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Executive Risk Management Jobs in Missouri (NOW HIRING)

Mature the Insider Risk Management Program by developing scalable case-management processes, risk ... and executive summaries. * Exceptional integrity, discretion, and judgment when handling ...

Engage with C-level executives at Fortune 500 companies, solving complex problems and presenting ... Join Optro and be at the forefront of transforming risk management and audit through innovative ...

New

By translating complex analytical findings into executive-ready insights and cost-benefit ... Manage multiple assignments and priorities while meeting established deadlines. Basic ...

Enterprise Sales Executive

California, MO · On-site

$120 - $200/hr

Enterprise Sales Executive LRN is the world's leading dedicated ethics and compliance SaaS company ... risk management * Partner with Sales Development to drive proactive outbound prospecting and ...

New

Showing results 41-60

Executive Risk Management information

See Missouri salary details

$23.1K

$78.2K

$167.8K

How much do executive risk management jobs pay per year?

As of Aug 21, 2026, the average yearly pay for executive risk management in Missouri is $78,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,400.00 and $94,100.00 per year, depending on experience, location, and employer.

What is the difference between Executive Risk Management vs Risk Analyst?

AspectExecutive Risk ManagementRisk Analyst
CredentialsCertifications like CRM, ARM, or CPCU often preferredSimilar certifications may be beneficial but less common
Work EnvironmentStrategic, executive-level decision-making, often in corporate officesData analysis, risk assessment, and reporting, typically in office settings
Employer & IndustryLarge corporations, insurance firms, financial institutionsInsurance companies, consulting firms, financial services

Executive Risk Management focuses on high-level risk strategies and decision-making for organizations, while Risk Analysts primarily analyze data to identify and assess risks. Both roles require relevant certifications and are integral to risk mitigation but differ in scope and responsibilities.

What do executive risk management executives do?

Executive risk management executives oversee an organization's strategies to identify, assess, and mitigate risks that could impact business objectives. They develop policies, coordinate with other departments, and ensure compliance with regulations to protect the company's assets and reputation. Strong analytical skills and knowledge of risk assessment tools are essential in this role.

What are the most commonly searched types of Risk Management jobs in Missouri?

The most popular types of Risk Management jobs in Missouri are:

Infographic showing various Executive Risk Management job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $78,208 per year, or $37.6 per hour.

Sr. Insider & Data Risk Analyst

Jobgether

On-site

Full-time

Posted 11 days ago


Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Insider & Data Risk Analyst based in Netherlands.

This is a senior individual contributor role focused on protecting sensitive information, systems, and people from insider and data-loss risks. You will own complex investigations from initial triage through resolution while helping mature insider risk management and Data Loss Prevention capabilities. The role sits at the intersection of cybersecurity, data protection, privacy, and regulated financial services. You will work closely with People/HR, Legal, Compliance, Engineering, IT, and Security teams on highly sensitive cases requiring discretion and sound judgment. The position also offers an opportunity to strengthen risk processes, automate investigations, and apply AI to emerging security challenges. Success requires a highly organized professional who can translate complex findings into clear recommendations for both technical teams and leadership.

Accountabilities
  • Own insider risk investigations from initial triage through closure, including establishing case timelines, coordinating containment and escalation, documenting determinations, and capturing lessons learned.
  • Mature the Insider Risk Management Program by developing scalable case-management processes, risk-tiering methodologies, investigation standards, and repeatable workflows.
  • Operate, monitor, and tune Data Loss Prevention capabilities across SaaS applications, endpoints, and other environments, improving detection quality while reducing false positives.
  • Investigate potential data exfiltration, misuse, policy violations, and inappropriate access involving source code, cloud platforms, collaboration tools, third-party applications, and critical business or trading systems.
  • Strengthen data classification and governance practices while aligning DLP controls with information sensitivity and business risk.
  • Assess risks associated with unauthorized AI and agentic tooling, including potential exposure of sensitive or proprietary information through approved and unsanctioned AI applications.
  • Use workflow automation, AI, and security orchestration capabilities to improve alert triage, investigation efficiency, and the overall maturity of insider risk processes.
  • Lead insider risk and data protection assessments, maintain risk registers, and track remediation activities and emerging threats.
  • Partner with People/HR, Legal, Compliance, Engineering, IT, and Security on sensitive personnel cases, departures, policy violations, and data-handling concerns with a high level of discretion and care.
  • Support internal and external audits, regulatory requirements, and security assurance activities related to insider risk, data protection, privacy, and information security.
  • Contribute insider risk and secure data-handling content to security awareness and employee training programs.
  • Serve as a senior escalation point for insider risk cases and mentor colleagues on investigation methodologies, case management, and effective risk analysis.
  • Monitor developments in insider risk, data protection, privacy, cybersecurity, and financial services regulation to identify opportunities for continuous improvement.
Requirements:
  • 4+ years of professional experience in insider risk, Data Loss Prevention, digital forensics, security investigations, or a closely related discipline.
  • Demonstrated hands-on experience leading sensitive investigations and managing cases involving personnel matters, data misuse, policy violations, or potential exfiltration.
  • Practical experience operating and tuning DLP solutions across SaaS and endpoint environments, with an understanding of detection quality and false-positive reduction.
  • Experience with workflow automation, AI, or SOAR platforms for alert triage, investigation support, and case orchestration.
  • Strong understanding of data classification, data governance, data protection, and information security principles.
  • Working knowledge of SIEM platforms and log analysis, such as Elastic/ELK or Splunk, to support investigations and establish evidence-based conclusions.
  • Familiarity with security and compliance frameworks including NIST CSF, ISO 27001, SOC 2, and privacy regulations such as GDPR and APPI.
  • Strong written and verbal communication skills, with the ability to produce clear investigation reports, case documentation, risk assessments, and executive summaries.
  • Exceptional integrity, discretion, and judgment when handling confidential personnel, customer, business, and security information.
  • Strong organizational skills and attention to detail, with the ability to manage multiple sensitive investigations in a fast-paced, distributed environment.
  • Ability to collaborate effectively with People/HR, Legal, Compliance, Engineering, IT, and Security stakeholders.
  • Experience with digital forensics, eDiscovery, UEBA, insider risk platforms, security operations, or incident response is an advantage.
  • Scripting or automation experience using technologies such as Python or SQL is a plus.
  • Experience with major cloud platforms and familiarity with supporting SOC 2, ISO 27001, or regulatory audits is beneficial.
  • Exposure to fintech, financial services, trading platforms, or regulated environments is strongly valued.
  • Relevant certifications such as GCFA, GCFE, CISSP, CISM, CIPP, CFE, or equivalent are considered a plus.
  • Familiarity with financial services regulatory expectations and multi-jurisdiction privacy requirements is advantageous.
  • A genuine interest in AI-related data risk and using emerging AI capabilities to improve security operations and investigation workflows.
Benefits:
  • Competitive salary and stock options.
  • Health benefits.
  • One-time USD $500 new-hire home-office setup allowance.
  • USD $150 monthly stipend through a Brex Card.
  • Opportunity to work within a globally distributed team spanning multiple countries and time zones.
  • Exposure to cutting-edge cybersecurity, financial technology, cloud infrastructure, AI, and data protection challenges.
  • An inclusive environment committed to diversity and equal opportunity.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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