Background in capital markets with exposure to systematic/algorithmic strategies or quantitative trading. * Experience parallelizing and optimizing machine learning methods such as decision trees ...
Background in capital markets with exposure to systematic/algorithmic strategies or quantitative trading. * Experience parallelizing and optimizing machine learning methods such as decision trees ...
Background in capital markets with exposure to systematic/algorithmic strategies or quantitative trading. * Experience parallelizing and optimizing machine learning methods such as decision trees ...
Background in capital markets with exposure to systematic/algorithmic strategies or quantitative trading. * Experience parallelizing and optimizing machine learning methods such as decision trees ...
New Grad Quant information
What is the difference between New Grad Quant vs Quant Analyst?
| Aspect | New Grad Quant | Quant Analyst |
|---|---|---|
| Required Credentials | Degree in Math, Finance, or Computer Science; internships preferred | Advanced degree often preferred; experience in modeling and programming |
| Work Environment | Entry-level, training-focused, collaborative teams | More independent, project-driven, client-facing |
| Employer & Industry Usage | Financial firms, hedge funds, banks | Same as New Grad Quant, with increased responsibilities |
The main difference between a New Grad Quant and a Quant Analyst lies in experience and responsibility. New Grad Quants are entry-level, focusing on learning and supporting teams, while Quant Analysts have more experience, handling complex models and client interactions. Both roles require strong quantitative skills, but the Quant Analyst role typically demands a deeper understanding and proven track record.
What are some typical challenges new graduate quants face when transitioning from academia to a professional finance environment?
New graduate quants often encounter challenges such as adapting to the fast-paced nature of financial markets, learning to apply theoretical knowledge to real-time problems, and navigating large codebases or proprietary platforms. Collaboration is key, as quants frequently work in cross-functional teams with traders, developers, and risk managers, requiring strong communication skills. Additionally, new grads must prioritize continuous learning to keep up with evolving models and technologies, while managing deadlines and performance expectations.
What is a new grad quant?
A New Grad Quant, short for 'Quantitative Analyst,' is an entry-level position for recent graduates in finance, mathematics, computer science, or related fields. These professionals use mathematical models, statistical techniques, and programming skills to analyze financial data and develop trading strategies. New Grad Quants typically work at investment banks, hedge funds, or financial technology firms, where they support senior quants in research, risk management, and portfolio optimization. The role often involves a steep learning curve and requires strong analytical thinking and problem-solving abilities.
What are the key skills and qualifications needed to thrive as a new grad quant?
To thrive as a New Grad Quant, you need a strong background in mathematics, statistics, and programming, typically supported by a degree in quantitative fields such as mathematics, physics, engineering, or computer science. Proficiency with tools like Python, R, MATLAB, and familiarity with data analysis libraries or financial modeling systems is expected. Analytical thinking, attention to detail, and effective communication are crucial soft skills for collaborating with teams and interpreting complex data. These competencies enable new quants to develop robust models, contribute valuable insights, and adapt quickly in the fast-paced finance industry.
What are popular job titles related to New Grad Quant jobs in California? For New Grad Quant jobs in California, the most frequently searched job titles are:
What job categories do people searching New Grad Quant jobs in California look for? The top searched job categories for New Grad Quant jobs in California are:
What cities in California are hiring for New Grad Quant jobs? Cities in California with the most New Grad Quant job openings:
Full-time
Re-posted 28 days ago
Nvidia rating
9.6
Based on 17 frontline employees who took The Breakroom Quiz
8th of 242 rated software companies
Job description
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!
We're looking for an AI Developer Technology Engineer to push the limits of performance at the intersection of AI, high-performance computing, and financial markets. In this role, you'll dive deep into parallel algorithms, GPUs, and complex systems to identify and eliminate bottlenecks, unlocking the full power of the world's most advanced processing hardware. You'll collaborate with top experts across industry and academia, influence next-generation platforms, and share your insights with the global developer community. Would you enjoy solving hard technical problems, love performance tuning, and want your work to have a visible impact across an entire industry? If so, we would love to invite you to consider this role!
What you will be doing:
Researching, designing, and developing groundbreaking techniques to accelerate high-performance workloads for FSI-focused, pioneering AI on NVIDIA CPUs and GPUs.
Working with leading technical experts to analyze, optimize, and scale complex AI and HPC workloads for modern CPU and GPU architectures.
Profiling and eliminating performance bottlenecks across the stack: from algorithms to kernels to system-level behavior.
Publishing and presenting your work in conferences, talks, and blogs to educate and inspire the broader developer community.
Influencing the design of future hardware architectures, system software, libraries, and programming models by collaborating closely with NVIDIA research, hardware, compiler, and tools teams.
What we need to see:
Pursuing or recently completed a Master's or PhD degree (or equivalent experience) in Computer Science, Computer Engineering, or Electrical and Computer Engineering or related field.
Relevant work or research experience.
Experience with low-level parallel programming (e.g., CUDA).
Deep understanding of CPU/GPU architecture fundamentals and how they impact performance.
Fluency in C/C++ and solid foundations in algorithms and software design.
Experience improving the performance of large-scale computational applications on GPUs.
Good understanding of linear algebra.
Strong communication and organization skills, with a logical approach to problem solving and solid prioritization abilities.
Ways to stand out from the crowd:
Prior internship experience in a related field.
Experience with inference optimization techniques and deploying optimized AI models in production.
Experience with TensorRT, TensorRT-LLM, and cuTile.
Background in capital markets with exposure to systematic/algorithmic strategies or quantitative trading.
Experience parallelizing and optimizing machine learning methods such as decision trees, time series models, and Monte Carlo simulations as well as knowledge of financial data models, pricing and risk simulation algorithms, portfolio optimization, or other finance-focused applications and services.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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