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

Teza Technologies

Data Engineer

Austin, TX

$113K - $136K/yr

Work directly with Portfolio Managers and Quantitative Developers to translate business ... Financial industry internships / experience are a plus. * Experience with Java recommended.

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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.
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Quant Developer Internship jobs near you
Data Engineer

Data Engineer

Teza Technologies

Austin, TX

$113K - $136K/yr

Full-time

Medical, Dental, Vision

Posted 11 days ago

Job description

About the role

Teza Technologies is looking for Data Engineers to join our data team. Data drives systematic trading and is critical to all aspects of the firm's business.

This is a hands-on position on a small team of data engineers with growth potential, as this team will grow rapidly over the next couple of years. The firm is looking for outstanding technical skills, strong attention to detail, and experience architecting and building data platforms.

Location
Austin, TX / London, UK (in-office requirement)

Responsibilities

  • Work directly with Portfolio Managers and Quantitative Developers to translate business requirements into technical solutions; be a resource to explain dataset details and nuances.

  • Expand our data warehouse by designing and adding new sources and functionality; improve robustness, speed and scalability of our systems; manage data entitlements

  • Provide innovative data management, analytics and technology input to the team and management.

  • Evaluate new tools and technologies suitable for organizing, querying and streaming large datasets.

  • Design and build automated systems for data cleansing, anomaly detection, monitoring and alerting.

  • Support our production data warehouse as required.

  • Develop and maintain strong vendor relationships aligned with our business objectives.

Basic Requirements

  • Proficiency in Python and Unix/Linux for data manipulation, scripting, and automation.

  • Strong SQL knowledge and familiarity with NoSQL databases (ideally Postgres and MongoDB), including query optimization and performance tuning.

  • Strong understanding of data modeling principles, including both normalization and denormalization techniques.

  • Familiarity with cloud platforms, e.g. AWS or GCP

  • Experience with Git version control, collaborative workflows (e.g., Github), and understanding of CI/CD best practices.

  • Bachelor’s degree in Computer Science, Information Technology or related field.


Nice to have Requirements

  • Financial industry internships / experience are a plus.

  • Experience with Java recommended.

  • Experience with on-premises data infrastructure (e.g., Hadoop)

  • Experience with Apache Airflow or similar workflow orchestration tools.

  • An understanding of best practices for data modeling, including data normalization techniques.

  • Master’s degree in Computer Science, Information Technology, Data Science or related field.


Benefits

  • Health, visual and dental insurance

  • Flexible sick time policy

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