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Associate Quantitative Risk Analyst Jobs in Norfolk, VA

General Liability Specialist

Chesapeake, VA · On-site

$95K/yr

Risk Analysis & Reporting * Analyze claim trends, loss drivers, and financial performance to ... Our associates play an important role in this commitment by embracing change and showing up for ...

General Liability Specialist

Chesapeake, VA · On-site

$95K/yr

Risk Analysis & Reporting * Analyze claim trends, loss drivers, and financial performance to ... Our associates play an important role in this commitment by embracing change and showing up for ...

Showing results 21-40

Associate Quantitative Risk Analyst information

See Norfolk, VA salary details

$14

$39

$63

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

As of Aug 12, 2026, the average hourly pay for associate quantitative risk analyst in Norfolk, VA is $39.17, according to ZipRecruiter salary data. Most workers in this role earn between $28.85 and $47.69 per hour, depending on experience, location, and employer.

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 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.

What is an associate quantitative risk analyst?

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 are the key skills and qualifications needed to thrive as an associate quantitative risk analyst?

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 popular job titles related to Associate Quantitative Risk Analyst jobs in Norfolk, VA? For Associate Quantitative Risk Analyst jobs in Norfolk, VA, the most frequently searched job titles are:
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What cities near Norfolk, VA are hiring for Associate Quantitative Risk Analyst jobs? Cities near Norfolk, VA with the most Associate Quantitative Risk Analyst job openings:

Senior Decision Science Analyst - P&C Claims GenAI

USAA

Chesapeake, VA • On-site

$85K - $113K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


USAA rating

8.2

Company rating: 8.2 out of 10

Based on 262 frontline employees who took The Breakroom Quiz

51st of 171 rated banks


Job description

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

We are seeking a skilled Senior Decision Science Analyst to join our team in a role that encompasses several critical areas of expertise. This individual will be responsible for AI Decision Evaluation & Optimization, ensuring that GenAI-generated recommendations are assessed, validated, and enhanced to drive superior business outcomes and decision quality. A strong background in Experimentation & Causal Analytics is essential, with a proven ability in A/B testing, causal inference, and impact measurement to quantify the true business value of GenAI solutions and differentiate correlation from causation. Furthermore, proficiency in Unstructured Data & NLP Analytics will be vital for extracting insights from diverse text-based data sources such as claims notes and documents, utilizing NLP and semantic analysis techniques.

The role also demands a commitment to Responsible AI & Governance, including a solid understanding of AI risks, bias detection, explainability, compliance, and governance to ensure AI-assisted decisions are trustworthy and auditable. Finally, the candidate must possess strong Business Translation & Decision Intelligence capabilities, enabling them to translate complex business problems into AI-driven decision strategies, define key success metrics, and integrate GenAI seamlessly into operational workflows.

This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week.

What you'll do:

  • Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.
  • Applies advanced analytical techniques to solve business problems that are typically medium to large scale with significant impact to current and/or future business strategy.
  • Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.
  • Translates recommendation into communication materials to effectively present to various levels of management.
  • Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
  • Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).
  • Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.
  • Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
  • Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
  • Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.
  • Provides subject matter expertise in operationalizing recommendations.
  • Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data).
  • Identifies opportunities to continue to learn in the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or formal (e.g.Certifications or advanced coursework).
  • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

  • 6 years of data & analytics experience OR a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e.P&C, Bank, Finance, Marketing etc.) for a total of 6 years combined experience OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e.P&C, Bank, Finance, Marketing, etc.).
  • Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
  • Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
  • Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.

What sets you apart:

  • AI Decision Evaluation & Optimization – Ability to assess, validate, and improve GenAI-generated recommendations, ensuring they drive better business outcomes and decision quality.
  • Experimentation & Causal Analytics – Expertise in A/B testing, causal inference, and impact measurement to quantify the value of GenAI solutions and separate true business impact from correlation.
  • Unstructured Data & NLP Analytics – Ability to derive insights from claims notes, documents, communications, and other text-based data using NLP and semantic analysis techniques.
  • Responsible AI & Governance – Knowledge of AI risks, bias detection, explainability, compliance, and governance to ensure AI-assisted decisions are trustworthy and auditable.
  • Business Translation & Decision Intelligence – Ability to translate business problems into AI-enabled decision strategies, define success metrics, and embed GenAI into operational claims workflows.
  • US military experience gained through military service or gained as a military spouse / domestic partner

Compensation range: The salary range for this position is: $114,080 - $218,030.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

 

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


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