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Risk Analytics Jobs (NOW HIRING)

Carmax

Director, Credit Risk & Analytics

Kennesaw, GA · On-site

$148K - $237K/yr

Director, Credit Risk & Analytics About this job As the captive lender behind the nation's largest used-car retailer, CarMax Auto Finance (CAF) is the leader in making car financing simpler, fairer ...

Venerable

$100 - $150/hr

As our AVP of Asset Risk & Analytics, you will contribute to and support risk management of the General Account investment portfolios of Venerable. This includes understanding all aspects of the ...

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Risk Analytics information

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$53.5K

$109.8K

$142.5K

How much do risk analytics jobs pay per year?

As of Aug 10, 2026, the average yearly pay for risk analytics in the United States is $109,846.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What is the difference between Risk Analytics vs Risk Management?

AspectRisk AnalyticsRisk Management
Primary FocusAnalyzing data to identify and quantify risksDeveloping strategies to mitigate and control risks
Skills & CertificationsData analysis, statistical modeling, certifications like FRM or CFARisk assessment, strategic planning, certifications like FRM or CRM
Work EnvironmentData-driven, analytical teams within finance, insurance, or bankingStrategic, decision-making teams across various industries
Industry UsageHeavily used in finance, insurance, and banking sectorsApplied across multiple industries including finance, healthcare, and manufacturing

Risk Analytics focuses on analyzing data to identify and quantify risks, while Risk Management involves developing strategies to mitigate those risks. Both roles often require similar certifications and work in data-driven environments, but Risk Analytics is more analytical, whereas Risk Management emphasizes strategic decision-making.

How does a Risk Analytics professional typically collaborate with other departments within an organization?

Risk Analytics professionals often work closely with teams across finance, compliance, IT, and operations to gather relevant data and provide actionable insights. They collaborate with these departments to understand business processes, identify potential risks, and develop models or reports that inform decision-making. Strong communication skills are essential, as risk analysts must translate complex data findings into understandable recommendations for both technical and non-technical stakeholders. Regular cross-functional meetings and project-based teamwork are common, fostering a collaborative environment focused on minimizing risk and supporting organizational objectives.

What are the key skills and qualifications needed to thrive as a Risk Analytics professional, and why are they important?

To thrive as a Risk Analytics professional, you need strong quantitative and analytical skills, a background in statistics or finance, and typically a relevant degree such as mathematics, economics, or data science. Familiarity with statistical analysis software, programming languages like Python or R, and risk management frameworks or certifications (such as FRM or CFA) is often required. Outstanding attention to detail, critical thinking, and effective communication skills distinguish top performers in this field. These competencies are essential for accurately assessing risk, informing strategic decisions, and effectively communicating findings to stakeholders.

Do risk analysts make good money?

Risk analysts typically earn a competitive salary that varies by industry, experience, and location. Entry-level positions often start around $60,000 annually, with experienced professionals earning over $100,000, especially in finance or consulting sectors. Skills in data analysis, statistical tools, and certifications like FRM or CFA can enhance earning potential.

What is risk analytics?

Risk analytics is the process of identifying, assessing, and analyzing potential risks that could negatively impact an organization. It involves using data, statistical models, and quantitative methods to measure and predict risks, such as financial losses, operational disruptions, or compliance issues. By leveraging risk analytics, businesses can make informed decisions, develop strategies to mitigate risks, and improve overall resilience. This field is vital in industries like finance, insurance, and healthcare, where understanding and managing risk is crucial to success.

What does a risk analytics do?

A risk analyst evaluates and quantifies potential risks that could impact an organization’s financial health or operations. They analyze data, use statistical tools, and develop models to identify vulnerabilities and recommend mitigation strategies, often working with software like Excel, SQL, or specialized risk management tools.

Are risk analytics jobs in high demand?

Risk analytics jobs are in high demand across various industries such as finance, insurance, and healthcare due to increasing focus on risk management and data-driven decision making. Professionals with skills in data analysis, statistical modeling, and familiarity with tools like SAS or Python are particularly sought after, and the field is expected to grow as organizations prioritize risk mitigation strategies.
More about Risk Analytics jobs
What are the most commonly searched types of Risk Analytics jobs? The most popular types of Risk Analytics jobs are:
What states have the most Risk Analytics jobs? States with the most job openings for Risk Analytics jobs include:
What job categories do people searching Risk Analytics jobs look for? The top searched job categories for Risk Analytics jobs are:
Risk Analytics jobs near you
Infographic showing various Risk Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $109,846 per year, or $52.8 per hour.

Global Head of Catastrophe Risk Analytics

Starr Insurance Companies

Philadelphia, PA • On-site

Full-time

Re-posted 3 days ago

Job description

Join Starr, a global leader in commercial insurance with over a century of expertise. We empower our employees to innovate, make impactful decisions, and build lasting client relationships worldwide. At Starr, you'll work in an entrepreneurial culture alongside accessible leaders, leveraging our financial strength and vast industry experience to deliver solutions for our clients, no matter how complex. Grow your career with a rapidly growing company that invests in its people and their ability to drive real progress.

The Group Head of Catastrophe Risk Analytics is responsible for leading Catastrophe risk analytics activities across all of Starr Group. This critical leadership position acts as a thought leader and strategic partner, ensuring world-class approaches to catastrophe risk modeling, Risk Analytics, and helps build portfolio management framework that is aligned with underwriting and enterprise risk management strategies. The ideal candidate has deep expertise in catastrophe modeling, a strong analytical mindset, exceptional communication skills, and proven leadership experience.

Key Responsibilities:

  • Develop and execute the group-wide catastrophe risk analytics vision and strategy, ensuring alignment with underwriting strategy, corporate risk appetite and regulatory requirements.
  • Collaborate with underwriting, claims, actuarial, finance, and IT functions to deliver robust catastrophe risk insights that inform technical pricing, portfolio optimization, accumulation control, and capital management.
  • Lead group wide efforts to aggregate catastrophe risk, and deliver associated analytics that support development and execution of underwriting strategy
  • Lead, inspire, and mentor a team of analytics professionals, promoting collaboration, technical excellence, and innovation.
  • Evaluate emerging risks, trends, and technologies in catastrophe modeling and analytics, recommending adoption where appropriate.
  • Oversee the assessment of emerging risks (e.g., climate change, new perils) and evaluate/implement state-of-the-art analytics technology and innovation.
  • Partner with external vendors, data providers, and internal technology partners to develop and deploy optimized Catastrophe modeling workflows and toolset for production of risk analytics.

Qualifications:

  • Advanced degree in a relevant field (e.g., Actuarial Science, Statistics, Geophysics, Engineering, Applied Mathematics, or similar).
  • A minimum of 15 years' experience in catastrophe risk analytics, with significant exposure to both insurance and reinsurance business models.
  • Demonstrated experience in embedding advanced analytics and automation in catastrophe risk management processes.
  • In-depth understanding of capital modeling, risk appetites, reinsurance structures, and portfolio optimization.
  • Strong leadership and people management track record, including in diverse, global, matrixed organizations.
  • Deep expertise in utilization of vendor catastrophe models (RMS, AIR) for development of risk analytics.
  • Excellent interpersonal and communication skills; able to translate complex analytics into actionable business insights.
  • Hands-on experience with advanced analytics, statistical modeling, data governance, big data platforms and visualization tools.
  • Up-to-date knowledge of regulatory environments affecting catastrophe risk.
  • Strong programming and data science skills (e.g., Python, R, SQL).

Starr is an equal opportunity employer, which means we'll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and we're committed to creating an inclusive environment for all employees. We offer first class training and development opportunities to all employees. Our aim is to grow our own talent and bring out the best in people.

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