1

Phd Quant Jobs in Riverside, CA (NOW HIRING)

Principal Applied Scientist

Irvine, CA ยท On-site

$220K - $260K/yr

Masters + At least two peer-reviewed publications in deep learning, NLP, or a related AI domain or a PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field. * Deep ...

Staff Applied Scientist

Irvine, CA ยท On-site

$180K - $220K/yr

Masters + At least two peer-reviewed publications in deep learning, NLP, or a related AI domain or a PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field. * Deep ...

Introduction Courses, Theory Courses, Social Science Methods (Qualitative and Quantitative), and a ... MSW, LCSW, DSW, PhD in Social Work to teach social work courses. * Prior teaching experience at the ...

Introduction Courses, Theory Courses, Social Science Methods (Qualitative and Quantitative), and a ... MSW, LCSW, DSW, PhD in Social Work to teach social work courses. * Prior teaching experience at the ...

next page

Showing results 1-20

Phd Quant information

See Riverside, CA salary details

$102.2K

$177.1K

$270.7K

How much do phd quant jobs pay per year?

As of Jul 14, 2026, the average yearly pay for phd quant in Riverside, CA is $177,072.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,300.00 and $207,600.00 per year, depending on experience, location, and employer.

Is a PhD necessary for quant?

A PhD is not strictly required to become a quant, but many quantitative analysts hold advanced degrees such as a PhD in fields like mathematics, physics, or finance. Having a PhD can provide a competitive edge, especially for roles involving complex modeling, research, or algorithm development, but relevant skills and experience are also highly valued.

What is a PhD Quant?

A PhD Quant, short for Quantitative Analyst with a PhD, is a professional who uses advanced mathematical, statistical, and computational techniques to analyze financial markets and develop complex models for trading, risk management, or investment strategies. They typically work in banks, hedge funds, or financial technology firms. PhD Quants leverage their deep expertise in fields like mathematics, physics, computer science, or engineering to solve challenging problems and gain insights that drive financial decision-making. Their work often involves programming, data analysis, and the implementation of quantitative models.

What are the typical collaboration dynamics for a PhD Quant within a financial institution?

PhD Quants frequently work in close collaboration with traders, risk managers, and software engineers to develop and implement quantitative models for pricing, risk assessment, and trading strategies. While a significant portion of the work involves independent research and model development, regular meetings and cross-functional teamwork are essential to ensure models align with business objectives and regulatory requirements. Effective communication skills are important, as PhD Quants often need to explain complex mathematical concepts to colleagues with varying technical backgrounds.

Does JP Morgan hire quants?

Yes, JP Morgan hires quantitative analysts, often called quants, for roles in risk management, trading, and financial modeling. These positions typically require strong skills in mathematics, programming, and data analysis, and often involve using tools like Python, C++, or MATLAB.

What are the key skills and qualifications needed to thrive as a PhD Quant, and why are they important?

To thrive as a PhD Quant, you need a strong background in mathematics, statistics, and programming, typically supported by a PhD in a quantitative field such as mathematics, physics, finance, or engineering. Expertise in technical tools such as Python, C++, R, and experience with statistical modeling systems and quantitative finance libraries is expected. Analytical thinking, problem-solving abilities, and effective communication are standout soft skills in this role. These skills and qualities are crucial for developing complex models, interpreting data accurately, and collaborating across multidisciplinary teams in high-stakes financial environments.

Do quant firms hire PhDs?

Quant firms frequently hire PhDs, especially in fields like mathematics, physics, computer science, and engineering, to develop and implement quantitative trading strategies. These roles often require strong analytical skills, programming expertise in languages such as Python or C++, and a solid understanding of financial markets. PhDs are valued for their research experience and ability to handle complex data analysis.

How much do PhD quants make?

PhD quants typically earn between $150,000 and $300,000 annually, with compensation increasing based on experience, location, and the complexity of models used. Many also receive bonuses and profit-sharing, especially in hedge funds and investment banks. Advanced quantitative skills in programming and statistical analysis are highly valued in this field.

What is the difference between Phd Quant vs Quant Analyst?

AspectPhd QuantQuant Analyst
Required CredentialsPhD in Mathematics, Statistics, or related fieldBachelor's or Master's degree, often with quantitative skills
Work EnvironmentResearch-focused, often in finance or hedge fundsTrading floors, financial institutions, or asset management firms
Industry UsagePrimarily in hedge funds, investment banks, and proprietary tradingIn asset management, hedge funds, and banks

The main difference between a Phd Quant and a Quant Analyst lies in their educational background and focus. Phd Quants typically hold doctoral degrees and focus on developing complex models and research, while Quant Analysts often have master's or bachelor's degrees and focus on applying models to trading strategies. Both roles are integral to quantitative finance but differ in scope and depth of research.

What are popular job titles related to Phd Quant jobs in Riverside, CA? For Phd Quant jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Phd Quant jobs in Riverside, CA look for? The top searched job categories for Phd Quant jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Phd Quant jobs? Cities near Riverside, CA with the most Phd Quant job openings:
Principal Applied Scientist

Principal Applied Scientist

Viant Technology

Irvine, CA โ€ข On-site

$220K - $260K/yr

Full-time

Medical, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

WHAT YOUโ€™LL DO

Viantโ€™s Machine Learning team is at the forefront of transforming the Ad Tech industry through cutting-edge machine learning and AI-driven automation. By eliminating manual processes in digital ad creation, optimization, and measurement, we build autonomous, scalable systems that process hundreds of millions of events daily.

We are seeking an exceptional Principal Applied Scientist to drive groundbreaking innovation in applied machine learning. In this role, you will lead end-to-end AI strategy, shape the applied science roadmap, and develop next-generation models in NLP, deep learning, and large-scale AI systems. Your expertise will push the boundaries of AI capabilities, delivering measurable business impact while fostering a research-driven, data-centric culture at Viant.

DAY-TO-DAY
  • Lead and Define AI Strategy โ€“ Set the vision for applied ML research and AI-driven decision-making across Viantโ€™s products and services.
  • Drive High-Impact Research โ€“ Conduct advanced research in NLP, RL, LLMs, and deep learning, publishing in top-tier conferences while applying findings to real-world production systems.
  • Architect and Deploy ML at Scale โ€“ Develop, optimize, and deploy high-throughput, low-latency ML models, collaborating with engineers to bring solutions into production.
  • Innovate in Generative AI & Causal ML โ€“ Explore novel AI techniques, such as LLMs, reinforcement learning, and causal inference, to enhance targeting, personalization, and attribution models.
  • Experimentation and Validation โ€“ Design, run, and analyze A/B experiments to test ML-driven strategies, ensuring data-driven decision-making.
  • Mentor and Influence โ€“ Provide technical leadership for a team of applied scientists and ML engineers, fostering a culture of innovation and excellence.
MUST HAVE
  • Experience: 7+ years of experience building and deploying machine learning models at scale.
  • Technical Leadership: Demonstrated ability to lead complex, high-ambiguity ML projects from research to production.
  • Academic & Industry Recognition: Masters + At least two peer-reviewed publications in deep learning, NLP, or a related AI domain or a PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field.
  • Deep Expertise in ML & AI: Strong foundation in deep learning, NLP, generative AI, and causal inference.
  • Programming & Frameworks: Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, LangChain, Llama Index).
  • Scalability & Cloud: Experience with distributed computing, cloud ML platforms (AWS, GCP, or Azure), and real-time AI inference.
GREAT TO HAVE
  • Industry Impact: Publications at top-tier ML/NLP conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI).
  • Ad Tech Expertise: Experience in digital advertising, real-time bidding, or audience modeling.
  • Generative AI Applications: Hands-on experience with LLMs and multimodal AI applications.
  • Optimization & Personalization: Strong background in reinforcement learning, dynamic pricing, or recommendation systems.
LIFE AT VIANT

Investing in our employeeโ€™s professional growth is important to us, but so is investing in their well-being. Thatโ€™s why Viant was voted one of the best places to work and some of our favorite employee benefits include fully paid health insurance, paid parental leave and unlimited PTO and more.

BASE COMPENSATION RANGE

Base compensation range: $220,000 - $260,000
In accordance with California law, the range provided is Viantโ€™s reasonable estimate of the compensation for this role. Final title and compensation for the position will be based on several factors including work experience and education.

About Viant

Viant Technology Inc. (NASDAQ: DSP) is a leader in CTV and AI-powered programmatic advertising, dedicated to driving innovation in digital marketing. Viantโ€™s omnichannel platform built for CTV allows marketers to plan, execute and measure their campaigns with unmatched precision and efficiency. With the launch of ViantAI, Viant is building the future of fully autonomous advertising solutions, empowering advertisers to achieve their boldest goals. Viant was recently awarded Best AI-Powered Advertising Solution and Best Demand-Side Platform by MarTech Breakthrough, Great Place to Workยฎ certification and received the Business Intelligence Groupโ€™s AI Excellence Award. Learn more at viantinc.com.

EEO STATEMENT

Viant is an equal opportunity employer and makes employment decisions on the basis of merit. Viant prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, reproductive health decision making, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws. Viant also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.

By clicking โ€œApply for this Jobโ€ and providing any information, I accept the Viant California Personnel Privacy Notice.

#J-18808-Ljbffr