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Associate Quantitative Risk Analyst Jobs in Aiken, SC

Zapata Technology

Data Scientist (1465)

Augusta, GA · Remote

$130K - $140K/yr

Writing code for data prep and analysis (Python, PySpark, SQL) * Building and validating quantitative risk models * Turning raw data into clean, usable datasets * Creating visualizations that make ...

Judit Inc

Principal Financial Analyst

Aiken, SC · On-site

Perform risk analyses and provide decision authority for defining and approving corrective actions ... An Associate's degree and 20 years of practical experience would be considered equivalent. * A high ...

Hubbell Incorporated

Materials Analyst I

Aiken, SC · On-site

$22.50 - $28/hr

... acumen and quantitative measures to maintain an effective inventory system while seeking ... risk. The Materials Analyst works closely with planning, procurement, production, finance, and ...

Hubbell Incorporated

Materials Analyst I

Aiken, SC

$22.50 - $28/hr

... acumen and quantitative measures to maintain an effective inventory system while seeking ... risk. The Materials Analyst works closely with planning, procurement, production, finance, and ...

Varsity Tutors

Business Statistics Tutor

Augusta, GA · Remote

$40/hr

... quantitative coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ... risk analysis. * Curriculum Awareness & Adaptive Instruction: Familiar with business statistics ...

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All JobsAssociate Quantitative Risk Analyst JobsAssociate Quantitative Risk Analyst Jobs in Aiken, SC

Associate Quantitative Risk Analyst information

See Aiken, SC salary details

$13

$34

$56

How much do associate quantitative risk analyst jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for associate quantitative risk analyst in Aiken, SC is $34.46, according to ZipRecruiter salary data. Most workers in this role earn between $25.38 and $41.97 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate Quantitative Risk Analyst, and why are they important?

To thrive as an Associate Quantitative Risk Analyst, you need a strong background in mathematics, statistics, finance, and data analysis, typically supported by a relevant degree such as in finance, mathematics, or economics. Familiarity with statistical software (like R, SAS, or Python), financial modeling tools, and possibly certifications such as FRM or CFA is highly valuable. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and presenting findings. These competencies are essential for accurately assessing financial risks and supporting informed decision-making in risk management environments.

What are some common challenges faced by Associate Quantitative Risk Analysts in their first year, and how can they overcome them?

In their first year, Associate Quantitative Risk Analysts often encounter challenges such as adapting to complex financial models, learning to interpret large datasets, and effectively communicating technical findings to non-technical stakeholders. Navigating regulatory requirements and understanding the company's risk management framework can also be demanding. To overcome these obstacles, new analysts should proactively seek mentorship, participate in team discussions, and leverage internal training resources to build both technical and soft skills. Regular collaboration with colleagues in risk, finance, and IT departments can also provide valuable insights and accelerate professional growth.

What are Associate Quantitative Risk Analysts?

Associate Quantitative Risk Analysts are entry- to mid-level professionals who help financial institutions and organizations assess and manage risk using mathematical models and statistical techniques. They analyze data to identify potential risks, develop risk management strategies, and support decision-making processes. Their work often involves using quantitative software, working with large datasets, and collaborating with other risk management and finance professionals. Typically, they have backgrounds in mathematics, statistics, finance, or related fields.

What is the difference between Associate Quantitative Risk Analyst vs Credit Risk Analyst?

AspectAssociate Quantitative Risk AnalystCredit Risk Analyst
Required CredentialsBachelor's in finance, economics, or related field; often some familiarity with quantitative methodsBachelor's in finance, economics, or related field; certifications like CFA or FRM are common
Work EnvironmentFinancial institutions, risk management teams, quantitative departmentsBanking, lending institutions, credit departments
Employer & Industry UsageUsed in risk modeling, data analysis, and quantitative assessmentsFocuses on assessing creditworthiness and loan risk

The Associate Quantitative Risk Analyst primarily focuses on developing models and analyzing data to measure financial risks, often working with quantitative tools. In contrast, a Credit Risk Analyst concentrates on evaluating the creditworthiness of borrowers and managing credit risk. While both roles require similar educational backgrounds and work within financial institutions, their core responsibilities differ—one emphasizes quantitative modeling, the other credit assessment.

Associate Quantitative Risk Analyst jobs near you
Infographic showing various Associate Quantitative Risk Analyst job openings in Aiken, SC as of May 2026, with employment types broken down into 27% Full Time, 71% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 2% Hybrid, and 1% Remote job distribution, with an average salary of $71,685 per year, or $34.5 per hour.
Data Scientist (1465)

Data Scientist (1465)

Zapata Technology

Augusta, GA • Remote

$130K - $140K/yr

Full-time

Posted 25 days ago

Job description

Referral Eligible


Salary 130K-140K

This is a remote position

Summary:

Zapata Technology is hiring a Data Scientist who wants their work to matter beyond dashboards. You’ll turn complex, messy data into risk models and visualizations that Army leaders actually use to make decisions affecting real people and units. This role blends data engineering, modeling, and storytelling — and puts you directly in front of senior leaders to explain what the data is saying and why it matters. This is not a back-room analytics job. You’ll build the data, build the models, and brief the results.


What You’ll Actually Do (Job Functions)

  • Prepare model-ready datasets from constantly updating, imperfect data sources
  • Perform feature engineering and develop quantitative risk models
  • Transition reporting workflows into Army Vantage using Palantir Foundry
  • Build web-based visualizations that accompany model outputs for leader reviews
  • Support weekly assessment and reporting used by Army leadership
  • Brief findings and model results to senior officers and staff
  • Work with stakeholders to turn vague questions into measurable analytics


Why This Role Is Interesting to a Data Scientist

  • Your models are used in real decision forums
  • You’ll work across the full lifecycle: data → features → model → visualization → briefing
  • Exposure to one of the Army’s most advanced analytics environments (Vantage/Foundry)
  • Problems that require creativity, not canned ML solutions
  • A mission-focused environment where analytics has visible impact


What You Should Be Comfortable With

  • Writing code for data prep and analysis (Python, PySpark, SQL)
  • Building and validating quantitative risk models
  • Turning raw data into clean, usable datasets
  • Creating visualizations that make complex outputs easy to understand
  • Explaining technical results clearly to non-technical senior leaders


Big Plus If You Have

  • Experience with Palantir Foundry
  • Familiarity with Army organizations and data domains
  • Background or interest in behavioral risk, prevention, or human factors analytics


What We’re Looking For (Job requirements)

  • 5–10 years of experience building models, visualizations, and analytics tools
  • Experience briefing technical findings to senior stakeholders


Working Conditions:

Prolonged periods sitting at a desk and working on a computer. 


Position Type/Expected Hours of Work:

Full time position


Travel: Less than 5%


Clearance Type:

Requires an active Secret Clearance.


AAP/EEO Statement:

Equal Opportunity Employer – M/F/Disabled/Veteran

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.


Zapata Technology, Inc. provides reasonable accommodation to applicants who are veterans or who have disabilities and are unable to fully use our company application system. If you need a reasonable accommodation for any part of the application and hiring process, please notify Christina Hall, EEO Coordinator at ChristinaHall@ZapataTechnology.com

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