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Quantitative Risk Analyst Intern Jobs in Atlanta, GA

Performs end-to-end market risk stress testing including scenario design, scenario implementation ... As a Quantitative Finance Analyst on the Global Financial Crimes Modeling and Analytics team, your ...

... Analyst Intern, you will get hands-on exposure to how an automotive data company turns raw ... risk and increase profitability, we publish and deliver our data on a daily, weekly, and monthly ...

... Analyst Intern, you will get hands-on exposure to how an automotive data company turns raw ... risk and increase profitability, we publish and deliver our data on a daily, weekly, and monthly ...

... Analyst Intern, you will get hands-on exposure to how an automotive data company turns raw ... risk and increase profitability, we publish and deliver our data on a daily, weekly, and monthly ...

... Analyst Intern, you will get hands-on exposure to how an automotive data company turns raw ... risk and increase profitability, we publish and deliver our data on a daily, weekly, and monthly ...

... Analyst Intern, you will get hands-on exposure to how an automotive data company turns raw ... risk and increase profitability, we publish and deliver our data on a daily, weekly, and monthly ...

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Showing results 1-20

Quantitative Risk Analyst Intern information

See Atlanta, GA salary details

$62.5K

$104.2K

$139.9K

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

As of Jun 14, 2026, the average yearly pay for quantitative risk analyst intern in Atlanta, GA is $104,179.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,900.00 and $126,000.00 per year, depending on experience, location, and employer.

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 the most commonly searched types of Quantitative Risk Analyst jobs in Atlanta, GA? The most popular types of Quantitative Risk Analyst jobs in Atlanta, GA are:
What job categories do people searching Quantitative Risk Analyst Intern jobs in Atlanta, GA look for? The top searched job categories for Quantitative Risk Analyst Intern jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Quantitative Risk Analyst Intern jobs? Cities near Atlanta, GA with the most Quantitative Risk Analyst Intern job openings:
Infographic showing various Quantitative Risk Analyst Intern job openings in Atlanta, GA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $104,179 per year, or $50.1 per hour.

Risk Analysts - Hybrid - Temp to perm

CC Pace Systems, Inc.

Atlanta, GA โ€ข On-site

Contractor

Posted 20 hours ago


Job description

Risk Analyst / Sr. Risk Analyst โ€“ Business Analytics & Forecasting

Automotive Lending Industry | Contract-to-Hire | Atlanta or Dallas

CC Pace is seeking Risk Analysts on behalf of a longstanding client within the automotive lending industry. These are contract-to-hire opportunities supporting a growing Risk Management and Analytics organization focused on portfolio analytics, forecasting, predictive modeling, and strategic risk initiatives balancing growth, risk, and capture rate in a high growth environment.

We are open to candidates ranging from emerging analysts to experienced mid-level professionals. Mid-level candidates will typically possess 3โ€“10 years of relevant experience in analytics, forecasting, quantitative modeling, risk management, or related disciplines.

This team values intellectual curiosity, enthusiasm, collaboration, and individuals who genuinely enjoy solving complex business problems with data. Candidates should be prepared to speak in depth about prior project work, including the business challenge, analytical methodology, tools used, tradeoffs considered, and measurable outcomes delivered.

Key Responsibilities

  • Mine, process, and analyze large datasets using advanced analytical techniques and tools
  • Build, recalibrate, validate, and maintain predictive and forecasting models
  • Develop recurring and ad-hoc reporting related to portfolio performance, forecasting, risk trends, and business operations
  • Analyze portfolio trends, KPIs, loss performance, residual values, depreciation trends, and economic factors
  • Present actionable insights and analytical findings to leadership and business stakeholders
  • Collaborate closely with Risk, IT, Finance, and business teams to support strategic decision making
  • Assist in troubleshooting data quality issues and improving analytical/reporting processes
  • Support ongoing enhancement of reporting frameworks, business intelligence capabilities, and forecasting methodologies

Required Qualifications

  • Bachelorโ€™s degree in Mathematics, Statistics, Economics, Computer Science, Finance, Accounting, or another quantitative discipline
  • Strong experience in analytics, forecasting, business intelligence, quantitative analysis, or risk management
  • Advanced Python skills are required and will be tested in the screening process.
  • Strong SQL skills required
  • Strong experience with analytical and statistical tools such as Python, R, SAS, Power BI, Fabric, or similar technologies.
  • Ability to work with statistical concepts and apply analytical findings to practical business situations
  • Strong verbal and written communication skills, you will present your findings to management
  • Proficiency with Microsoft Excel and related reporting tools

Preferred Qualifications

  • Experience within automotive lending, consumer lending, banking, captive finance, or financial services
  • Experience with predictive modeling, forecasting, or portfolio analytics
  • Experience with Power BI, or enterprise BI/data platforms

What Weโ€™re Looking For

We value candidates who are:

  • Intellectually curious and eager to continuously learn
  • Strong team players who collaborate well across technical and business teams
  • Enthusiastic, proactive, and highly engaged
  • Comfortable explaining technical work in detail
  • Detail oriented with strong critical thinking and problem-solving abilities
  • Able to balance analytical rigor with practical business judgment

Additional Information

  • Contract-to-hire opportunity after 6 months
  • We have a strong track record of conversions to permanent at this client
  • Hybrid work schedule