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Quantitative Risk Analyst Intern Jobs in Irvine, CA

Working closely with Portfolio Managers, traders, quantitative researchers and technologists, the analyst will develop research, risk and pre-trade analytics used to identify relative-value ...

Build, enhance and maintain models that generate risk analytics for existing and prospective ... Provide timely quantitative support to Portfolio Managers and traders during US trading hours ...

Build, enhance and maintain models that generate risk analytics for existing and prospective ... Provide timely quantitative support to Portfolio Managers and traders during US trading hours ...

Senior Risk Manager - San Jose

Riverside, CA · On-site +1

$176K - $240K/yr

Leading and carrying out tasks that include qualitative and quantitative risk analysis. * Project/program cost and schedule analysis and understanding to add risk costs and time (through analysis) to ...

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Quantitative Risk Analyst Intern information

See Irvine, CA salary details

$69.8K

$116.3K

$156.2K

How much do quantitative risk analyst intern jobs pay per year?

As of Sep 1, 2026, the average yearly pay for quantitative risk analyst intern in Irvine, CA is $116,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $140,600.00 per year, depending on experience, location, and employer.

What does a quantitative risk analyst intern do?

A Quantitative Risk Analyst Intern supports the risk management team by analyzing financial data, building statistical models, and assessing potential risks that could impact an organization. They use mathematical and statistical techniques to identify, measure, and monitor risks associated with investments, market movements, or operational activities. Interns often help with data collection, programming (using tools like Python, R, or Excel), and preparing reports for senior analysts. This role provides valuable hands-on experience in applying quantitative methods to real-world financial risk scenarios.

What types of projects and responsibilities can a quantitative risk analyst intern expect during their internship?

As a Quantitative Risk Analyst Intern, you can expect to work on projects involving data analysis, risk modeling, and validation of existing financial models. You may assist in stress testing portfolios, researching risk factors, and automating data processes under the guidance of senior analysts. Interns typically collaborate closely with risk management, trading, and IT teams, gaining hands-on experience with industry-standard tools and methodologies. This role offers an excellent opportunity to develop technical skills and an understanding of how risk is measured and managed in financial institutions.

What are the key skills and qualifications needed to thrive as a quantitative risk analyst intern, and why are they important?

To thrive as a Quantitative Risk Analyst Intern, you need a solid background in mathematics, statistics, and finance, often supported by progress toward a relevant degree such as finance, economics, or applied mathematics. Familiarity with programming languages like Python or R, statistical analysis tools, and risk management platforms such as SAS or MATLAB is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret complex data and present findings clearly. These skills are crucial for accurately assessing risks, supporting data-driven decision-making, and contributing to effective risk management strategies.

What is the difference between Quantitative Risk Analyst Intern vs Quantitative Risk Analyst?

AspectQuantitative Risk Analyst InternQuantitative Risk Analyst
Required credentialsTypically pursuing or recent graduate with a degree in finance, economics, or related fieldBachelor's or master's degree in a relevant field, often with some professional experience
Work environmentInternship setting, often part-time or summer program within financial institutionsFull-time role within banks, investment firms, or insurance companies
Employer and industry usageUsed in internship programs across finance and risk management firmsStandard position in risk management departments of financial services

The main difference between a Quantitative Risk Analyst Intern and a Quantitative Risk Analyst is experience level and responsibility. Interns are typically students gaining exposure, while analysts are full-time professionals responsible for assessing and managing risk strategies.

What job categories do people searching Quantitative Risk Analyst Intern jobs in Irvine, CA look for?

The top searched job categories for Quantitative Risk Analyst Intern jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for Quantitative Risk Analyst Intern jobs?

Cities near Irvine, CA with the most Quantitative Risk Analyst Intern job openings:

Infographic showing various Quantitative Risk Analyst Intern job openings in Irvine, CA as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $116,284 per year, or $55.9 per hour.

Logistics Risk Analyst

Santa Ana, CA

West Coast Logistics
11 - 50 employees

$46/hr

Full-time

Re-posted 4 days ago


Job description

CLIENT HIGHLIGHT
The client you will be working for is a Top 20 Fortune Global 500 Consumer Electronics and Technology Company. This opportunity will give you experience in the technology sector in the United States with a company that is a globally recognized leader in smartphones, televisions, home appliances, and semiconductor innovation — and one of the most well-known brands in the world.
LOCATION
Santa Ana, CA 92707
COMPENSATION
$46 an hour
SCHEDULE
Working Model: Fully onsite.
CONTRACT TERM
1 year contract with a very high likelihood of extension
POSITION OVERVIEW
The Logistics Risk Analyst focuses on data-driven identification, analysis, and monitoring of logistics risks, serving as the analytical engine of the logistics risk management function and transforming operational data into actionable insights. The role also functions as a Data Analyst, providing business intelligence support through both repeatable and ad hoc reporting (charts, graphs, tables, etc.) that enables informed business decisions.
RESPONSIBILITIES
  • Analyze logistics data from TMS, WMS, ERP, and claims systems to identify risk patterns and anomalies.
  • Develop and maintain logistics risk dashboards, KPIs, and early-warning indicators.
  • Track trends in loss, damage, delay, and service failures.
  • Support root cause analysis with quantitative evidence and data modeling.
  • Prepare regular risk reports and ad-hoc analyses for management review.
  • Partner with IT and operations teams to improve data quality and system integration.
  • Support audits, compliance reviews, and risk assessments with data analysis.
  • Recommend process improvements based on data findings.
  • Analyze performance of process activities, identify problem areas, and present findings in clear, concise charts, graphs, tables, or summaries.
  • Establish standardized methods of recording, tracking, and reporting on activity.
  • Design, implement, automate, and maintain large-scale enterprise data ETL processes.
  • Modify existing databases and database management systems and/or direct programmers and analysts to make changes.
REQUIRED QUALIFICATIONS/SKILLS
  • Bachelor's degree in Data Analytics, Supply Chain, Engineering, Statistics, or a related field.
  • Bachelor's degree in a technical field such as Computer Science, Computer Engineering, or a related field required
  • 3-6 years of experience in logistics analytics, operations analytics, or supply chain data analysis.
  • Excel (Pivot Tables, Lookup, data matching & comparison), Query, and formula proficiency.
  • Communication.
  • Analysis.
  • Hands-on experience with Excel, SQL, and BI tools (Power BI, Tableau, etc.).
  • Familiarity with TMS/WMS and logistics performance metrics.
  • Experience handling large datasets and building dashboards.
  • Strong analytical and quantitative skills.
  • High attention to detail and data accuracy.
  • Ability to translate data into business insights.
  • Ability to work as part of a team, as well as independently or with minimal direction.
  • Excellent written, presentation, and verbal communication skills.
  • Strong PC skills, including knowledge of Microsoft SharePoint.
PREFERRED QUALIFICATIONS
  • Demonstrated knowledge of one or more key information service standards, such as SDLC, ITIL, QA/Testing, Project Management, or Six Sigma.
  • Process certification, such as Six Sigma, CBPP, BPM, ISO 20000, ITIL, or CMMI.