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New Grad Quant Jobs in California (NOW HIRING)

If you are currently pursuing your Bachelor's degree, please apply to our Campus/New Grad ... experience with quant research and/or ML/Deep Learning platforms. * Experience with python ...

New Grad Quant information

What is the difference between New Grad Quant vs Quant Analyst?

AspectNew Grad QuantQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; internships preferredAdvanced degree often preferred; experience in modeling and programming
Work EnvironmentEntry-level, training-focused, collaborative teamsMore independent, project-driven, client-facing
Employer & Industry UsageFinancial firms, hedge funds, banksSame 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, and why are they important?

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:
Infographic showing various New Grad Quant job openings in California as of July 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, 1% Temporary, and 1% Contract. Highlights an 76% Physical, and 24% Remote job distribution.
Senior Data Scientist, Core, Level 5

Senior Data Scientist, Core, Level 5

Snapchat

Los Angeles, CA โ€ข On-site

Full-time

Medical

Posted 20 days ago


Job description

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.
The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.
The Data Science and Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. We focus on efficient and effective analytic execution, positioning ourselves as the go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data.
We're looking for a Senior Data Scientist to join our Core Data Science team at Snap Inc.!
What you'll do:
  • Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
  • Drive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted'
  • Collaborate with product managers, engineers, product marketers, and designers
  • Think creatively, proactively, and futuristically to identify and size up new opportunities within Snap's long term roadmap for data-scientific contributions
  • Conduct machine learning or statistical analyses, and build pragmatic, scalable, and statistically rigorous solutions to deliver actionable insights, accurate predictions, and effective optimizations
  • Communicate best practices in quantitative analysis and develop cross-functional partnerships
  • Utilize AI tools to more efficiently develop scalable data solutions, while maintaining rigorous standards for accuracy and statistical integrity

Knowledge, Skills and Abilities:
  • Expertise using data modeling skills to identify key product trends and new product opportunities
  • Ability to design implement, and track core metrics to analyze the performance of our products
  • Ability to create visuals, dashboards, and reports to effectively communicate your insights
  • Experience collaborating with engineers, product managers, and other cross-functional teams
  • Ability to initiate and drive projects to completion with minimal guidance
  • An understanding of Snapchat with great product sense and product understanding
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
  • Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of data-driven decision-making, insights generation, and industry best practices

Minimum Qualifications:
  • Bachelor's Degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering or related field or equivalent years of practical work experience
  • 5+ years of post-Bachelor's quantitative analysis and data science experience ; or a Master's degree in a technical field + 4+ years of post-grad quantitative analysis and data science experience; or a PhD in a related technical field + 1+ years of post-grad quantitative analysis and data science experience

Preferred Qualifications:
  • 5+ years of experience using SQL or similar big data querying languages
  • 5+ years of experience with programming language, such as Python or R
  • 5+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniques
  • Advanced degree in applied mathematics, statistics, actuarial science, economics or related field
  • Experience in a product-focused role at a social media, online advertising, digital media and/or mobile technology company
  • Experience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research.

If you have a disability or special need that requires accommodation, please don't be shy and provide us some information.
"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).
Our Benefits: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!
Compensation
In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position.These pay zones may be modified in the future.
Zone A (CA, WA, NYC):
The base salary range for this position is $190,000-$284,000 annually.
Zone B:
The base salary range for this position is $181,000-$270,000 annually.
Zone C:
The base salary range for this position is $162,000-$241,000 annually.
This position is eligible for equity in the form of RSUs.