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Quant Developer Intern Jobs in Dallas, TX (NOW HIRING)

Application Engineering Intern

Richardson, TX · On-site

$15 - $19.75/hr

... Engineering team. In this role, the intern will have the opportunity to learn and grow their ... quantitative skills while doing test program debugging and development. They will also work on ...

Application Engineering Intern

Richardson, TX · On-site

$15 - $19.75/hr

... Engineering team. In this role, the intern will have the opportunity to learn and grow their ... quantitative skills while doing test program debugging and development. They will also work on ...

Capital Markets Intern

Irving, TX · On-site

$15.50 - $20/hr

The intern will assist with data-driven assessments of large financial datasets to help identify ... Strong analytical and quantitative skills * Proficiency in Microsoft Excel; experience with large ...

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 ...

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 ...

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 ...

... Economics, Engineering, Analytics, or similar quantitative STEM field. Relevant professional work experience (paid, non-academic, non-intern) OR an advanced degree in one or more of the above ...

Bachelor's degree in a quantitative field such as Business, Economics, Math, Statistics, or Engineering. * Minimum of 2 years of professional experience in quantitative analysis, with a preference ...

... Engineering, Analytics, or similar quantitative STEM field. * Relevant professional work experience (paid, non-academic, non-intern) OR an advanced degree in one or more of the above disciplines.

... Engineering, Analytics, or similar quantitative STEM field. * Relevant professional work experience (paid, non-academic, non-intern) OR an advanced degree in one or more of the above disciplines.

Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain ... quantitative field. * Demonstrable experience building AI prototypes or agentic projects ...

Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain ... quantitative field. * Demonstrable experience building AI prototypes or agentic projects ...

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Quant Developer Intern information

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 solid background in mathematics, statistics, and programming, often supported by progress toward a degree in a quantitative field. Familiarity with programming languages such as Python, C++, or Java, and experience with tools like MATLAB or financial data APIs, are typically expected. Strong analytical thinking, problem-solving abilities, and effective communication skills help set candidates apart. These skills and qualities are essential for developing, testing, and communicating complex quantitative models that support investment and trading strategies.

What is the difference between Quant Developer Intern vs Quant Analyst Intern?

AspectQuant Developer InternQuant Analyst Intern
Required CredentialsTypically pursuing or holding a degree in Computer Science, Mathematics, or related fieldsUsually pursuing or holding a degree in Finance, Economics, or related fields
Work EnvironmentFocuses on coding, algorithm development, and software implementationFocuses on data analysis, financial modeling, and market research
Employer & Industry UsageCommon in hedge funds, trading firms, and financial technology companiesCommon in investment banks, asset management firms, and financial institutions

While both roles involve finance and data analysis, the Quant Developer Intern primarily works on coding and developing trading algorithms, whereas the Quant Analyst Intern focuses on analyzing financial data and creating models. The roles often overlap in skills but differ in daily tasks and focus areas.

What are Quant Developer Interns?

Quant Developer Interns are students or recent graduates who work with quantitative teams at financial institutions or hedge funds to support the development and implementation of mathematical models and software for trading, risk management, or financial analysis. They typically assist with coding, data analysis, and model validation using programming languages like Python, C++, or Java. Interns in this role gain hands-on experience in applying quantitative techniques to solve real-world finance problems, often working closely with quantitative analysts and developers. The position is ideal for those interested in quantitative finance, programming, and applying mathematical concepts to financial markets.

What types of projects and daily tasks can a Quant Developer Intern expect to work on?

As a Quant Developer Intern, you can expect to work on a variety of projects that involve developing, testing, and optimizing quantitative models used in financial trading or risk management. Daily tasks often include coding algorithms, analyzing large datasets, and collaborating with quantitative analysts and senior developers to implement research ideas. You may also be involved in troubleshooting issues, streamlining code, and contributing to team meetings to discuss project progress and technical challenges. This hands-on exposure helps build both your technical and financial industry knowledge while allowing you to contribute meaningfully to the team's goals.
What are the most commonly searched types of Quant Developer jobs in Dallas, TX? The most popular types of Quant Developer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Quant Developer Intern jobs? Cities near Dallas, TX with the most Quant Developer Intern job openings:

Application Engineering Intern

Advantest

Richardson, TX • On-site

$15 - $19.75/hr

Full-time

Posted 27 days ago


Job description

About the Role

We are looking for a motivated and technically curious intern to join our Application Engineering team. In this role, the intern will have the opportunity to learn and grow their analytical and quantitative skills while doing test program debugging and development. They will also work on generating templates that would allow AI integration for automated test program generation.

What You Will Do

  • Use large language models (LLMs) and AI coding assistants to rapidly prototype scripts, data pipelines, and analysis tools that support test program development.
  • Automate repetitive engineering tasks such as test data extraction, result parsing, yield analysis, and report generation using AI-augmented toolchains.
  • Collaborate with test, design, and product engineers to identify manual bottlenecks and implement intelligent automation solutions.
  • Build and maintain dashboards or internal tools that provide real-time visibility into test metrics, yield trends, and program health.
  • Evaluate and integrate emerging AI tools and APIs into existing engineering workflows to improve team productivity.
  • Document processes, automation recipes, and best practices to enable team-wide adoption.

Why This Role Matters

AI chips are pushing the boundaries of performance and complexity, and the engineering workflows that bring them to life must evolve just as fast. By embedding AI-driven automation directly into our test and validation pipeline, you will help reduce time-to-market, improve yield, and enable the team to focus on high-value engineering challenges instead of repetitive manual tasks. Your work will have a tangible impact on products that power the future of artificial intelligence.

What You Will Gain

  • Hands-on experience applying AI to real-world semiconductor engineering problems.
  • Deep exposure to the full silicon lifecycle - from design validation through high-volume manufacturing.
  • Mentorship from experienced test and product engineers at the forefront of AI chip development.
  • A portfolio of automation projects you can showcase to future employers.
  • The opportunity to shape how a world-class engineering team integrates AI into daily operations.