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Remote Director Credit Risk Management Jobs in San Ramon, CA

Affirm

Vice President, Treasury

San Francisco, CA · On-site +1

$340K - $380K/yr

Treasury is responsible for all elements of Affirm cash, funding, and risk management, including ... Collaborate closely with Capital Markets, Engineering, Product, Credit Analytics, and Internal ...

Multiplier

Managing Director of Accounting

San Francisco, CA · On-site +1

$180K - $185K/yr

Remote Reporting To: Head of Finance Compensation: $180,000 - $185,000 / year Description About the ... You'll accelerate innovation while balancing compliance and risk management and develop accounting ...

Finix

Business Operations Analyst

San Francisco, CA · On-site +1

$100K - $160K/yr

... risk management. Finix operations include analyzing and facilitating money movement from the ... Experience in payments, fintech, or financial services, particularly in credit risk, collections ...

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All JobsCredit Risk Management JobsRemote Director Credit Risk Management JobsRemote Director Credit Risk Management Jobs in San Ramon, CA

Remote Director Credit Risk Management information

See San Ramon, CA salary details

$94.4K

$174.7K

$336.9K

How much do remote director credit risk management jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote director credit risk management in San Ramon, CA is $174,685.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,800.00 and $210,100.00 per year, depending on experience, location, and employer.

What is the difference between Remote Director Credit Risk Management vs Remote Credit Risk Analyst?

AspectRemote Director Credit Risk ManagementRemote Credit Risk Analyst
CredentialsTypically requires advanced degrees (e.g., MBA, Finance) and extensive experience in credit riskUsually requires a bachelor's degree in finance, economics, or related field; certifications like CFA are common
Work EnvironmentStrategic leadership, overseeing teams, policy development, high-level decision makingData analysis, risk assessment, reporting, supporting senior management
Employer & Industry UsageFinancial institutions, banks, credit agenciesBanks, lending companies, financial services firms

The main difference is that the Remote Director Credit Risk Management focuses on strategic leadership and policy oversight, while the Remote Credit Risk Analyst handles data analysis and risk assessment tasks. Both roles are essential in credit risk management but differ in scope, responsibilities, and experience requirements.

What is a Remote Director of Credit Risk Management?

A Remote Director of Credit Risk Management is a senior professional responsible for overseeing and guiding an organization’s credit risk policies and procedures while working from a remote location. Their main duties include analyzing credit data, setting risk limits, developing risk mitigation strategies, and ensuring compliance with regulations. They collaborate with other departments, provide leadership to credit risk teams, and use advanced analytics to assess and manage credit exposures. This role is vital for maintaining the financial health and stability of a company, particularly in industries like banking and financial services.

What are some common challenges faced by a Remote Director of Credit Risk Management, and how can they be addressed?

A major challenge for a Remote Director of Credit Risk Management is ensuring effective oversight and communication across geographically dispersed teams and stakeholders. Building reliable processes for remote data analysis, risk assessment, and policy enforcement is key. Leveraging collaborative digital tools, maintaining regular virtual meetings, and establishing clear reporting protocols help address these challenges. Additionally, staying updated on emerging risks and regulatory changes requires proactive coordination with cross-functional teams and ongoing professional development.

What are the key skills and qualifications needed to thrive as a Remote Director of Credit Risk Management, and why are they important?

To thrive as a Remote Director of Credit Risk Management, you need deep expertise in credit risk analysis, portfolio management, regulatory compliance, and a relevant degree such as finance or economics, often supported by significant experience in risk leadership roles. Familiarity with credit risk modeling tools, data analytics platforms like SAS or SQL, and knowledge of regulatory frameworks (e.g., Basel III) are typically required. Strong leadership, strategic thinking, and excellent communication skills are essential for managing remote teams and influencing executive decision-making. These skills and qualifications are vital for effectively identifying risks, ensuring compliance, and driving sound credit policies across distributed teams.
What cities near San Ramon, CA are hiring for Remote Director Credit Risk Management jobs? Cities near San Ramon, CA with the most Remote Director Credit Risk Management job openings:
Remote Director Credit Risk Management jobs near you
Senior Model Risk Manager - AI/ML

Senior Model Risk Manager - AI/ML

Mercury

San Francisco, CA • On-site, Remote

Full-time

Re-posted 16 days ago

Job description

Mercury is building the financial stack - intuitive, powerful, and safe for entrepreneurs and businesses of all sizes. We have made a deliberate, company-wide bet on AI/ML. Across fraud detection, financial crime prevention, credit decisioning, and internal operations, machine learning and AI models are becoming core to how Mercury works, and that portfolio is growing fast.
As AI transforms financial services, every institution is being forced to ask a hard question: what does model risk management (MRM) actually mean in this new era? ML has powered fraud detection and credit decisioning for years, but the scope and technology has changed dramatically. Generative models, autonomous agents, and real-time systems are creating risks that existing MRM frameworks were never designed to govern. No one has fully solved this yet. We want to hire the person who will. Ideal candidates may come from a traditional model validation background with deep hands-on experience testing modern AI/ML systems, or from model development, applied AI, or research as data scientists, with a strong understanding of how risks emerge in complex systems and how to rigorously challenge them as they scale into production.
*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.
As Senior Model Risk Manager - AI/ML, you will define what model governance looks like for AI/ML at Mercury. That means continuously building and enhancing the frameworks, not just inheriting them. You will own validation, monitoring, and governance of Mercury's AI/ML model portfolio, but more than that, you will be a thought leader in an industry-wide conversation about how MRM must evolve in the context of AI. You will partner closely with data scientists, engineers, compliance leads, and product teams, and you will help shape not just Mercury's approach, but set a standard for what rigorous, forward-looking MRM on AI can look like in fintech.
Here are some of the things you will do:
Model Governance & Monitoring Oversight
  • Maintain and enhance Mercury's model governance framework, including inventory standards, documentation templates, validation standards, and issue management.
  • Assess whether first-line monitoring efforts are effective, proportionate to model risk, and sufficient to keep models fit for purpose over time.

Model Validation
  • Perform independent validation across predictive ML models, generative AI systems, and agentic workflows, covering data, assumptions, methodology, testing, and monitoring.
  • Assess risks in LLM-powered applications, including RAG pipelines, tool use, autonomy boundaries, human oversight, and hallucination risk.
  • Identify and document model limitations, failure modes, and emerging AI risks including drift, instability, fairness, and robustness concerns

MRM Advisory
  • Serve as a trusted advisor to data scientists, engineers, product teams, and risk partners throughout the AI/ML lifecycle to provide practical guidance on model risk, governance expectations, and control design without slowing responsible innovation.
  • Evaluate new AI use cases for regulatory implications, materiality, and governance requirements prior to deployment.
  • Help shape Mercury's responsible AI standards, including explainability, bias assessment, testing, human oversight, and documentation.

AI Enablement for MRM
  • Develop and maintain AI-enabled automation tools to improve the speed, scale, and effectiveness of model governance and validation workflows.
  • Modernize the MRM function to operate effectively in a fast-moving AI environment while maintaining strong governance standards.

Culture and Advocacy
  • Champion MRM as a strategic enabler of safe and scalable AI/ML adoption, not simply a control function.
  • Build model risk literacy across engineering, product, data science, compliance, and risk teams.

There are many paths that could lead you here. We think the strongest candidates will bring some combination of the following:
  • Bachelor's degree in a quantitative field (e.g. Computer Science, Engineering, Statistics, Mathematics, etc.) with 6-10 years of meaningful hands-on experience developing or validating AI/ML models and systems, ideally in financial services or fintech.
  • Strong technical foundations in Python, SQL, and modern ML tooling (e.g. scikit-learn, XGBoost); familiarity with LLMs, RAG systems, prompt engineering, and AI agent frameworks.
  • Experience in evaluating and testing machine learning models (e.g. in fraud detection) and generative AI systems, including custom evals, red-teaming, or frameworks.
  • Solid understanding of model risk governance principles and regulatory expectations (e.g. SR 11-7 / OCC 2011-12, SR 26-2).
  • Deep appreciation of disciplined model governance and independent effective challenge.
  • A healthy dose of skepticism combined with a constructive, solution-oriented approach.
  • Comfort operating in ambiguity: capable of synthesizing fragmented technical, operational, and business context into a clear understanding of how complex models and AI systems actually work, and making sound judgments even without a complete playbook or perfect documentation.
  • High agency and adaptability: able to operate effectively in a fast-moving environment where priorities evolve quickly, new ad hoc problems 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.
  • Exceptional attention to detail across documentation, code base, testing artifacts and quantitative analysis.
  • Strong written and verbal communication skills; you can explain model risk to a data scientist and to a regulator, and use different language for each.

The total rewards package at Mercury includes base salary, equity, 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 (any location): $200,700 - $250,900
  • Canadian employees (any location): CAD $189,700 - $237,100

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.
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