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Model Risk Management Jobs in Seattle, WA (NOW HIRING)

Summary The Risk Management Information System (RMIS) Manager will oversee the development ... case modeling, requirements gathering, project planning, testing, and implementation. * Monitor ...

System Management & Oversight: * Manage and maintain Origami, the Risk Management Information ... case modeling, requirements gathering, project planning, testing, and implementation. * Monitor ...

Senior Staff Machine Learning Engineer

Seattle, WA · Remote

$118K - $163K/yr

Define standards for reliability, performance, cost efficiency, security, governance, and model risk management across ML services. * Lead design and implementation of models across classical ML and ...

Understanding of industry regulatory requirements (e.g. data privacy, audit, model risk management) and how to design AI solutions that comply with them. Security & Compliance Focus: hands-on ...

Understanding of industry regulatory requirements (e.g. data privacy, audit, model risk management) and how to design AI solutions that comply with them. • Security & Compliance Focus: hands-on ...

Understanding of industry regulatory requirements (e.g. data privacy, audit, model risk management) and how to design AI solutions that comply with them. • Security & Compliance Focus: hands-on ...

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Showing results 1-20

Model Risk Management information

See Seattle, WA salary details

$41.5K

$93.7K

$157K

How much do model risk management jobs pay per year?

As of Jun 20, 2026, the average yearly pay for model risk management in Seattle, WA is $93,694.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $103,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Model Risk Management position, and why are they important?

To excel in Model Risk Management, a professional needs a strong grounding in quantitative finance, statistics, and risk assessment, often backed by advanced degrees in relevant fields. Familiarity with technical tools such as Python, R, SAS, and model validation platforms, along with relevant certifications like FRM or CFA, is highly beneficial. Exceptional communication skills, attention to detail, and critical thinking help individuals stand out when interacting with model developers and risk committees. Mastery of these abilities ensures thorough risk analysis, regulatory compliance, and effective mitigation of financial model risks within the organization.

What are some common challenges faced by professionals in Model Risk Management roles?

Professionals in Model Risk Management commonly encounter challenges such as evolving regulatory requirements, the complexity of advanced financial models, and ensuring effective communication between technical and non-technical stakeholders. Staying current with industry best practices while rigorously validating and documenting models can be demanding but is critical for reducing financial and operational risks. Team members often work cross-functionally, collaborating closely with quants, risk managers, and IT teams to evaluate model performance and implement improvements. Adapting to new analytical tools and maintaining a proactive approach to emerging risks will help you succeed and grow in this dynamic field.

What is a Model Risk Management job?

A Model Risk Management (MRM) job involves identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. Professionals in this role ensure models are accurate, reliable, and comply with regulatory requirements by conducting validation, testing, and performance monitoring. They work closely with model developers, risk teams, and auditors to manage model lifecycle processes. Strong quantitative, analytical, and regulatory knowledge are key skills for success in this field.

What is the salary of model risk validation?

Model risk validation professionals typically earn between $80,000 and $150,000 annually, depending on experience, location, and the size of the organization. Senior roles or those with specialized skills in statistical modeling and regulatory knowledge can earn higher salaries, often exceeding $180,000. Certifications such as FRM or CFA can also influence compensation in this field.

Is model risk management a good career?

Model risk management is a specialized field focused on identifying and mitigating risks associated with financial and statistical models. It offers opportunities for growth, requires strong analytical skills, and often involves certifications like FRM or CFA. The role is in demand within financial institutions, regulatory agencies, and consulting firms, making it a stable career choice for those interested in risk analysis and quantitative methods.

What do model risk managers do?

Model risk managers are responsible for identifying, assessing, and mitigating risks associated with financial and operational models used within an organization. They review model assumptions, validate model performance, and ensure compliance with regulatory standards, often using specialized tools and techniques. Their work helps prevent model errors from leading to financial loss or regulatory issues.

What is the highest paying risk management job?

In risk management, senior roles such as Chief Risk Officer (CRO) or Director of Risk typically have the highest salaries, often exceeding six figures annually. These positions require extensive experience, advanced certifications like FRM or CFA, and strong leadership skills, especially in financial institutions or large corporations.
What are the most commonly searched types of Model Risk Management jobs in Seattle, WA? The most popular types of Model Risk Management jobs in Seattle, WA are:
What are popular job titles related to Model Risk Management jobs in Seattle, WA? For Model Risk Management jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Model Risk Management jobs in Seattle, WA look for? The top searched job categories for Model Risk Management jobs in Seattle, WA are:
Infographic showing various Model Risk Management job openings in Seattle, WA as of June 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $93,694 per year, or $45 per hour.
TikTok Shop - Global Risk Strategy Product Manager

TikTok Shop - Global Risk Strategy Product Manager

TikTok

Seattle, WA • On-site

$176K - $296K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 27 days ago


TikTok rating

7.6

Company rating: 7.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

116th of 191 rated software companies


Job description

Responsibilities
About the Team: The TikTok E-commerce Governance and Experience team ensures our marketplace remains safe, trustworthy, and customer-centric across the globe. We protect users, sellers, and creators by designing policies, building systems, and managing operations that safeguard platform integrity. As part of the Governance and Experience (GNE) organization, our Risk Control and Security team safeguards TikTok Shop's global marketplace for users, sellers, and creators. We blend data-driven insights, policy design, and technical innovation to combat fraud while preserving a seamless user experience. Our team plays a crucial role in ensuring the company's success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you'll be part of a team that's developing new solutions to new challenges. It's working fast, at scale, and we're making a difference. We are looking for talents to join us on this exciting journey! As a Risk Strategy Product Manager, you are the architect of the end-to-end risk defense lifecycle. This role demands a "full-stack" mindset, owning the journey from problem definition to impact validation. You will leverage data-driven insights and AI technologies to build scalable, automated risk frameworks. Serving as a global strategic node, you will collaborate with regional teams, business partners, and technical stakeholders to protect the ecosystem from evolving adversarial threats. Responsibilities: - End-to-End Domain Ownership: Lead the strategic roadmap for specific global risk domains. Design and implement systemic defense frameworks-including risk engine integration, feature logic, and decision pathways-ensuring a proactive defense posture. - AI & Agent Orchestration: Drive the transformation of risk operations through AI. Translate complex risk judgment criteria into LLM prompts and agentic workflows to automate decision-making, replacing manual processes with scalable AI-driven solutions. - Advanced Data Attribution: Conduct deep-dive root cause analysis (RCA) on strategy performance and model health. Interpret feature distributions and data trends to identify drifts, and autonomously adjust thresholds to balance risk levels with business growth. - Global Scalability & Implementation: Translate complex risk logic into standardized global playbooks and quality benchmarks (QA) to ensure consistent defense performance across all localized markets. - Technical Bridge & Execution: Translate complex risk requirements into scalable product roadmaps and technical specifications, driving cross-functional execution across Data, Algorithm, Engineering, and Operations teams.
Qualifications
Minimum Qualifications: - +5 years of experience in Risk Management, Trust & Safety, or Anti-Fraud within large-scale technology ecosystems, with a proven track record of effectively detecting and mitigating high-concurrency adversarial attacks. - Proficiency in SQL with the ability to autonomously extract insights and risk signals from large-scale, complex datasets. - Strong understanding of machine learning principles, specifically in designing high-impact features and evaluating model performance (e.g., Precision, Recall, AUC) to optimize risk-reward trade-offs. - Hands-on experience with AI/LLM applications, including Prompt Engineering and the orchestration of AI agents to solve operational challenges. - Exceptional ability to influence and collaborate across diverse teams, including Business, Data, Engineering, and Operations. - A self-starter with a strong sense of ownership. Comfortable making high-stakes, data-backed decisions in ambiguous environments.
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $176320 - $296020 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

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