or more years experience.
- Candidate must be a US Citizen and have the ability to obtain SECRET level clearance. SAIC will sponsor qualified candidates for a security clearance.
- Experience in the use and application of technical standards and system safety principles, theories, concepts and techniques.
- Experience conducting and/or reviewing safety assessment of hardware, software, waivers, and exception requests.
- Experience reviewing System Requirements documentation to identify potential hazardous conditions to make recommendations as needed.
Preferred Experience
Basic understanding of Model Based Systems Engineering (MBSE), particularly using Cameo Systems Modeler, or a willingness to learn; formal training and mentorship will be provided for the right candidate
Basic understanding of or exposure to Systems Engineering principles and practices, or a demonstrated willingness to develop that knowledge in a hands-on professional environment
Basic familiarity with MIL-STD-882E and the Joint Software System Safety Engineering Handbook (JSSSEH), or an eagerness to learn and apply these standards under the guidance of experienced safety professionals
Experience supporting Navy, Army, or Air Force acquisition programs
Prior internship, co-op, or research experience in a systems engineering or safety-related discipline is a plus
About Science Applications International
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