[All remote jobs](https://jobicy.com/jobs.md)[![Mercury logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2023/11/dfb1112a-221.jpeg)](https://jobicy.com/company/mercury.md)[Mercury](https://jobicy.com/company/mercury.md) # Model Risk Manager AI Summary Mercury is seeking a Model Risk Manager to build and operate a scalable, risk-based model risk management program for a growing fintech preparing for regulated-bank operations. The role independently validates internal and third-party models across credit, fraud, BSA/AML, CECL, finance, liquidity, pricing, and operational risk. It requires technical testing of methodology, data, implementation, monitoring, and model performance, alongside constructive challenge of first-line model owners. The manager will improve model inventory, governance standards, reporting, remediation tracking, and regulatory-examination readiness. Success depends on balancing rigorous regulatory expectations with pragmatic collaboration in a fast-moving environment.[Apply for this job](#job-application)[View company](https://jobicy.com/company/mercury.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md), [Canada](https://jobicy.com/job-region/canada.md)SalaryUSD 149,900–208,300 / yrDepartment[Legal & Compliance](https://jobicy.com/categories/legal.md)EmploymentFull TimeExperienceSeniorPublished3 Nov 2026Apply before3 Dec 2026Listing views33Application actions2Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. Opportunity details ## About this role. ### About the role: Mercury is looking for a Model Risk Manager to help build and operate a practical, risk-based Model Risk Management program as we continue to scale and prepare for life as a regulated bank. Models support an increasingly broad range of decisions across Mercury, including credit underwriting, portfolio management, fraud prevention, BSA/AML, CECL, finance, liquidity, pricing, and operational processes. This role will provide independent review and effective challenge throughout the model lifecycle while helping Mercury apply governance proportionate to the actual risk of each model. This is a hands-on role for someone who can move comfortably between technical analysis, regulatory expectations, and business context. You will conduct model validations, challenge assumptions and limitations, improve our model inventory and monitoring practices, and work closely with teams across Risk Ops, Data, Engineering, Product, Finance, Compliance, and Internal Audit. Showing up as a true collaborator, advisor and partner to the business will be key as we continue to build out this function and work towards our collective goals at Mercury. You should be comfortable operating in a fast-moving environment where the objective is not governance for its own sake, but helping Mercury use models safely, responsibly, and effectively. ### What you’ll do: * Perform independent validations and reviews of internally developed and third-party models across areas such as credit, fraud, BSA/AML, CECL, finance, liquidity, pricing, and operational risk. * Evaluate each model’s methodology, assumptions, data quality and lineage, implementation, and performance through reviews and testings such as outcomes analysis, benchmarking, back-testing, and sensitivity testing scaled to its risk and materiality. * Provide credible and constructive challenges to model developers, owners, and users while maintaining effective working relationships with 1LOD. * Assess model risk and materiality based on a model’s inherent risk, purpose, exposure, use, and potential impact. * Help maintain a complete and accurate model inventory, including model ownership, risk rating, dependencies, limitations, validation status, monitoring requirements, and open issues. * Review ongoing monitoring plans and results, including performance thresholds, overrides, data drift, model changes, and conditions that could make a model no longer fit for purpose. * Evaluate vendor models and other third-party analytical products, including available documentation, transparency, performance, limitations, customization, and Mercury’s ability to monitor and control their use. * Document validation conclusions clearly, identify issues, recommend proportionate remediation, and track findings through resolution. * Support controlled model use when validation cannot be completed before implementation by helping establish appropriate limitations, compensating controls, monitoring, and approvals. * Develop clear reporting on model risk, validation coverage, performance concerns, concentrations, dependencies, exceptions, and overdue remediation for management and governance committees. * Help improve Mercury’s Model Risk Management Policy, standards, procedures, and templates. * Use automation and analytical tools to make model inventory management, testing, monitoring, and reporting more efficient. * Partner with Mercury’s Data and AI Governance teams to establish clear boundaries and handoffs between traditional model risk management and the governance of generative AI, agentic AI, and other analytical systems outside the formal model definition. * Support regulatory examinations, Internal Audit reviews, and other assurance activities involving model risk. ### What we’re looking for: * 5+ years of relevant experience in model validation, model development, quantitative risk analytics, or a related discipline within banking, fintech, financial services, or consulting. * Bachelor’s degree in Statistics, Mathematics, Physics, Computer Science, Engineering, Financial Engineering or a related field. Master’s degree or PhD is preferred. * Strong knowledge of model risk management principles and current regulatory expectations, including the revised interagency guidance reflected in SR 26-2. * Intensive experience validating or developing models in one or more areas such as BSA/AML, fraud, financial forecasting, CECL, capital, liquidity, and credit underwriting, using one or more methodologies such as machine learning (e.g., XGBoost, random forests), scorecards, complex vendor models (e.g., Alloy, Firco), and complex spreadsheet-based models. * Proficiency with SQL and Python (from a data analytics lens); comfortable building understanding of models independently of their developers through collecting evidence and data analytics. * Strong written and verbal communication skills; you can explain model risk to a data scientist and to a regulator, or translate your findings and recommendations to guidance for the 1LOD product/business teams, and use different language for each. * Exceptional attention to detail across documentation, code base, testing artifacts and quantitative analysis provided by 1LOD. * Sound judgment and a practical, risk-based mindset: you can distinguish significant model risk from lower-risk matters and have the confidence to challenge model owners constructively, including senior stakeholders. * High ownership, intellectual curiosity, and comfort building processes in a fast evolving environment, where priorities evolve quickly, new ad hoc requests emerge regularly, and role boundaries are intentionally broad. You can operate effectively without tightly-defined scope, find the highest-leverage work, and get it done. ### Preferred qualifications: * Experience helping build or materially enhance a model risk management program. * Familiarity with bank regulatory examinations, charter readiness, or the implementation of risk programs within a growing financial institution. * Knowledge of Haskell ### What success looks like: * Mercury maintains a complete and reliable view of its material models and aggregate model risk. * Critical models receive timely, technically credible, and risk-based independent review. * Model limitations, performance concerns, and remediation needs are clearly understood and acted upon. * Model owners view Model Risk as a rigorous and constructive partner that improves decisions without creating unnecessary friction. * Mercury’s Model Risk Management program is scalable, practical, and ready to withstand regulatory and independent assurance review. *Mercury is a financial technology company, not a bank. Banking services provided through Choice Financial Group, Column N.A., and Evolve Bank & Trust, Members FDIC. Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. #LI-DR1 Total Rewards The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers. Our target new hire base salary ranges for this role are the following: US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $166,600—$208,300 USD US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $149,900—$187,500 USD Canadian employees (any location): $157,400—$196,800 CAD Show more [Apply now >](https://jobicy.com/jobs/158672-model-risk-manager.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior quantitative risk and governance position requiring independent validation expertise, knowledge of banking regulation, and the ability to assess diverse modeling approaches. The role also has broad ownership for building processes and influencing senior stakeholders without tightly defined scope. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$179,100US market range (per year)$150k–$210k0$231.00k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer explicitly provides annual base-salary ranges for US employees: $149,900–$187,500 USD outside designated high-cost US markets and $166,600–$208,300 USD in New York City, Los Angeles, Seattle, and the San Francisco Bay Area. The displayed midpoint is based on the overall US range; Canadian compensation is separately stated as CAD 157,400–196,800 annually. Estimated US market pay for a senior model-risk manager is approximately $150,000–$210,000 USD per year. ## Core skills Skills and capabilities most closely associated with this opportunity. [Model Risk Management](https://jobicy.com/jobs?search_keywords=Model%20Risk%20Management.md)[Model Validation](https://jobicy.com/jobs?search_keywords=Model%20Validation.md)[Quantitative Risk Analysis](https://jobicy.com/jobs?search_keywords=Quantitative%20Risk%20Analysis.md)[Regulatory Compliance](https://jobicy.com/jobs?search_keywords=Regulatory%20Compliance.md)[SR 26-2](https://jobicy.com/jobs?search_keywords=SR%2026-2.md)[Credit Risk Modeling](https://jobicy.com/jobs?search_keywords=Credit%20Risk%20Modeling.md)[Fraud Modeling](https://jobicy.com/jobs?search_keywords=Fraud%20Modeling.md)[BSA/AML](https://jobicy.com/jobs?search_keywords=BSAAML.md)[CECL](https://jobicy.com/jobs?search_keywords=CECL.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Model Performance Monitoring](https://jobicy.com/jobs?search_keywords=Model%20Performance%20Monitoring.md)[Back-testing](https://jobicy.com/jobs?search_keywords=Back-testing.md)[Sensitivity Analysis](https://jobicy.com/jobs?search_keywords=Sensitivity%20Analysis.md)[Data Lineage](https://jobicy.com/jobs?search_keywords=Data%20Lineage.md) Sample interview questionsHow would you prioritize validation work across a large inventory of models?I would begin with a risk-tiering framework that considers each model's purpose, decision impact, exposure, complexity, data dependencies, degree of automation, and potential customer or regulatory impact. Higher-materiality models with weaker controls, recent changes, or adverse performance signals would receive the earliest and deepest reviews. What evidence would you review when validating a credit underwriting model? I would assess the model's intended use, conceptual soundness, feature definitions, training and validation data, data lineage, implementation controls, performance metrics, segmentation, calibration, stability, override practices, and monitoring thresholds. I would also perform or review benchmarking, back-testing, sensitivity analysis, and testing of known limitations. How do you provide effective challenge without creating unnecessary friction with model owners? I frame challenge around the decision risk and supporting evidence rather than personal preferences. I communicate concerns early, distinguish material issues from minor improvements, propose proportionate remediation options, and ensure owners understand the rationale, impact, and expected resolution criteria. How would you evaluate a third-party vendor model with limited transparency? I would document the transparency constraints and assess whether available documentation, testing results, contractual rights, implementation controls, input data quality, outcome monitoring, and compensating controls are sufficient for the intended use. Where independent replication is not feasible, I would recommend use limitations, enhanced monitoring, governance approvals, and clear escalation triggers. How would you distinguish traditional model risk from generative AI governance? I would establish a common inventory and risk-assessment intake, then define boundaries based on the system's purpose, decisioning role, level of autonomy, and whether it meets the formal model definition. Traditional models would follow model validation requirements, while generative or agentic systems would receive additional controls for issues such as prompt security, output quality, explainability, misuse, human oversight, and data privacy. Next step ## Apply now. Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information. Keep exploring ## Related remote jobs. * ![ŌURA logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/07/011c99434cd6-221.webp) ŌURA Nov 3 New ### [Senior Regulatory Affairs Specialist](https://jobicy.com/jobs/158772-senior-regulatory-affairs-specialist.md) Our mission at ŌURA is to empower every person to own their inner potential. 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