1

Quantitative Risk Analyst Intern Jobs in Nevada (NOW HIRING)

next page

Showing results 1-20

Quantitative Risk Analyst Intern information

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 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 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 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 popular job titles related to Quantitative Risk Analyst Intern jobs in Nevada?

For Quantitative Risk Analyst Intern jobs in Nevada, the most frequently searched job titles are:

What cities in Nevada are hiring for Quantitative Risk Analyst Intern jobs?

Cities in Nevada with the most Quantitative Risk Analyst Intern job openings:

Infographic showing various Quantitative Risk Analyst Intern job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Fraud Strategy - Risk Analyst II - P2

CreditOne

Las Vegas, NV โ€ข On-site

Full-time

Posted 6 days ago


Job description

Description
Position Summary
As a member of the Acquisition Fraud Strategy team within the Risk Management department, the Risk Analyst II will develop, implement, and evaluate fraud risk strategies that reduce losses, improve profitability, and increase efficiency, while maintaining a superior customer experience. An individual contributor role, you will work alongside peers to detect and prevent fraud loss associated with high-risk transactional activity.
Summary of Essential Job Functions
  • Develop, implement and evaluate fraud risk strategies
  • Analyze and present data in easy-to-understand visualizations and recommendations appropriate to the type of activity under review
  • Applies industry best practices and provides standards for solution, execution and delivery approach
  • Utilizes analytical and quantitative skills by using data and metrics to test theories, confirm assumptions, generate insights/recommendations and measure success
  • Ability to manage multiple projects under tight deadlines
  • Provides analytics and insights to organizational leaders in response to their business questions using data, tools, technologies and discovery solutions
  • Create and maintain strategy and procedural documentation
  • Utilize business acumen to transfer knowledge of emerging fraud trends to data analysis and subsequent real-time transactional rule creation
  • Employ strong analytical thinking and coding skills (Python, R, SQL, SAS Enterprise Guide, or similar data analysis tool) to investigate transaction details and build loss mitigating strategies
  • Interact and collaborate with various cross-functional business partners such as Operations, Compliance, Modeling, and Technology teams
  • Monitor the performance of fraud risk strategies to ensure an optimal balance between risk and customer experience

Position Requirements
  • Bachelor's degree in Economics, Decision Sciences, Mathematics, Statistics, Computer Science or a related quantitative field.
  • 2-4 years of work experience in a similar role in a professional corporate environment.
  • Ability to transform big data into recommended actions to prevent fraud loss.
  • Proficiency in Python, R, SQL, SAS Enterprise Guide, SAS Enterprise Miner, or a similar programming language is required.
  • Strong critical thinking, problem-solving, analytical and quantitative skills.
  • Ability to drive and influence business decisions based on metrics and data.
  • Demonstrated ability to simplify complex topics for broad audiences.
  • Knowledge of fraud and credit risk analysis, along with an understanding of profitability drivers, financial analysis and credit reporting.
  • Experience in identifying and preventing fraud risk and/or experience in developing and/or using fraud risk models, algorithms or scorecards.
  • Works well within a collaborative team environment.
  • Excellent verbal and written communications skills.
  • Collaborative team player with the ability to effectively manage competing priorities.

Preferred
  • Master's Degree in related field
  • Experience with creating strategies within a fraud decision engine

Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.