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Director Risk Analytics Jobs in Colorado (NOW HIRING)

Showing results 21-40

Director Risk Analytics information

See Colorado salary details

$11.6K

$149.3K

How much do director risk analytics jobs pay per year?

As of Sep 10, 2026, the average yearly pay for director risk analytics in Colorado is $148,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $148,300.00 and $148,300.00 per year, depending on experience, location, and employer.

What does a director risk analytics do?

A Director of Risk Analytics leads a team responsible for identifying, assessing, and mitigating risks that could impact an organization's financial health or operations. They use data analysis and statistical models to evaluate potential threats, develop risk management strategies, and report findings to senior leadership. This role often collaborates with other departments to implement risk controls and ensure compliance with industry regulations. Additionally, the Director of Risk Analytics stays updated on emerging risks and adapts analytics frameworks accordingly to protect the organization.

What are the key skills and qualifications needed to thrive as a director risk analytics?

To thrive as a Director of Risk Analytics, you need deep expertise in quantitative analysis, risk management frameworks, and a relevant advanced degree such as a master's or PhD in finance, mathematics, or statistics. Familiarity with risk modeling tools, statistical software (like SAS, R, or Python), and regulatory compliance systems is typically required. Outstanding leadership, strategic thinking, and effective communication skills distinguish top performers in this role. These capabilities are crucial for accurately assessing risk, leading analytical teams, and supporting informed decision-making across the organization.

How does a director risk analytics typically collaborate with other departments within an organization?

A Director of Risk Analytics frequently works cross-functionally, partnering with departments such as finance, compliance, IT, and operations to identify, assess, and mitigate risks. This role often leads discussions with business leaders to understand strategic objectives and develop data-driven risk management solutions. Effective collaboration ensures that risk policies are aligned with organizational goals and that analytics insights are integrated into decision-making processes across the company. Regular meetings, presentations of risk reports, and joint projects are common ways this collaboration is achieved.

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

AspectDirector Risk AnalyticsRisk Analyst
Required CredentialsBachelor's/Master's in Finance, Economics, or related; often certifications like FRM or CFABachelor's degree in Finance, Economics, or related; certifications like FRM or CFA are a plus
Work EnvironmentStrategic leadership, overseeing teams, high-level decision makingData analysis, risk assessment, reporting
Employer & Industry UsageFinancial institutions, insurance companies, large corporationsFinancial firms, banks, investment companies

The main difference between a Director Risk Analytics and a Risk Analyst lies in their level of responsibility and scope. Directors focus on strategic risk management, leading teams and making high-level decisions, while Risk Analysts handle data analysis and risk assessment tasks. Both roles require similar credentials, but the Director role involves more leadership and strategic planning.

What are the most commonly searched types of Risk Analytics jobs in Colorado?

The most popular types of Risk Analytics jobs in Colorado are:

What are popular job titles related to Director Risk Analytics jobs in Colorado?

For Director Risk Analytics jobs in Colorado, the most frequently searched job titles are:

AI Threat Analyst - Insider Risk

Englewood, CO • On-site

Sierra Nevada Corporation
Guided Missile and Space Vehicle Manufacturing • 5 - 10K employees

$136K - $187K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Key responsibilities

  • Support the Insider Risk Program and champion security operations and AI-driven initiatives.

  • Collaborate with program stakeholders to surface insider threat trends, develop AI security solutions, and shape data strategy.

  • Create detailed reports and visualizations to communicate insights and implement advanced AI and statistical models for security purposes.


Sierra Nevada Corporation rating

8.7

Company rating: 8.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

18th of 72 rated aerospace companies


Job description

Do you have an eye for detail and a passion for building AI automation that drives innovative solutions? Join our team! As an AI Threat Analyst III, you will support the Insider Risk Program and champion the Security Program's business operations and AIdriven initiatives. You will collaborate with key program stakeholders, using cyber tools to surface insiderthreat trends, advance insiderrisk awareness, and enable proactive defensive and offensive security capabilities.As SNC's corporate team, we provide the company and its business areas with strategic direction and business support spanning executive management, finance and accounting, operations, human resources, legal, IT, information security, facilities, marketing, and communications.

Responsibilities:

  • Be a trusted partner for the Security team and all Insider Risk program stakeholders - willing to collaborate cross-functionally to foster a proactive, holistic insider threat program.
  • Drive the development and deployment of complex data science, insider threat and AI security solutions.
  • Collaborate with program leadership and senior stakeholders to shape data strategy and define project goals.
  • Implement advanced AI solutions for both offense and defense security operations.
  • Ensure data quality, security, and governance.
  • Mentor and guide junior and mid-level threat analyst.
  • Lead the creation of detailed reports and visualizations to communicate insights and recommendations.
  • Implement advanced statistical models and machine learning algorithms.
  • Continuously enhance program processes, tools, and methodologies.
  • Stay abreast of industry threat trends and advancements in technology.

Qualifications You Must Have:

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related Intelligence field.
  • 5+ years of experience in data science or a related role.
  • Higher level relevant degree may substitute for experience.
  • Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 9 years of related experience is required.
  • Experience with cyber security tools, applications and/or software such as Security Information and Event Management (SIEM)/ User and Entity Behavior Analytics (UEBA) platforms.
  • Proven ability to analyze large and unstructured data sets to discover active insider threats, uncover insider risk indicators and/or emerging AI threat trends, and identify anomalies indicative of malicious insider activities.
  • Proficiency in programming languages such as Python or R.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Strong analytical and problem-solving skills.
  • Data-oriented personality.
  • Ability to display strong analytical and communication skills.
  • Applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Knowledge of machine learning techniques and algorithms, Large Language Models (LLMs/Generative AI).
  • Experience with common data science toolkits.
  • Proficiency in using query languages such as SQL.
  • Good scripting and programming skills( i.e.; Python)
  • Self-directed and outcome oriented - willing to ensure quality output, identify gaps in process, propose solutions, and drive initiatives to completion with minimal oversight.
  • An active Top Secret U.S. Security Clearance is required.

Qualifications We Prefer:

  • A continuous learner across the AI threat landscape and new training opportunities to build AI fluency on both offense and defense Security.
  • Adaptive problem solver - comfortable operating in evolving threat climates, translating novel AI-enabled risks into practical detections, policy, risk mitigations proactively.
  • Active Insider Threat, Cyber or AI certifications and/or membership across industry recognized standards (Ex. ISC2, CMU ITPM, SANS, etc.).
  • Familiarity with cloud platforms (e.g., AWS, Azure).
  • Experience with data visualization tools, such as Power BI, Tableu, etc.
  • Experience with AWS Data Warehousing: AWS RDS (PostgreSQL), Redshift.
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Amazon DynamoDB.

Essential Functions:

  • Ability to manipulate and analyze large datasets.
  • Ability to work on a computer for extended periods.
  • Must be able to present complex data findings in an understandable manner.
  • Occasional travel may be required.
  • Must be able to lift up to 10 lbs occasionally.
  • Perform data cleaning, preparation, and transformation to ensure the quality and integrity of data used for analysis.

This posting will be open for application for a minimum of 5 days and may be extended based on business needs.

Estimated Starting Salary Range: $136,114.28 - $187,157.14. Compensation varies depending on a wide array of factors, such as candidates' key skills, relevant work experience, and education/training/certifications. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled.

SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more.

IMPORTANT NOTICE:

This position requires current/active Top Secret U.S. Security Clearance. U.S. Citizenship status is required as this position needs an active U.S. Security Clearance for employment. Non-U.S. Citizens may not be eligible to obtain a security clearance. The Department of Defense Consolidated Adjudications Facility (DoD CAF), a federal government agency, handles the adjudicative aspects of the security clearance eligibility process for industry applicants. Adjudicative factors which affect the outcome of the eligibility determination include, but are not limited to, allegiance to the U.S., foreign influence, foreign preference, criminal conduct, security violations, and illegal drug use.

Learn more about the background check process for Security Clearances.

SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We're known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation's most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team!

SNC is an Equal Opportunity Employer committed to an environment free of discrimination.Employment decisions are made based on merit without regard to race, color, age, religion, sex, national origin, disability, status as a protected veteran or other characteristics protected by law.


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