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Model Risk Manager Jobs in Alabama (NOW HIRING)

Experience modeling in Cameo Systems Modeler (or equivalent) using SysML, and experience using Teamwork Cloud * Experience in risk management and one or more specialty disciplines: reliability ...

Experience modeling in Cameo Systems Modeler (or equivalent) using SysML, and experience using Teamwork Cloud * Experience in risk management and one or more specialty disciplines: reliability ...

Be a role model for inclusive leadership behaviors and build, develop, and retain diverse teams ... Manage work through effective organization, planning, and prioritization. #J-18808-Ljbffr

Be a role model for inclusive leadership behaviors and build, develop, and retain diverse teams ... Manage work through effective organization, planning, and prioritization.

Showing results 21-40

Model Risk Manager information

See Alabama salary details

$46.7K

$101.1K

$154.1K

How much do model risk manager jobs pay per year?

As of Sep 10, 2026, the average yearly pay for model risk manager in Alabama is $101,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,600.00 and $116,900.00 per year, depending on experience, location, and employer.

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 skills and qualifications are needed to be a model risk manager?

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 are 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 popular job titles related to Model Risk Manager jobs in Alabama?

For Model Risk Manager jobs in Alabama, the most frequently searched job titles are:

What cities in Alabama are hiring for Model Risk Manager jobs?

Cities in Alabama with the most Model Risk Manager job openings:

Infographic showing various Model Risk Manager job openings in Alabama as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, and 4% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $101,113 per year, or $48.6 per hour.

Specialty Systems Engineer

Huntsville, AL

Leidos
IT Services • 10K+ employees

Full-time

Posted 7 days ago


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 153 frontline employees who took The Breakroom Quiz


Job description

Are you ready for your next career challenge?

Leidos Defense Sector provides a diverse portfolio of systems, solutions, and services covering land, sea, air, space, and cyberspace for customers worldwide. Solutions for Defense include enterprise and mission IT, large-scale intelligence systems, command and control, geospatial and data analytics, cybersecurity, logistics, training, and intelligence analysis and operations support. Our team is solving the world's toughest security challenges for customers with "can't fail" missions.

Leidos' Defense Space Business Area is seeking a Specialty Systems Engineer to join a collaborative Systems Engineering Integration and Test team developing a variety of sensor payloads for space. This is an exciting opportunity to leverage your expertise across risk, reliability/availability, radiation, and cybersecurity disciplines - combined with strong MBSE modeling skills - while contributing to our national defense mission.

Position Overview:

We are seeking an experienced Specialty Systems Engineer with strength in risk analysis and one or more specialty disciplines (reliability, availability/maintainability, radiation effects analysis, or cybersecurity) and hands-on proficiency with Model-Based Systems Engineering (MBSE) in Cameo Systems Modeler. The person fulfilling this role must be a skilled communicator who collaborates closely with subject matter experts (SMEs), builds relationships across disciplines, and translates specialty analysis into actionable system models and requirements.

Key Responsibilities:

Risk Management

  • Conduct comprehensive risk assessments to identify, measure, and monitor potential threats to company assets, profitability, and operational integrity.
  • Develop and enforce risk management policies, frameworks, and internal controls aligned with industry standards.
  • Design and implement actionable risk mitigation plans, collaborating cross-functionally with department leaders to reduce exposures.
  • Prepare regular risk reports for executive leadership and ensure ongoing compliance with regulatory requirements and governance standards and run risk management review boards.

Specialty Engineering (Risk / Reliability / Availability / Radiation / Cybersecurity)

  • Conduct or facilitate reliability and availability/maintainability analyses (e.g., FMEA, FTA, RBD, RAM predictions) to identify, measure, and mitigate threats to system performance and mission success.
  • Support the performance of radiation effects analysis for space systems (e.g., total ionizing dose, single-event effects, radiation hardness assurance) through interaction with subject matter exports
  • Support cybersecurity risk assessments (e.g., threat modeling, vulnerability analysis, RMF/ATO activities) to ensure systems meet mission assurance and security requirements.
  • Monitor and report specialty performance metrics to program and executive leadership, including risk exposure, reliability/availability figures of merit, radiation tolerance margins, and cybersecurity posture, and recommend corrective actions.
  • Collaborate cross-functionally with program management, design engineering, and logistics to integrate specialty findings - risk, reliability/availability, radiation, or cybersecurity drivers - into program baselines, design trade-offs, and compliance with applicable standards (e.g., MIL-STD-785, MIL-HDBK-338, NIST RMF).

MBSE / Cameo Modeling

  • Develop and maintain structural, behavioral, and parametric system models using SysML in Cameo Systems Modeler, leveraging Teamwork Cloud for collaborative, version-controlled model management.
  • Translate specialty analyses (risk, reliability, availability, radiation, or cybersecurity data) into model-based artifacts, establishing bi-directional traceability from stakeholder needs through requirements, architecture, and verification and validation (V&V).
  • Map system-of-system architectures and define physical, logical, and software interfaces, integrating specialty engineering inputs (e.g., reliability block diagrams, risk registers, radiation margin data, security control mappings) directly into the digital model.
  • Execute trade study analysis focusing on -illity related requirement and risk posture

Required Skills:

  • Experience as risk manager and running risk review boards
  • Superior organization and leadership skills and attention to detail
  • High level of commitment to quality work product and organizational ethics, integrity, and compliance
  • Ability to work effectively in a fast-paced, team environment
  • Strong interpersonal skills and the ability to effectively communicate, both written and verbally
  • Demonstrated decision making and problem-solving skills
  • Detail-oriented with the ability to multi-task and meet deadlines with minimal supervision

Basic Qualifications:

  • BS degree and 4+ years of relevant experience, or Masters with 2+ years of relevant experience
  • Must be a US Citizen
  • Must have an active Secret Clearance
  • Experience modeling in Cameo Systems Modeler (or equivalent) using SysML, and experience using Teamwork Cloud
  • Experience in risk management and one or more specialty disciplines: reliability engineering, availability/maintainability analysis, radiation effects analysis, or cybersecurity
  • Experience deriving requirements for complex electrical, mechanical, optical, and software systems
  • Familiarity with technical data management, report writing and support tasks
  • Demonstrated ability in change management, process improvement, project planning, and stakeholder management
  • Ability to demonstrate a commitment to personal and corporate excellence, ethical behavior and integrity

Preferred Qualifications:

  • Experience with space systems, specifically space payloads
  • Object Management Group (OMG) Certified System Modeler Professional (OCSMP) certification
  • INCOSE Systems Engineering Professional (SEP) certification (ASEP or CSEP)
  • Certification or training relevant to specialty area (e.g., ASQ CRE for reliability, Security+/CISSP for cybersecurity)

Why Leidos?

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:September 3, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $87,100.00 - $157,450.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.


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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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