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Quantitative Analytics Intern Jobs (NOW HIRING)

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position ... quantitative field. * Demonstrable experience building AI prototypes or agentic projects ...

Trinity Industries

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position ... quantitative field. * Demonstrable experience building AI prototypes or agentic projects ...

Optiver

Quantitative Intern (Summer 2027)

Chicago, IL · On-site

As a Quantitative Intern at Optiver, you'll work alongside traders, researchers, and engineers to ... Analyze complex datasets, investigate market behavior, and uncover insights that inform decision ...

Optiver

Quantitative Intern (Summer 2027)

Austin, TX · On-site

As a Quantitative Intern at Optiver, you'll work alongside traders, researchers, and engineers to ... Analyze complex datasets, investigate market behavior, and uncover insights that inform decision ...

Optiver

Quantitative Intern (Summer 2027)

Austin, TX

As a Quantitative Intern at Optiver, you'll work alongside traders, researchers, and engineers to ... Analyze complex datasets, investigate market behavior, and uncover insights that inform decision ...

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

A proprietary trading firm based in Miami is seeking a highly motivated Quantitative Trading Intern ... In this role, you will apply analytical thinking and market intuition to pricing, execution, and ...

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

A proprietary trading firm based in Miami is seeking a highly motivated Quantitative Trading Intern ... In this role, you will apply analytical thinking and market intuition to pricing, execution, and ...

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

A proprietary trading firm based in Miami is seeking a highly motivated Quantitative Trading Intern ... In this role, you will apply analytical thinking and market intuition to pricing, execution, and ...

Optiver

Quantitative Intern (Summer 2027)

Chicago, IL · On-site

$70K - $88K/yr

As a Quantitative Intern at Optiver, you'll work alongside traders, researchers, and engineers to ... Analyze complex datasets, investigate market behavior, and uncover insights that inform decision ...

Citadel

$4.5K - $5.8K/wk

Quantitative Researcher Analysts play a key role in this mission by developing next-generation ... As an intern, you'll dive into research through an 11-week program that will allow you to ...

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Quantitative Analytics Intern information

What does a quantitative analytics intern do?

A Quantitative Analytics Intern typically supports teams by analyzing large data sets, building statistical models, and developing algorithms to solve business problems. Their work often involves using programming languages like Python or R, and tools such as Excel or SQL, to gather insights from data. Interns may assist in financial modeling, risk assessment, or market research, depending on the industry. This role provides hands-on experience in applying quantitative methods to real-world problems, preparing students for future careers in finance, technology, or data science.

What types of projects or tasks can a quantitative analytics intern expect to work on during their internship?

As a Quantitative Analytics Intern, you can expect to work on a variety of data-driven projects, such as building statistical models, analyzing financial or operational datasets, and assisting in the development of forecasting tools. Interns often collaborate with experienced quantitative analysts and data scientists, contributing to real-world problem-solving for business or investment strategies. The role typically involves coding, data cleaning, and presenting findings to team members, offering a comprehensive introduction to quantitative methods in a professional setting.

What are the key skills and qualifications needed to thrive as a quantitative analytics intern, and why are they important?

To excel as a Quantitative Analytics Intern, you need strong analytical and mathematical skills, familiarity with statistical concepts, and coursework or a degree in quantitative fields such as mathematics, finance, or engineering. Proficiency with tools like Python, R, SQL, and data visualization software, as well as experience with statistical modeling or machine learning libraries, is highly valued. Effective communication, problem-solving abilities, and attention to detail set outstanding interns apart in collaborative and fast-paced environments. These skills are vital for accurately analyzing complex data, presenting insights, and supporting data-driven decision-making within organizations.

What cities are hiring for Quantitative Analytics Intern jobs?

Cities with the most Quantitative Analytics Intern job openings:

What states have the most Quantitative Analytics Intern jobs?

States with the most job openings for Quantitative Analytics Intern jobs include:

Quantitative Analytics Intern jobs near you

Data Analytics Intern

TrinityRail

Dallas, TX • On-site

Part-time

Re-posted 18 days ago

TrinityRail rating

6.3

Company rating: 6.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

139th of 175 rated vehicle equipment hire

Job description

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX. This position will focus on building, deploying, and scaling agentic AI applications and automated workflows across the enterprise. You will contribute to producing AI-first solutions using large language models, agent frameworks, and AI-assisted coding to deliver deployable apps, agents, automated workflows, and AI orchestration.
This role will provide valuable experience working with state-of-the-art enterprise platforms (Databricks and Palantir Foundry) and AI tools (pro licenses for Codex and Claude Code). The role offers hands-on mentorship from senior analytics professionals, exposure to production data and governance practices, and high visibility to business owners giving you real ownership of high-impact projects.
What You'll Do:
  • Design, prototype, and deliver agentic systems that plan and execute multi-step business tasks.
  • Build automated workflows and connectors that integrate internal systems and APIs.
  • Implement LLM-based agents (prompting, tool-calling, memory, monitoring) and harden prototypes for handoff.
  • Produce code and deployable artifacts using AI-assisted generation.
  • Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain in-dept knowledge of business problems and likely solutions.
  • Demo results and deliver concise handoff docs, runbooks, and impact metrics.

Qualifications
What You'll Have:
  • Master's or PhD candidate or recent graduate in Data Science, Machine Learning, Computer Science, Applied Math, Statistics, Operations Research, or similar quantitative field.
  • Demonstrable experience building AI prototypes or agentic projects (coursework, research, personal projects, or employment).
  • Generate, test, and iterate code (examples: Python, JavaScript, YAML) using an IDE (VS Code, JetBrains, etc.) with AI-assisted coding (GitHub Copilot, OpenAI Codex,
  • Claude Code, Cursor, or similar). Manual coding fluency is helpful but not mandatory.
  • Familiarity with SQL and cloud data platforms (Databricks, Azure, AWS, or equivalent).
  • Strong problem solving and communication skills; ability to present technical work to nontechnical stakeholders.
Preferred / Nice-to-Have
  • Practical experience with model deployment and monitoring basics (packaging/deploying prototypes, logging/observability, basic cost and drift checks).
  • Experience building or working with data/workflow pipelines or orchestration tools or familiarity with the concepts of scheduling and task orchestration.
  • Experience working with unstructured text and retrieval approaches (RAG or index + LLM patterns) for document/question answering.
  • Comfortable integrating services via REST APIs and using secure authentication patterns.

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Hours and flexibility

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