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Model Risk Manager Jobs in Colorado (NOW HIRING)

... management program. * Deep knowledge of NIST CSF 2.0, ISO 27001/27005, relevant regulatory regimes, and the three-lines-of-defense model. * Experience operating a risk register, risk appetite ...

Enterprise Risk Analyst II

Denver, CO · On-site

$63K - $95K/yr

... models. * Experience performing risk assessments and evaluating control effectiveness. * Familiarity with third-party risk and issue management processes. * Strong analytical, problem-solving, and ...

Enterprise Risk Analyst II

Denver, CO · On-site

$63K - $95K/yr

... models. * Experience performing risk assessments and evaluating control effectiveness. * Familiarity with third-party risk and issue management processes. * Strong analytical, problem-solving, and ...

... such as CRM, FRM, or PRM). * Direct experience leading risk maturity initiatives during rapid corporate digital transformations or shifts to AI-driven business models. Logistics: Location:

Industry/Sector Not Applicable Specialism IFS - Risk & Quality (R&Q) Management Level Senior ... Modeling and reinforcing professional and technical standards, including the Firm's code of conduct ...

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Showing results 1-20

Model Risk Manager information

See Colorado salary details

$54.2K

$117.3K

$178.8K

How much do model risk manager jobs pay per year?

As of Jul 10, 2026, the average yearly pay for model risk manager in Colorado is $117,303.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $135,600.00 per year, depending on experience, location, and employer.

What are some common challenges a Model Risk Manager faces when validating complex financial models?

Model Risk Managers often encounter challenges such as limited or incomplete data, evolving regulatory requirements, and the need to validate highly complex or proprietary models. They must work closely with model developers, quantitative analysts, and compliance teams to ensure all assumptions and methodologies are sound. Staying up to date with industry best practices and maintaining clear documentation are also crucial, as is effectively communicating findings to both technical and non-technical stakeholders.

What is the difference between Model Risk Manager vs Quantitative Analyst?

AspectModel Risk ManagerQuantitative Analyst
Required CredentialsAdvanced degrees in finance, statistics, or mathematics; certifications like FRM or CFADegree in finance, economics, mathematics, or related fields; often CFA or CQF
Work EnvironmentFocus on risk management teams within financial institutions; regulatory complianceAnalytical roles within trading, investment, or banking divisions; model development
Employer & Industry UsageFinancial institutions, banks, asset managersInvestment firms, hedge funds, banks, financial services

The Model Risk Manager primarily oversees and mitigates risks associated with financial models, ensuring compliance and accuracy. In contrast, Quantitative Analysts develop and implement models to support trading, investment, or risk strategies. While both roles require strong quantitative skills and similar credentials, their focus areas differ—risk management versus model development and analysis.

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

To thrive as a Model Risk Manager, you need a solid background in quantitative finance, statistics, or mathematics, often supported by an advanced degree and experience in model development or validation. Familiarity with programming languages such as Python or R, risk management frameworks, and regulatory requirements like SR 11-7 or ECB guidelines is typically expected. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for articulating complex model risks to stakeholders. These competencies are vital for ensuring the accuracy, compliance, and reliability of financial models within an organization.

What does a Model Risk Manager do?

A Model Risk Manager is responsible for identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. They ensure that models are accurate, reliable, and compliant with regulatory standards by overseeing validation processes and monitoring model performance. Their role often includes collaborating with model developers, conducting independent reviews, and implementing model governance frameworks to minimize potential losses or errors stemming from model misuse or inaccuracies.
What are popular job titles related to Model Risk Manager jobs in Colorado? For Model Risk Manager jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Model Risk Manager jobs? Cities in Colorado with the most Model Risk Manager job openings:
Director, Cyber Risk

Other

Posted 10 days ago


Asurion rating

7.2

Company rating: 7.2 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

121st of 208 rated it services


Job description

Position Overview

The Director, Cyber Risk leads Asurion's cyber and technology risk management discipline and is accountable for a consistent, outcome-driven program the business can rely on for decision-making. This strategic, cross-functional leader owns the end-to-end cyber risk lifecycle-identification, assessment, quantification, treatment, acceptance, monitoring, and reporting-along with the cyber risk register, risk appetite and tolerance framework, control assurance, and issues management. The Director partners closely with first-line control owners across security and technology, Portfolio Information Security Officers (PISOs), and key stakeholders in Enterprise Risk Management, Internal Audit, Legal, and Privacy. This role sets the standard for sound risk judgment, develops a high-performing team, and translates complex cyber risk into clear, defensible narratives for senior leadership and the board. This is a salaried, leadership role with enterprise impact, guiding a multi-year maturity uplift from ad hoc practices to scalable, evidence-based risk management.

Key Responsibilities
  • Own and continuously improve the cyber and technology risk management framework, methodology, taxonomy, and lifecycle aligned to NIST CSF 2.0, ISO 27001/27005, and applicable regulatory obligations.
  • Define standards, procedures, and rating scales for consistent enterprise-wide risk identification, assessment, and reporting; partner with the PISO model to ensure common language and practices across portfolios.
  • Lead enterprise cyber risk assessments across technology, business, regulatory, and emerging-risk domains to produce consistent, defensible determinations.
  • Establish and operate a cyber risk quantification capability (e.g., FAIR-based) to express risk in business and financial terms and inform prioritization and investment decisions.
  • Maintain the enterprise cyber risk register; ensure risks are well-described, owned, rated, and tracked to acceptable residual levels; develop and manage KRI/KCI programs for forward-looking posture.
  • Operationalize the risk appetite and tolerance framework with the CISO and senior leadership; own risk acceptance and exception governance with clear, auditable documentation and time-bound approvals.
  • Govern cyber risk policy structure, ownership, review cadence, and exception handling; chair or support cyber risk forums and escalate decisions to appropriate authority levels.
  • Lead second-line, risk-based assurance over design and operating effectiveness of key cyber controls in coordination with first-line and Internal Audit; identify thematic weaknesses and drive structural remediation.
  • Own issues and remediation management-intake, prioritization, owner assignment, tracking to closure, and escalation of aging items.
  • Define and report outcome-focused metrics (e.g., residual risk trends, out-of-appetite reduction, early-versus-late finding ratios, incidents tied to accepted risk) in executive- and board-ready formats.
  • Serve as primary point of contact for cyber risk in regulatory exams, audits, and carrier-partner due diligence.
  • Integrate cyber risk into Enterprise Risk Management to ensure consistency in enterprise risk reporting and governance; partner with Legal, Privacy, Procurement, and technology leaders to embed risk-informed decisions.
  • Oversee vendor/third-party risk within the cyber risk portfolio to ensure supply-chain risk is governed in line with enterprise practices.
  • Build, lead, and develop a team of senior managers and analysts; set objectives, manage performance, and scale capacity through process improvement, tooling, and appropriate AI-assisted workflows.
Education and Experience
  • Bachelor's degree in a related field or equivalent professional experience.
  • 10+ years in cybersecurity, IT/technology risk, or GRC, including 5+ years leading managers or multiple teams/domains.
  • Proven experience designing, leading, or substantially maturing an end-to-end enterprise cyber/IT risk management program.
  • Deep knowledge of NIST CSF 2.0, ISO 27001/27005, relevant regulatory regimes, and the three-lines-of-defense model.
  • Experience operating a risk register, risk appetite/tolerance framework, and risk acceptance/exception governance.
  • Hands-on experience with GRC/IRM platforms (e.g., ServiceNow IRM, Archer, OneTrust, or comparable).
  • Excellent executive communication skills with a track record of briefing senior leadership and boards.
  • Strong cross-functional influence partnering across security, technology, legal, privacy, and business teams.
  • Preferred: CRISC, CISSP, CISM, or CISA; FAIR-based quantification experience; background in regulated or consumer-facing environments; experience with ERM integration and executive/board risk committees; Master's degree in a related field.
Knowledge, Skills, and Abilities
  • Strategic risk leadership with the ability to connect cyber risk to business outcomes and investment decisions.
  • Sound, defensible judgment under uncertainty; skilled in risk trade-offs and acceptance decisions.
  • Expertise in risk quantification, KRI/KCI design, and outcome-based program metrics.
  • Strong governance and policy acumen, including appetite/tolerance, exceptions, and escalation pathways.
  • Proficiency in second-line control assurance and issues management, driving thematic remediation.
  • Exceptional written and verbal communication; translates complex risk into clear, actionable narratives for executives and the board.
  • Team leadership and talent development; builds high-performance teams and next-level leaders.
  • Change agent mindset with process improvement, tooling, and automation competencies, including appropriate use of AI-assisted workflows.
  • Collaboration and influence across ERM, Internal Audit, Legal, Privacy, Procurement, and technology organizations.
Travel Requirements

N/A

Physical Demands
  • Stationary Position: Frequently
  • Vision: 20/20 corrected vision
  • Hearing: Receive detailed information if spoken to

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