Quantitative Finance Software Engineer Intern

Causeway Capital Management LLC; Dallas (TX); Hybrid; USD 28,000 - 55,000; Full time

Benefits offered by this job

Flexible work arrangements including限定

Moving/housing stipend

Job summary

Causeway Capital Management LLC in Dallas offers a Software Engineer Intern position for Summer 2027. You will work with Software and Data Engineers to design, implement, and maintain APIs, Python libraries, and backend databases that support the firm’s quantitative and fundamental investment platforms.

You will develop Python applications and AI tools, perform data analysis with SQL and Python, and help deploy cloud-based infrastructure to scale research.

Qualifications

• Final year of a relevant undergraduate or graduate degree with a strong GPA.
• Passion to grow a career in software engineering or quantitative development.
• Coursework in object-oriented design and relational modeling.
• Entry-to-Intermediate level programming skills in Python and SQL.
• Investments or Finance coursework or experience.
• Experience building software using generative AI tools.
• Strong communication skills and ability to work in a team environment.

Responsibilities

• Collaborate with fellow engineers to build Causeway's proprietary investment management applications and research platforms.
• Develop Python applications and AI tools that enhance the productivity of Quantitative Analysts.
• Conduct data analysis using SQL and Python.
• Delivery of quality code and data.

Skills

Python

SQL

Generative AI tools

Communication

Teamwork

Education

Relevant undergraduate or graduate degree in Software Engineering / Quant Finance / Applied Statistics

Job description

Causeway Capital Management LLC in Dallas offers a Software Engineer Intern position for Summer 2027. You will work with Software and Data Engineers to design, implement, and maintain APIs, Python libraries, and backend databases that support the firm’s quantitative and fundamental investment platforms.

You will develop Python applications and AI tools, perform data analysis with SQL and Python, and help deploy cloud-based infrastructure to scale research.