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Internship Quantitative Developer Jobs in Dallas, TX

We are looking for passionate Software Engineering Interns with a strong interest in Artificial ... or a highly quantitative field. * AI & LLM Foundational Knowledge: * Hands-on experience or ...

We are looking for passionate Software Engineering Interns with a strong interest in Artificial ... quantitative field. AI & LLM Foundational Knowledge: Hands-on experience or academic projects ...

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position ... Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain ...

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position ... Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain ...

Data Scientist- Associate

Dallas, TX · On-site

$58K - $58K/yr

... internship/academic projects in data science, machine learning, or software engineering * Master ... related quantitative discipline is preferred. Minimum of a Bachelor's degree is required.

Spatial Data related database design, scripting/GIS programming and leadership skills are preferred ... Requires basic to intermediate analytical and quantitative skills. * Demonstrates the ability to ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ... data science, quantitative marketing, operations research, industrial engineering, etc.

... engineering excellence, ensuring high-quality, well structured and tested code. - Submit and ... internships, work experience, research projects, and papers at top conferences. - Strong ...

Showing results 21-40

Internship Quantitative Developer information

What is the difference between Internship Quantitative Developer vs Quantitative Analyst?

AspectInternship Quantitative DeveloperQuantitative Analyst
Required CredentialsUndergraduate or graduate degree in finance, math, or computer science; programming skillsDegree in finance, economics, or related field; strong analytical skills
Work EnvironmentInternship setting within financial firms, focusing on coding and model developmentFull-time role analyzing data, developing models, and providing trading insights
Employer & Industry UsageUsed by hedge funds, investment banks, and asset managers during internship programsCommon in investment firms, banks, and hedge funds for ongoing analysis

Internship Quantitative Developers typically focus on coding and developing trading algorithms during their internship, while Quantitative Analysts analyze data and develop models in a full-time capacity. Both roles require strong quantitative skills, but the internship is a temporary entry point, whereas the analyst role is a permanent position.

What does an internship quantitative developer do?

An Internship Quantitative Developer assists in designing and implementing quantitative models and tools used in financial analysis, trading, or risk management. They work closely with quantitative analysts and software engineers to develop algorithms, analyze data, and optimize trading strategies. The role typically involves programming, data analysis, and collaborating on research projects, providing valuable hands-on experience in quantitative finance.

What are the key skills and qualifications needed to thrive as an internship quantitative developer, and why are they important?

To thrive as an Internship Quantitative Developer, you need a solid background in mathematics, statistics, and programming—typically supported by progress toward a degree in quantitative fields like computer science, engineering, or finance. Familiarity with technical tools such as Python, C++, MATLAB, and version control systems, as well as experience with financial data platforms, is highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with teams and interpret complex data. These competencies are crucial for developing robust quantitative models and contributing meaningfully to financial technology projects in a fast-paced environment.

What kinds of projects and tasks can an internship quantitative developer expect to work on during their internship?

As an Internship Quantitative Developer, you can expect to work on a variety of projects such as developing and optimizing trading algorithms, analyzing large financial data sets, and creating back-testing frameworks to evaluate model performance. You may also assist in implementing code for pricing, risk management, or automated trading strategies under the guidance of senior quants and developers. Collaboration is common, as you’ll often work closely with quantitative analysts, traders, and software engineers to understand requirements, troubleshoot issues, and refine solutions. This hands-on exposure provides valuable learning opportunities and can be a stepping stone toward a full-time quantitative or developer role.
What cities near Dallas, TX are hiring for Internship Quantitative Developer jobs? Cities near Dallas, TX with the most Internship Quantitative Developer job openings:
Infographic showing various Internship Quantitative Developer job openings in Dallas, TX as of July 2026, with employment types broken down into 82% Full Time, 5% Part Time, and 13% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Software Engineering Intern

Copart, Inc.

Dallas, TX • On-site

Full-time

Re-posted 25 days ago


Copart rating

6.8

Company rating: 6.8 out of 10

Based on 108 frontline employees who took The Breakroom Quiz

11th of 18 rated auctioneers


Job description

Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with over 200 facilities located across the world, Copart links vehicle sellers to more than 750,000 buyers in over 190 countries. We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology.
We are looking for passionate Software Engineering Interns with a strong interest in Artificial Intelligence to work on the development of our next-generation, AI-driven applications for our global expansion. In this role, you will work closely with Product Managers, AI Architects, and Tech Leads to understand requirements, integrate advanced AI capabilities, and build/modify scalable full-stack applications.
Core Duties & Responsibilities:
  • AI Integration & Development: Design and implement features powered by Large Language Models (LLMs), Generative AI, and Machine Learning APIs into our core web applications.
  • Full-Stack Engineering: Develop efficient, secure, and real-time applications, peer-review code, and document solutions within an agile-blended software environment.
  • AI Agent & Workflow Orchestration: Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows.
  • Collaboration: Communicate proactively with teammates, AI research, infrastructure, security, and QA teams to continuously improve processes and engineering excellence.
  • Concurrency & Scalability: Write highly concurrent, multi-threaded Java backend services capable of handling real-time AI inference and data streaming.

Required Skills:
  • Education: Bachelor's degree or higher (or currently pursuing) in Computer Science, Artificial Intelligence, Engineering, or a highly quantitative field.
  • AI & LLM Foundational Knowledge:
  • Hands-on experience or academic projects working with LLM APIs (OpenAI, Anthropic, Ollama, Hugging Face).
  • Familiarity with RAG (Retrieval-Augmented Generation) architectures and prompt engineering.
  • Understanding of vector databases (e.g., Pinecone, Milvus, Chroma, or pgvector).

Backend & Concurrency (Java/Spring):
  • Strong experience with Spring Boot, Spring WebFlux (for reactive/streaming APIs), and MVC.
  • Solid understanding of Core Java, multithreaded programming, and asynchronous task execution (essential for managing AI model call latency).
  • Experience writing Unit tests using JUnit and mocking frameworks.

Frontend (React/Modern JS):
  • Experience with JavaScript/TypeScript, HTML5, CSS, and modern client-side frameworks (preferably ReactJS or Next.js for building AI chat interfaces and dashboards).
  • Ability to work on real-time web applications (WebSockets, Server-Sent Events for streaming AI responses).

Soft Skills & Mindset:
  • Excellent problem-solving skills and a strong mathematical/logical foundation.
  • Innovative drive and a passion for quick mastery of emerging AI technologies, frameworks, and tools.
  • Self-motivated, naturally curious, and able to thrive in a fast-paced, client-focused environment.
  • Skilled in technical writing, including documenting AI system architectures and data flows.

Additional Skills (Nice to Haves):
  • AI Frameworks: Experience with AI orchestration frameworks like LangChain, LlamaIndex, or Spring AI.
  • Python: Familiarity with Python (the primary language for data science/AI scripting) in addition to Java.
  • Data & Databases:
  • Experience writing SQL and stored procedures.
  • Familiarity with relational databases (MySQL, PostgreSQL) and NoSQL databases.

DevOps & Deployment:
  • Experience with Git, Maven, and CI/CD tools (Jenkins, GitHub Actions).
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and Docker containers for deploying AI models/services.
  • Basic knowledge of Unix/Linux e

#L1-MS1
At Copart, we are focused on harnessing the power of diversity, inclusion, and collaboration. By embracing diverse perspectives, we open doors to innovation and unleash the full potential of our team. We are dedicated to fostering a workplace where everyone feels appreciated, included, and inspired to grow and contribute meaningfully.
E-Verify Program Participant: Copart participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
  • E-verify Participation
  • Right to Work

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