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Manager Risk Analytics Jobs in Alaska (NOW HIRING)

York Risk Services

VP AI Engineering

Minto, AK

$186K - $240K/yr

... analysis, fraud detection, compliance review, and operational optimization. Drive enterprise ... risk management. Qualifications Bachelor's or Master's degree in Computer Science, Artificial ...

Searhc

Compliance Auditor

Juneau, AK · On-site

$47.69 - $67.19/hr

Identify Risk: Analyze audit results, data, policies, and processes to assess risk. * Develop Audit ... Certified Coding Associate - American Health Information Management Association If you like wild ...

TDX Quality

Safety Manager (H)

Anchorage, AK · On-site

... evaluating risk, tracking compliance, and reporting performance metrics. Key Responsibilities ... Perform root cause analysis and track corrective actions through closure. * Ensure timely and ...

Axiom Armored

Safety and Security Manager

Anchorage, AK · On-site

... risk management, and physical security programs. This position serves as the primary point of ... Conduct root cause analyses and oversee corrective action implementation. * Monitor incident trends ...

Amazon

Multi-Site EHS Manager II

Anchorage, AK

You'll conduct comprehensive risk assessments, analyze safety data, and implement practical ... Managing our first aid program and emergency response capabilities, you'll ensure immediate care is ...

Amazon

Multi-Site EHS Manager II

Anchorage, AK · On-site

You'll conduct comprehensive risk assessments, analyze safety data, and implement practical ... Managing our first aid program and emergency response capabilities, you'll ensure immediate care is ...

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All JobsRisk Analytics JobsManager Risk Analytics JobsManager Risk Analytics Jobs in Alaska

Manager Risk Analytics information

See Alaska salary details

$55.5K

$120.1K

$183.1K

How much do manager risk analytics jobs pay per year?

As of Jul 18, 2026, the average yearly pay for manager risk analytics in Alaska is $120,140.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $138,900.00 per year, depending on experience, location, and employer.

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

A Manager of Risk Analytics works closely with teams across the organization, such as finance, compliance, operations, and IT, to identify and mitigate potential risks. This role involves communicating complex analytical findings in an understandable way to non-technical stakeholders and supporting informed decision-making. Regular collaboration ensures that risk models and strategies align with business objectives and regulatory requirements. Effective teamwork and cross-departmental communication are essential to implementing robust risk management solutions.

Are risk managers in high demand?

Risk managers are in high demand across various industries due to increasing regulatory requirements and the need to manage financial and operational risks. Organizations seek professionals with strong analytical skills, knowledge of risk assessment tools, and relevant certifications like FRM or CRM to help mitigate potential threats and ensure compliance.

What is the difference between Manager Risk Analytics vs Risk Analyst?

AspectManager Risk AnalyticsRisk Analyst
CredentialsBachelor's or Master’s in Finance, Economics, or related field; professional certifications like FRM or CFABachelor's degree in Finance, Economics, or related field; some certifications preferred
Work EnvironmentLeads teams, manages risk projects, strategic planningAnalyzes data, prepares reports, supports risk management processes
Industry UsageUsed across banking, insurance, investment firmsCommon in financial services, corporate risk departments

The main difference is that a Manager Risk Analytics oversees risk teams and strategic initiatives, while a Risk Analyst focuses on data analysis and reporting. Both roles require similar credentials and are integral to risk management, but the manager has additional leadership responsibilities.

What does a Manager of Risk Analytics do?

A Manager of Risk Analytics leads a team responsible for analyzing data to identify, assess, and mitigate risks within an organization. They develop risk models, oversee the implementation of analytics tools, and provide insights that help guide business decisions. Their work helps organizations manage financial, operational, and strategic risks more effectively. Additionally, they often collaborate with other departments to ensure risk management strategies align with overall business goals.

Do risk managers make good money?

Risk managers typically earn competitive salaries that vary by industry, experience, and location. According to industry data, the median annual salary for risk managers ranges from $80,000 to over $130,000, with senior roles and certifications like FRM or CRM often commanding higher pay. The role involves analytical skills, risk assessment tools, and often requires a bachelor's degree in finance, economics, or related fields.

What is the highest salary for a risk manager?

The highest salaries for risk managers can exceed $150,000 annually, especially for those with extensive experience, advanced certifications like FRM or CFA, and leadership roles in large organizations or financial institutions. Senior risk managers or directors may earn even higher compensation, including bonuses and incentives.

What does a risk manager analyst do?

A risk manager analyst evaluates and monitors potential risks that could impact an organization’s financial health or operations. They analyze data, develop risk mitigation strategies, and use tools like risk assessment software to identify vulnerabilities, often working closely with other departments to ensure compliance and minimize losses.

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

To thrive as a Manager Risk Analytics, you need strong quantitative analysis skills, expertise in risk modeling, and a background in finance, statistics, or a related field—often supported by an advanced degree. Proficiency with statistical software (such as SAS, R, or Python), risk management systems, and relevant certifications like FRM or CFA is typically required. Exceptional leadership, communication, and problem-solving skills help you guide teams and translate complex data into actionable insights for stakeholders. These abilities are critical for accurately assessing risks, informing business decisions, and ensuring regulatory compliance.
What are popular job titles related to Manager Risk Analytics jobs in Alaska? For Manager Risk Analytics jobs in Alaska, the most frequently searched job titles are:
What job categories do people searching Manager Risk Analytics jobs in Alaska look for? The top searched job categories for Manager Risk Analytics jobs in Alaska are:
What cities in Alaska are hiring for Manager Risk Analytics jobs? Cities in Alaska with the most Manager Risk Analytics job openings:
Manager Risk Analytics jobs near you

VP AI Engineering

York Risk Services

Minto, AK

$186K - $240K/yr

Other

Re-posted 9 days ago

Job description

By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there's no limit to what you can achieve.

Newsweek Recognizes Sedgwick as America's Greatest Workplaces National Top Companies

Certified as a Great Place to Work

Fortune Best Workplaces in Financial Services & Insurance

VP AI Engineering

Job Responsibilities

Define and execute the enterprise AI engineering strategy aligned to Sedgwick's claims, risk, and client service transformation goals.

Lead the architecture, development, and deployment of applied AI and agentic AI solutions across global operations.

Build and scale a high-performing AI engineering organization, including Applied AI Engineers, Agentic AI Engineers, ML Engineers, and AI Platform teams.

Establish standards for LLM integration, retrieval-augmented generation (RAG), multi-agent orchestration, workflow automation, and model lifecycle management.

Oversee the design of autonomous and semi-autonomous AI systems that support claims intake, coverage analysis, fraud detection, compliance review, and operational optimization.

Drive enterprise architecture decisions for AI platforms, including model hosting, orchestration layers, vector databases, evaluation frameworks, and observability tooling.

Ensure scalable, secure integration of AI systems with claims platforms, policy systems, document repositories, and enterprise data environments.

Define and enforce engineering best practices for prompt engineering, tool use, memory design, guardrails, structured outputs, and deterministic validation.

Establish governance frameworks for Responsible AI, explainability, auditability, and regulatory compliance.

Partner with cybersecurity, legal, compliance, and data governance teams to mitigate AI-related operational and regulatory risks.

Develop robust evaluation and benchmarking methodologies to measure reasoning quality, workflow completion rates, hallucination risk, and system reliability.

Oversee AI production operations including performance monitoring, drift detection, cost management, and service reliability.

Translate executive-level business priorities into scalable AI platform capabilities and delivery roadmaps.

Collaborate with Claims Operations, IT, Digital, and Product teams to identify high-impact AI use cases and drive measurable ROI.

Lead build-versus-buy decisions for AI tooling, foundation models, orchestration frameworks, and enterprise integrations.

Manage vendor relationships related to AI platforms, cloud providers, and model providers.

Drive adoption of AI solutions across adjusters, supervisors, and client-facing teams through strong partnership and change management alignment.

Mentor engineering leaders and establish a strong culture of technical excellence, innovation, and operational discipline.

Present AI strategy, progress, risks, and outcomes to executive leadership and board-level stakeholders.

Develop long-term AI capability roadmaps that position Sedgwick as a technology leader in claims and risk management.

Qualifications

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, or related field; advanced degree preferred.

10+ years of experience in software engineering, AI engineering, or platform architecture.

5+ years of leadership experience managing high-performing technical teams.

Demonstrated experience deploying LLM-powered systems and agentic AI solutions in enterprise environments.

Deep expertise in RAG architectures, vector databases, orchestration frameworks, and workflow automation systems.

Strong understanding of distributed systems, cloud-native architectures, and microservices design.

Experience building secure integrations with enterprise systems and legacy platforms.

Proven ability to design and implement AI governance, auditability, and Responsible AI frameworks.

Experience operating in regulated industries such as insurance, healthcare, or financial services preferred.

Strong financial and operational acumen with the ability to manage budgets and measure ROI.

Ability to communicate complex AI concepts to non-technical executives and business stakeholders.

Demonstrated track record of delivering large-scale, production AI systems with measurable business impact.

Strong leadership presence with the ability to drive alignment across cross-functional enterprise teams.

Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace.

If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.

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