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Quant Developer Internship Jobs in Austin, TX (NOW HIRING)

Civil Field Engineer Intern

Austin, TX · On-site

$17 - $22.25/hr

Civil Field Engineer Intern Location: TX (exact location depends on assigned project) Employment ... Conduct field verification of quantities installed for Quantitative Performance Report (QPR)

Collaborate with hardware and software engineering teams to translate algorithmic requirements into ... internship experiences and or schoolwork/classes/research. Minimum Qualifications: - PhD (or ...

You will lead a robust consumer insights program (qualitative and quantitative) to uncover customer ... Partner closely with Product, Design, Engineering, Marketing, and Operations to translate consumer ...

You will lead a robust consumer insights program (qualitative and quantitative) to uncover customer ... Partner closely with Product, Design, Engineering, Marketing, and Operations to translate consumer ...

You will lead a robust consumer insights program (qualitative and quantitative) to uncover customer ... Partner closely with Product, Design, Engineering, Marketing, and Operations to translate consumer ...

You will lead a robust consumer insights program (qualitative and quantitative) to uncover customer ... Partner closely with Product, Design, Engineering, Marketing, and Operations to translate consumer ...

Sr. Product Growth Manager (Starlink)

Bastrop, TX · On-site

$125K - $166K/yr

You will lead a robust consumer insights program (qualitative and quantitative) to uncover customer ... Partner closely with Product, Design, Engineering, Marketing, and Operations to translate consumer ...

You will lead a robust consumer insights program (qualitative and quantitative) to uncover customer ... Partner closely with Product, Design, Engineering, Marketing, and Operations to translate consumer ...

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?

AspectQuant Developer InternshipQuant Analyst Internship
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 EnvironmentHands-on coding, software development, and algorithm implementationData analysis, financial modeling, and strategy development
Employer & Industry UsageUsed in hedge funds, investment banks, and trading firms focusing on technology-driven rolesCommon 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 cities near Austin, TX are hiring for Quant Developer Internship jobs? Cities near Austin, TX with the most Quant Developer Internship job openings:
Infographic showing various Quant Developer Internship job openings in Austin, TX as of June 2026, with employment types broken down into 11% Internship, and 89% Full Time. Highlights an 89% In-person, and 11% Remote job distribution.

$113K - $136K/yr

Full-time

Posted 25 days ago


Job description

We're looking for a Data Engineer to help build and maintain the data pipelines that power our investment, research, and analytics teams. You'll work closely with data scientists, quants, and investors to onboard new datasets, ensure data quality, and maintain the reliability of the data that drives decision-making across the firm.
What You'll Do
• Build, maintain, and troubleshoot ETL pipelines (Airflow, Dagster, or similar).
• Ingest and deeply understand new datasets - their structure, quirks, and business meaning.
• Maintain high-quality, well-documented datasets used across the organization.
• Partner with non-engineering stakeholders to understand data needs and guide them to the right sources.
• Evaluate data vendors and ensure we use the best data for each use case.
What We're Looking For
• Strong Python and SQL skills.
• Experience building data pipelines; familiarity with Spark or Pandas a plus.
• Strong attention to detail and persistence in debugging data issues.
• Clear communication skills, especially with non-technical audiences.
• 1-3 years of experience (or strong internships); senior candidates also welcome.
Who Thrives Here
• Curious, detail-oriented engineers who like diving deep into complex datasets.
• People who enjoy owning problems end-to-end and defining their own requirements.
• Engineers who build reliable, maintainable systems and prefer fast, iterative execution.
Why Join
• High-impact role: the data you manage powers investment decisions across the firm.
• Broad exposure to many types of financial and alternative data.
• Opportunity to shape a growing data function and work with teams across the entire company.
Qualifications
• Strong Python and SQL skills.
• Experience building data pipelines; familiarity with Spark or Pandas a plus.
• Strong attention to detail and persistence in debugging data issues.
• Clear communication skills, especially with non-technical audiences.
• 1-3 years of experience (or strong internships); senior candidates also welcome.
Why is This a Great Opportunity
You are building data infrastructure that directly drives investment decisions. The pipelines you own power research, analytics, and live decision making across the firm. This is not abstract data work. It affects capital allocation.
You work directly with quants, data scientists, and investors. You are not buried behind layers of product or management. You see how data is used, where it breaks, and how to make it better. That feedback loop is fast and real.
You get broad exposure to high value datasets. Market data, alternative data, vendor feeds, internal research outputs. You learn how data actually behaves in production, not how it looks in a demo.