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Associate Quantitative Risk Analyst Jobs in South Carolina

AVP, AI Risk and Governance

Fort Mill, SC · On-site +1

$117K - $195K/yr

Strong analytical skills, both quantitative and qualitative, with high attention to detail and ... AI Risk Management Framework and ISO AI standards is preferred. Preferences: * Relevant ...

Monitors the development of Project Quantitative Risk Analysis (cost and time). * Collaborates with PMO Director and/or Project Manager to address actions, recognise opportunities and mitigate risks ...

Successful candidates will have excellent communication, quantitative, research, and analytical ... Risk and uncertainty analysis * Business case, economic analysis, net present value, and cost ...

... an Associate level CISSP. Required Skills: * 3+ years of experience supporting enterprise cybersecurity operations, including threat monitoring, incident response, and risk analysis. * 3+ years of ...

... risk analysis. 3 years hands-on experience working with data protection technologies such as data ... Preferred certifications include Microsoft SC100, SC200, CEH, or an Associate level CISSP.

Insider Risk Management * Data Security Posture Management for AI (DSPM for AI) * At least three ... Associate of (ISC)² (working toward CISSP) Key Responsibilities Data Protection & Governance

Sr. Analyst, Cyber Security

Fort Mill, SC · On-site

$93K - $120K/yr

... quantitative and qualitative methods to analyze risk exposure • Develop and implement effective risk mitigation strategies and controls • Collaborate with cross-functional teams to design and ...

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Associate Quantitative Risk Analyst information

What does a quantitative risk analyst do?

A quantitative risk analyst evaluates financial risks using mathematical models and statistical techniques to identify potential losses and inform decision-making. They analyze data, develop risk assessment tools, and often use programming languages like Python or R, as well as risk management software, to monitor and mitigate risks within organizations. Strong analytical skills and knowledge of finance and statistics are essential for this role.

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.

How much does a quant risk analyst make?

The average salary for a quantitative risk analyst is typically between $80,000 and $150,000 annually, depending on experience, location, and the firm. At firms like Morgan Stanley, salaries can vary based on seniority, with entry-level roles starting around $80,000 and more experienced analysts earning over $130,000, often supplemented by bonuses and benefits.

Is a quant analyst high paying?

A quantitative risk analyst typically earns a high salary compared to many other finance roles, especially with advanced skills in mathematics, programming, and data analysis. Compensation varies by industry, experience, and location but often includes bonuses and incentives due to the specialized nature of the work.

What is the salary of a quant risk analyst?

The average salary of a quantitative risk analyst typically ranges from $70,000 to $150,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with advanced skills in programming and risk modeling can earn higher compensation, often supplemented with bonuses and benefits.

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 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.
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Enterprise Risk Management Analyst

Enterprise Risk Management Analyst

Truliant Federal Credit Union

Greenville, SC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Truliant's mission is to improve lives by putting our members first, providing great service and straightforward financial solutions. Our core values of Member Focus, Service, Guidance, Relationships, and Community define how we interact with members to fulfill our mission of improving lives and providing a foundation on which we conduct ourselves.

Our Promise to Our Teammates: Truliant strives to provide all teammates with an enjoyable place to work where they feel valued, empowered and rewarded for all that they do.

Why this role matters

At Truliant Federal Credit Union, strong risk insight helps us make thoughtful decisions that support our members, our employees, and the long term health of the business. As an Enterprise Risk Management (ERM) Analyst, you will help turn risk data into clear, useful reporting that leaders can act on with confidence.

This is a great opportunity for someone who enjoys connecting data, business context, and practical recommendations, and wants to make a meaningful contribution to how enterprise risk is understood across the organization.

What you'll do

In this role, you'll support the development and execution of Truliant's enterprise risk analytics function, with a focus on Key Risk Indicator dashboards, risk reporting, data governance, and analytics based research. You'll work closely with business partners to help surface emerging risks, strengthen reporting, and support informed decision making across the credit union.

Day to day, you'll:

  • Develop and maintain KRI dashboards and risk reporting that help monitor risk exposures across the credit union.
  • Partner with business units to source, validate, and improve the quality of risk related data inputs.
  • Analyze emerging risks, trends, and risk indicators to support enterprise risk assessments, Executive Leadership reporting, and Board level discussions.

Beyond that, your work will include collaborating with Finance, Compliance, IT, Internal Audit, and other stakeholders to improve risk data governance, support risk analytics projects, and contribute to the ongoing maturity of Truliant's ERM framework.

What you bring

We're looking for someone who brings a strong analytical mindset, sound judgment, and the ability to translate complex information into clear insights. You'll do well here if you are comfortable working with data, asking thoughtful questions, and partnering across departments to create reporting that supports better risk decisions.

This role is a great fit if you have:

Required Experience:

  • 3 or more years of experience in risk analytics, data analysis, quantitative modeling, or process driven risk management.

Required Skills:

  • Ability to develop, maintain, and interpret dashboards or reports using data visualization and reporting tools such as Power BI, Tableau, and Excel.
  • Ability to analyze risk data, identify trends, and translate findings into actionable insights for business and leadership audiences.
  • Ability to work independently while collaborating across departments to gather, validate, and govern risk related data.
  • Understanding of risk management regulations or frameworks, such as NCUA, FFIEC, or COSO.
  • Strong communication and organizational skills, with the ability to present information clearly and follow through on reporting priorities.

Education/Certifications:

  • Bachelor's degree in Risk Management, Finance, Economics, Mathematics, Statistics, Data Science, or a related field required.

You should also be comfortable working with evolving information, balancing multiple priorities, and helping stakeholders understand what the data is showing and why it matters.

What sets you apart

You don't need to check every box, but here's what will help you thrive in this role:

  • Experience with SQL, Python, R, or other analytical tools.
  • Familiarity with capital or operational stress testing concepts.
  • Exposure to model development, model validation, or model governance.
  • A master's degree in a quantitative or risk related discipline.
  • Experience within financial services, banking, or credit union environments.
What you'll get

We believe in supporting our team members both professionally and personally.

In this role, you can expect:

  • Meaningful work that helps leaders across Truliant better understand risk and make informed decisions that support our members and business.
  • Opportunities to grow your expertise in enterprise risk management, data governance, dashboards, risk reporting, and analytics based research.
  • A collaborative environment where you will partner with teams such as Finance, Compliance, IT, and Internal Audit while building broad business knowledge.
  • Visibility into enterprise level risk conversations, including work that supports Executive Leadership and Board reporting.
  • A culture that values curiosity, accountability, and continuous improvement, especially as Truliant continues to strengthen its ERM framework.
Ready to Apply?

If you have a passion for member service and would like to invest in a meaningful career with opportunity for growth, we encourage you to apply to Truliant!

As a member of the Truliant family, you will enjoy the following full time benefits:

  • No-cost employee Medical, dental, vision coverage
  • Prescription benefits (including mail order)
  • Paid holidays and Paid Time Off (PTO)
  • 401(k) plan with contribution matching
  • Paid community involvement volunteers hours
  • Paid group life Insurance
  • Teammate loan discounts
  • Tuition reimbursement
  • Short and long-term disability
  • Health & Wellness program
  • Teledoc (physician video conferencing)
  • Onsite fitness facilities or health club reimbursement
  • Employee Assistance Program (EAP)
  • Medical flexible spending account
  • Dependent care flexible spending account