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Quantitative Economics Jobs in Riverside, CA (NOW HIRING)

Model Risk Analyst

Irvine, CA · On-site

$85K - $95K/yr

Bachelor's degree in business analytics, economics, statistics, mathematics, finance, or a related quantitative field; master's preferred. * A minimum of one year of experience in model development ...

Model Risk Analyst

Irvine, CA · On-site

$85K - $95K/yr

Bachelor's degree in business analytics, economics, statistics, mathematics, finance, or a related quantitative field; master's preferred. * A minimum of one year of experience in model development ...

Model Risk Analyst

Irvine, CA · Hybrid

$85K - $95K/yr

Bachelor's degree in business analytics, economics, statistics, mathematics, finance, or a related quantitative field; master's preferred. * A minimum of one year of experience in model development ...

D. degree in Computer Science, Applied Mathematics, (Bio) Statistics, Applied Statistics, Economics, or similar quantitative fields. Experience developing and deploying models related to recommender ...

Senior Financial Analyst

Irvine, CA

$91K - $114K/yr

The role combines a strong focus on quantitative analysis and financial modeling matched with ... Review industry surveys and benchmarks, economic and demographic trends. Research, draft, and proof ...

Senior Pricing Consultant

Irvine, CA · On-site

$110 - $145/hr

Bachelors degree in a quantitative field (Statistics, Applied Mathematics, Economics, Data Science, Engineering, or similar). Masters will be highly valued. Technical & Analytical Skills * Extensive ...

Work experience in a quantitative field like mathematics, statistics, computer science, economics, etc. or education in such areas. Our offerings comprise: a workplace supportive of innovative ideas ...

Applies quantitative and qualitative analyses to produce actionable insights to increase production, enhance contact strategy and improve unit economics * Leads daily pricing analyses to compare ...

Revenue Operations Analyst

Irvine, CA · On-site

$66K - $104K/yr

Applies quantitative and qualitative analyses to produce actionable insights to increase production, enhance contact strategy and improve unit economics * Leads daily pricing analyses to compare ...

Applies quantitative and qualitative analyses to produce actionable insights to increase production, enhance contact strategy and improve unit economics * Leads daily pricing analyses to compare ...

Showing results 21-40

Quantitative Economics information

See Riverside, CA salary details

$32.3K

$94.5K

$152.3K

How much do quantitative economics jobs pay per year?

As of Aug 7, 2026, the average yearly pay for quantitative economics in Riverside, CA is $94,498.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,500.00 and $124,100.00 per year, depending on experience, location, and employer.

What is the difference between Quantitative Economics vs Data Analyst?

AspectQuantitative EconomicsData Analyst
Required CredentialsDegree in Economics, Mathematics, or related fields; often advanced degreesBachelor's or master's in Data Science, Statistics, or related fields
Work EnvironmentResearch-focused, policy analysis, academic or economic consulting firmsBusiness, marketing, finance departments, or tech companies
Employer & Industry UsageFinancial institutions, government agencies, research institutionsCorporations, marketing firms, tech companies
Common Search & Comparison IntentUnderstanding economic modeling, policy impact, research rolesData interpretation, reporting, business insights

While both roles involve data analysis, Quantitative Economics emphasizes economic modeling and policy research, often requiring advanced degrees. Data Analysts focus on interpreting data to inform business decisions, typically with a bachelor's or master's degree. The roles differ in work environment and industry focus but share skills in data handling and statistical analysis.

What are the careers in quantitative economics?

Careers in quantitative economics include roles such as economic analyst, financial analyst, data scientist, risk manager, and policy advisor. These positions typically require strong skills in statistical analysis, econometrics, and programming tools like R or Python, often within finance, government, or research organizations.

What skills and qualifications are needed to thrive as a quantitative economist?

To thrive as a Quantitative Economist, you need a strong background in economics, advanced mathematics, and statistical analysis, often supported by a degree in economics, mathematics, or a related field. Familiarity with statistical software such as R, Python, Stata, or MATLAB and experience with econometric modeling are typically required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex findings to non-technical audiences are valuable soft skills. These competencies enable Quantitative Economists to analyze data effectively, inform policy or business decisions, and clearly convey insights to stakeholders.

What do quantitative economists do?

Quantitative Economics professionals often engage in projects that involve data-driven analysis, such as forecasting economic trends, evaluating policy impacts, and modeling financial markets. Their daily work may include developing econometric models, analyzing large datasets, and presenting insights to stakeholders across departments like finance, strategy, or policy. Collaboration with data scientists, business analysts, and other economists is common to ensure that quantitative findings are integrated into broader business or policy decisions. This role provides opportunities to work on high-impact projects and often leads to advancement into senior analytical or leadership positions.

What can you do with a quantitative economics degree?

A degree in quantitative economics prepares individuals for roles such as financial analyst, data analyst, economic researcher, or risk manager. These positions involve analyzing data, building models, and applying statistical tools like R or Python to inform decision-making in finance, government, or consulting firms.

What is quantitative economics?

Quantitative economics is a field that applies mathematical and statistical methods to analyze economic data and solve economic problems. Professionals in this area use models and quantitative techniques to make predictions, assess policy impacts, and understand economic relationships. It combines economics theory with tools from mathematics, statistics, and computer science to provide rigorous analysis and support data-driven decision making.
What job categories do people searching Quantitative Economics jobs in Riverside, CA look for? The top searched job categories for Quantitative Economics jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Quantitative Economics jobs? Cities near Riverside, CA with the most Quantitative Economics job openings:
Infographic showing various Quantitative Economics job openings in Riverside, CA as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $94,498 per year, or $45.4 per hour.

Sr Data Scientist (AI / ML & GenAI)

SmartIPlace

Irvine, CA • On-site

Contractor

Re-posted 7 days ago


Job description

Hi,

I hope you are doing well.

Please find the job details below:

Job Title: Sr Data Scientist (AI / ML & GenAI)
Location: Irvine, CA

Requirement:
 

  • Education Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, Economics, or related quantitative field from a reputed institution.
  • Experience Around 6 years of experience in Data Science, AI/ML, or Advanced Analytics. Demonstrated experience leading complex, production-grade AI/ML systems at scale.
  • Prior experience mentoring or leading data scientists (formal or informal).
  • Core Technical Expertise Expert proficiency in Python and PySpark.
  • Deep hands-on experience with Spark, Hive, distributed data processing, and cloud platforms.
  • Strong command of ML algorithms, ensemble methods, and advanced feature engineering.
  • Proven hands-on experience with deep learning frameworks (PyTorch and/or TensorFlow).
  • Strong working knowledge of LLMs and Generative AI, including prompt design, orchestration, and evaluation.
  • NLP & Healthcare Analytics Extensive experience with NLP/NLU (NER, summarization, classification, entity extraction), preferably on clinical or healthcare data.
  • Strong understanding of statistical modelling, experimentation, and model validation.
  • Leadership & Professional Skills Proven ability to drive ambiguity to clarity and own outcomes.
  • Strong executive communication and storytelling skills.
  • Ability to balance hands-on technical depth with strategic leadership.
  • Demonstrated ownership mindset with high accountability and bias for action.
  • Domain Expertise (Strongly Preferred) Deep understanding of Medicare Risk Adjustment and CMS programs.
  • Hands-on experience with CMS datasets (MMR, MOR, EDPS, Encounter data).
  • Experience working with clinical, coding, or claims data in healthcare environments.  

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About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

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