Interest in quantitative finance and applying performance data to real-world problems. Our ... You will also be eligible for Intern benefits. Applications for this job will be accepted at least ...
Interest in quantitative finance and applying performance data to real-world problems. Our ... You will also be eligible for Intern benefits. Applications for this job will be accepted at least ...
Early Careers: Actuarial Intern
Saint Louis, MO · On-site +1
Design and costing of new retirement programs, programming of innovative pension admin systems ... as quantitative comparison of comprehensive employee benefit programs for groups of employers.
New
Early Careers: Actuarial Intern
Saint Louis, MO · On-site +1
Design and costing of new retirement programs, programming of innovative pension admin systems ... as quantitative comparison of comprehensive employee benefit programs for groups of employers.
New
Enrolled in a Bachelors program majoring in Computer Engineering, Software Engineering, Computer ... Interest in quantitative finance and applying performance data to real-world problems. Our ...
Enrolled in a Bachelors program majoring in Computer Engineering, Software Engineering, Computer ... Interest in quantitative finance and applying performance data to real-world problems. Our ...
Quantitative Developer Intern information
What types of projects or tasks do Quantitative Developer Interns 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 in the Quantitative Developer Intern position, 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 is a Quantitative Developer Intern job?
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 cities near Waterloo, IL are hiring for Quantitative Developer Intern jobs? Cities near Waterloo, IL with the most Quantitative Developer Intern job openings:
Full-time
Posted 26 days ago
Nvidia rating
9.6
Based on 17 frontline employees who took The Breakroom Quiz
8th of 241 rated software companies
Job description
NVIDIA is a worldwide technology company headquartered in Santa Clara, California. NVIDIA manufactures graphics processing units (GPUs), as well as system on a chip units (SOCs) for the expanding markets. Our work in visual computing, the art and science of computer graphics, has led to thousands of patented inventions, breakthrough technologies, deep industry relationships and a globally recognized brand. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers inventions such as artificial intelligence and autonomous cars.
You would join the team responsible for the maintenance, development, and execution of Desktop Gaming Performance testing in Linux and Windows environments for the world's fastest, power efficient GPUs. This job has a preferred duration of 8-12 months.
What you'll be doing:
What we need to see:
Ways to stand out from the crowd:
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.
You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until July 10, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
You would join the team responsible for the maintenance, development, and execution of Desktop Gaming Performance testing in Linux and Windows environments for the world's fastest, power efficient GPUs. This job has a preferred duration of 8-12 months.
What you'll be doing:
- Writing and maintaining containerized GPU accelerated workloads for the financial services industry, from deep learning training and inference, to portfolio optimization and backtesting.
- Running, validating, and analyzing benchmarking models at scale on HPC clusters.
- Visualizing performance data, building charts and dashboards using internal schemas and tooling.
- Working closely with the latest and greatest in financial AI models and tooling to help build reference models for NVIDIA.
What we need to see:
- Enrolled in a Bachelors program majoring in Computer Engineering, Software Engineering, Computer Science, or related field.
- Desire to improve code quality by learning and applying computer science fundamentals, algorithms, and data structures.
- Comfort with teamwork, collaboration, and a desire to reach across functional borders to develop new partnerships.
- Active experience with Python.
- Working comfort in a Linux command-line environment with version control.
- Foundational understanding and interest of the machine learning lifecycle (training, evaluation, and inference).
Ways to stand out from the crowd:
- Familiarity with PyTorch and/or training, testing, and evaluating machine learning models.
- Experience with GPU computing or CUDA and libraries like cuOPT, CUTLASS, cuDNN, etc.
- Exposure to workload orchestration and job schedulers (Kubernetes, Slurm).
- Experience with containerized applications and resource management.
- Interest in quantitative finance and applying performance data to real-world problems.
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.
You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until July 10, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
About Nvidia
Sourced by ZipRecruiter
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US
Year founded
1993