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Internship Risk Quant Jobs in Nevada (NOW HIRING)

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Internship Risk Quant information

What is an internship risk quant?

Internship Risk Quants are students or recent graduates who take on temporary roles within financial institutions to assist with quantitative analysis related to risk management. Their main responsibilities include analyzing financial data, developing risk models, and helping identify potential risks for the company. These internships provide hands-on experience with statistical tools, programming, and risk assessment in real-world finance environments. The goal is to prepare interns for full-time quantitative risk analyst roles after graduation.

What types of projects does an internship risk quant typically work on, and how do these projects contribute to the overall risk management strategy of the firm?

Risk Quant interns often work on projects involving data analysis, model validation, and the development of risk assessment tools under the guidance of senior quants. These projects may include tasks such as back-testing risk models, analyzing large datasets to identify potential risk exposures, and automating reporting processes. By contributing to these initiatives, interns help improve the firm's ability to measure and manage financial risks, gaining practical experience with real-world quantitative finance tools and methodologies. Collaboration with teams like trading, risk management, and IT is common, offering interns broad exposure to how quantitative analysis supports strategic decision-making in the organization.

What are the key skills and qualifications needed to thrive as an internship risk quant, and why are they important?

To thrive as an Internship Risk Quant, you typically need strong quantitative skills, a solid background in mathematics, statistics, or finance, and progress towards a relevant degree such as in quantitative finance or a related field. Familiarity with programming languages like Python, R, or MATLAB, as well as experience with risk management systems and financial modeling tools, is highly valued. Attention to detail, analytical thinking, and effective communication skills help interns collaborate and present complex findings clearly. These capabilities are critical for analyzing risk data accurately and supporting decision-making in dynamic finance environments.

What is the difference between Internship Risk Quant vs Risk Analyst?

AspectInternship Risk QuantRisk Analyst
Required CredentialsTypically pursuing or recent graduate, some quantitative courseworkBachelor's or master's in finance, economics, or related field; certifications like FRM or CFA often preferred
Work EnvironmentInternship setting, often in financial institutions or asset management firmsFull-time role in banks, hedge funds, or investment firms
Industry UsageCommonly used for entry-level or internship positions in risk managementEstablished role for ongoing risk assessment and management

The main difference is that an Internship Risk Quant is an entry-level, temporary position aimed at gaining experience, while a Risk Analyst is a full-time professional role responsible for ongoing risk evaluation within financial organizations.

What are the most commonly searched types of Risk Quant jobs in Nevada?

The most popular types of Risk Quant jobs in Nevada are:

What are popular job titles related to Internship Risk Quant jobs in Nevada?

For Internship Risk Quant jobs in Nevada, the most frequently searched job titles are:

What cities in Nevada are hiring for Internship Risk Quant jobs?

Cities in Nevada with the most Internship Risk Quant job openings:

Infographic showing various Internship Risk Quant job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution.

2027 Risk Management Training Program (RMTP) - Management Associate I

Las Vegas, NV • On-site

Full-time

Posted 8 days ago


Job description

Description
Credit One Bank Risk Management Training Program
Program Summary
The Risk Management Training Program (RMTP) is a one-year rotational development program designed to launch the careers of high-potential recent graduates in the rapidly evolving world of financial technology, analytics, and risk management at Credit One Bank.
Through hands-on experience, structured development, and mentorship from industry leaders, RMTP Associates gain exposure to the critical functions that drive strategic decision-making and business performance. Participants build technical expertise in areas such as Data Strategy, Risk Analytics, Profit & Loss (P&L) Analysis, Modeling, and Decision Science, while also developing the leadership, communication, and business acumen needed to become future data-driven leaders.
During the program, associates rotate through multiple teams within the Risk organization, gaining broad exposure to diverse business functions and technologies. Rotational opportunities may include Fraud Strategy, Risk Modeling, Acquisitions Risk, Collections Risk, Risk Analytics, and other high-impact areas that influence customer experience, portfolio performance, and enterprise growth.
By the end of the program, associates will have developed a strong foundation in financial services, advanced analytics, and risk management while building a professional network across the organization. RMTP provides a unique opportunity to accelerate your career, tackle meaningful business challenges, and contribute to innovative solutions that help shape the future of Credit One Bank.
Position Requirements:
  • Bachelor's degree in Economics, Information Systems, Statistics, Finance, Mathematics, Data Analytics, or a related quantitative field, completed by July 2027.
  • Recent graduate who has earned a bachelor's degree within one year of the program start date (July 2026 through July 2027).
  • Minimum cumulative 3.0 GPA.
  • Proficiency in SQL for data extraction, querying, analysis, and working with large datasets.
  • Experience using Python for data analysis, data manipulation, and exploratory analytics through coursework, academic projects, internships, or personal projects.
  • Advanced proficiency in Microsoft Excel, including complex formulas, PivotTables, data validation, reporting, data analysis, and visualization techniques for interpreting large datasets.
  • Strong analytical, problem-solving, and quantitative reasoning skills with a demonstrated ability to translate data into actionable insights.
  • Ability to quickly learn new analytical tools, technologies, and business concepts in a fast-paced, collaborative environment.
  • Strong written and verbal communication skills, with the ability to effectively present findings to both technical and non-technical audiences.
  • Must be able and willing to work onsite in Las Vegas, Nevada.

Preferred:
  • Work experience in the consumer credit card industry.
  • Work experience in financial services.
  • Experience utilizing SAS programming or Snowflake.

Program Dates:
July 2027 - July 2028
Goals of the Program:
  • Cultivate Data-Driven Risk Professionals: Develop associates' analytical and technical skills by providing hands-on experience in data strategy and analytics, training them to become data-driven leaders who can identify and manage risk effectively.
  • Bridge Theory and Practice: Challenge associates to apply their quantitative and technical knowledge from their undergraduate studies to real-world fintech risk scenarios, reinforcing their academic learning with practical application.
  • Develop Core Professional Competencies: Equip associates with crucial soft skills, such as communication, collaboration, and adaptability, that are essential for effectively communicating complex insights to stakeholders.
  • Provide Mentorship and Networking Opportunities: Connect associates with experienced professionals and senior leadership, fostering professional growth and building a strong network within the company.