1

Quantitative Developer Intern Jobs in Tacoma, WA

Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl * Strong analytical and quantitative skills * Demonstrated interest in financial markets and systematic trading * Clear ...

Intern Program - Engineering Pathways

Seattle, WA · Hybrid

$19 - $24.75/hr

Our intern program would suit candidates with interest across engineering -- from the hardware ... quantitative field. Some opportunities may require a specific degree level, area of study or ...

New

... using quantitative approaches * Experience building large-scale machine learning systems and ... Demonstrated software engineer experience via an internship, work experience, coding competitions ...

... queries and quantitative research. • Will perform other duties as assigned. Education and ... and/or engineering required. • Proficiency in programming with either R, Python, or Julia ...

next page

Showing results 1-20

Quantitative Developer Intern information

What is a quantitative developer intern?

A Quantitative Developer Intern works at the intersection of finance, mathematics, and software development. They assist in building, optimizing, and maintaining quantitative models and trading systems. Their responsibilities typically include writing efficient code, working with large datasets, and collaborating with quantitative researchers and traders. The role requires strong programming skills (often in Python, C++, or Java) and a solid understanding of algorithms, data structures, and financial concepts. Interns gain hands-on experience in financial technology and quantitative finance, preparing them for full-time quant developer roles.

What types of projects or tasks does a quantitative developer intern typically work on during their internship?

Quantitative Developer Interns often work on developing and optimizing algorithms for data analysis, back-testing trading strategies, or building tools for financial model implementation. You may collaborate with quantitative analysts and senior developers to gather requirements, write and debug code, and assist with the integration of new models into production systems. Projects frequently involve handling large datasets, automating data pipelines, and conducting performance testing of code. These experiences allow interns to gain hands-on exposure to real-world financial technology challenges while contributing meaningfully to team goals.

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

To thrive as a Quantitative Developer Intern, you need strong programming skills (particularly in Python, C++, or Java), a solid background in mathematics or statistics, and enrollment in or completion of a relevant degree such as computer science, mathematics, or engineering. Familiarity with data analysis libraries (e.g., NumPy, pandas), version control systems (like Git), and basic experience with financial modeling or quantitative tools is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication skills help interns collaborate across teams and convey complex ideas clearly. These competencies enable quick adaptation to the fast-paced environment, accurate implementation of quantitative models, and effective teamwork in supporting financial decision-making.

What job categories do people searching Quantitative Developer Intern jobs in Tacoma, WA look for?

The top searched job categories for Quantitative Developer Intern jobs in Tacoma, WA are:

What cities near Tacoma, WA are hiring for Quantitative Developer Intern jobs?

Cities near Tacoma, WA with the most Quantitative Developer Intern job openings:

Infographic showing various Quantitative Developer Intern job openings in Tacoma, WA as of August 2026, with employment types broken down into 82% Full Time, 6% Part Time, and 12% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Quantitative Research Intern

Point72

Seattle, WA • On-site

Internship

Re-posted 2 hours ago


Job description

 
JOB DESCRIPTION 

This is an opportunity for students and researchers of advanced data modeling and statistical learning methods to apply these techniques to market prediction and systematic trading.

JOB RESPONSIBILITIES
  • Pre-process (validate, clean, normalize, reduce dimension) very large data sets for model estimation and event studies
  • Identify features and relationships useful for the predictive modeling of market dynamics
 
DESIRABLE CANDIDATES
  • MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
  • Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
  • Strong analytical and quantitative skills
  • Demonstrated interest in financial markets and systematic trading
  • Clear, concise, and proactive communicator
  • Detail-oriented
  • Willing to take ownership of his/her work, working both independently and within a small team