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Model Risk Manager Jobs in Redmond, WA (NOW HIRING)

Experience managing enterprise legal tech or AI vendors, including Service Level Agreement ... Prompt engineering, evals, and model risk review * Prior exposure to adjacent legal domains ( ...

Biosafety Red Teaming Specialist

Seattle, WA · On-site +1

$158K - $320K/yr

Prior experience managing a bounty, vulnerability disclosure, external researcher, or expert review program. * Experience with AI safety evaluations, model red teaming, or frontier model risk ...

Senior Product Manager, Transactional Risk

Seattle, WA · On-site

$144K - $190K/yr

Enable the rules and ML models that decide in milliseconds whether a transaction is safe ... Required : • 4+ years of Product Management experience: With a focus on fraud, risk, payments, or ...

Senior Product Manager, Transactional Risk

Seattle, WA · On-site

$144K - $190K/yr

Enable the rules and ML models that decide in milliseconds whether a transaction is safe ... Management experience: With a focus on fraud, risk, payments, or FinTech. * Deep Domain Expertise ...

Lead Engineer - AI Trust & Governance

Bellevue, WA · On-site

$115K - $151K/yr

... managed throughout their lifecycle, including services that support model and agent operations • ... governance, risk, trust, compliance, or observability platforms • Experience with Gen AI ...

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

The RMIS Manager will collaborate closely with risk management, safety, IT, and business ... case modeling, requirements gathering, project planning, testing, and implementation. * Monitor ...

Senior Product Manager, Transactional Risk

Seattle, WA · On-site

$144K - $190K/yr

Enable the rules and ML models that decide in milliseconds whether a transaction is safe ... Management experience: With a focus on fraud, risk, payments, or FinTech. * Deep Domain Expertise ...

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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Model Risk Manager information

See Redmond, WA salary details

$57.7K

$124.9K

$190.4K

How much do model risk manager jobs pay per year?

As of Jun 26, 2026, the average yearly pay for model risk manager in Redmond, WA is $124,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,800.00 and $144,500.00 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.
Machine Learning Engineer (LLM)- E-commerce Risk Control

Machine Learning Engineer (LLM)- E-commerce Risk Control

TikTok

Seattle, WA • On-site

$148K - $300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.


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
Team Introduction The E-Commerce Risk Control (ECRC) team is responsible for securing TikTok's global e-commerce platforms, such as TikTok Shop and Toko. We safeguard buyers, sellers, creators, and the ecosystem from fraudulent, abusive, or malicious behavior. Our mission is to make TikTok the safest and most trusted online marketplace worldwide. We achieve this through: - Advanced machine learning systems to detect and prevent evolving business risks (e.g., account takeovers, collusion, incentive abuse, brushing, click-farms); - A hybrid approach combining machine learning models, retrieval-augmented reasoning, and multi-agent decision-making systems; - Cross-functional collaboration with product, ops, security, and trust teams. What You'll Do - Develop and deploy machine learning models (supervised, unsupervised, hybrid) to proactively detect fraud, abuse, and anomalies across seller behavior, user interactions, and transactions. - Explore cutting-edge techniques including: - Retrieval-Augmented Generation (RAG) - LangChain-based agents for task decomposition and external knowledge integration - Design prompt engineering and reasoning workflows that connect structured features, risk indicators, and real-time LLM-based decisions. - Knowledge Distillation and BERT-style architectures - Build agentic workflows for complex cases, including modular task agents (e.g., structured data retrieval, open-source search, logical reasoning, decision reflection) orchestrated via a central controller agent. - Work with large-scale behavioral datasets to uncover fraud signals, design monitoring pipelines, and propose new feature generation strategies. - Collaborate with risk ops, product managers, and infra engineers to transform insights into scalable and explainable risk control strategies. Why Join Us - Work on real-world, high-impact challenges in global risk mitigation - Be part of a cutting-edge ML + LLM team shaping the future of risk intelligence - Enjoy a culture of autonomy, innovation, and cross-disciplinary collaboration
Qualifications
Minimum Qualifications -Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a related technical field 2+ years of experience in delivering ML models in production environments -Strong coding skills in Python (preferred), and/or Java/C++ -Familiarity with risk control systems or anomaly detection in large-scale, real-time environments -Experience with LLM post-training applications , especially for agent-based systems -Strong communication skills, with the ability to explain technical solutions to non-technical partners Preferred Qualifications -PhD in Machine Learning, NLP, or a related field -Experience with: - RAG, LangChain, or other agentic LLM systems - Building explainable ML workflows with SHAP, LIME, or counterfactual analysis - Knowledge distillation, BERT, Transformer models - Graph-based modeling, graph neural networks, or similarity search - Background in e-commerce, financial fraud, or trust and safety is highly valued - Familiarity with LLM integration in decision systems is a strong plus
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $148200 - $300960 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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