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Remote Bank Risk Management Jobs in Novato, CA (NOW HIRING)

Brex

Compliance Manager, Marketing

San Francisco, CA · On-site +1

$159K - $198K/yr

As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Review ... legal, risk, or a related function within banking, financial services, or fintech * Experience ...

Direct Counsel

Senior Conflicts Analyst

San Francisco, CA · On-site +1

$100K - $120K/yr

Work closely with the Risk Management and IT teams to ensure systems and processes align with firm ... Hybrid and remote-friendly arrangements available. * Professional Environment: Collaborative ...

Direct Counsel

Senior Conflicts Analyst

Saint Helena, CA · On-site +1

$100K - $120K/yr

Work closely with the Risk Management and IT teams to ensure systems and processes align with firm ... Hybrid and remote-friendly arrangements available. * Professional Environment: Collaborative ...

Qcells

Contracts Manager

San Francisco, CA · On-site +1

$98K - $117K/yr

... to remote for the right candidate. Up to 10% travel may be necessary for outreach to our ... Risk Management: * Identify contractual risk exposures and provide recommendations for mitigation ...

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Showing results 41-60

All JobsBank Risk Management JobsRemote Bank Risk Management JobsRemote Bank Risk Management Jobs in Novato, CA

Remote Bank Risk Management information

See Novato, CA salary details

$60.5K

$131K

$199.6K

How much do remote bank risk management jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote bank risk management in Novato, CA is $130,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $151,500.00 per year, depending on experience, location, and employer.

What is remote bank risk management?

Remote Bank Risk Management refers to the process of identifying, assessing, and mitigating financial and operational risks for banks while working remotely. Professionals in this field analyze potential risks such as credit, market, operational, and compliance risks using digital tools and online communication. They implement risk management strategies, monitor transactions, and ensure regulatory compliance without being physically present at the bank’s location. This role is increasingly important as banks adopt more flexible and remote work arrangements.

What are some common challenges faced by professionals in remote bank risk management, and how can they be addressed?

Professionals in remote bank risk management often encounter challenges such as limited direct access to internal teams, rapidly evolving regulatory requirements, and the need to stay updated on emerging financial risks. Effective communication through virtual collaboration tools, regular training on compliance updates, and leveraging advanced risk assessment software can help address these obstacles. Building strong relationships with cross-functional teams and maintaining clear documentation are also key to ensuring risk oversight remains robust, even in a remote setting.

What are the key skills and qualifications needed to thrive as a remote bank risk management professional, and why are they important?

To thrive in Remote Bank Risk Management, you need strong analytical skills, a background in finance or economics, and typically a relevant degree such as a bachelor's in finance, accounting, or risk management. Familiarity with risk assessment software, regulatory compliance systems, and certifications like FRM (Financial Risk Manager) or CFA are often required. Exceptional communication, critical thinking, and attention to detail are essential soft skills for identifying risks and collaborating with remote teams. These competencies ensure accurate risk evaluation and effective mitigation, which are crucial for maintaining financial stability and regulatory compliance in a remote setting.

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

AspectRemote Bank Risk ManagementRemote Credit Analyst
Required CredentialsBanking certifications, risk management degreesFinance, economics degrees, credit analysis certifications
Work EnvironmentBanking institutions, financial firmsFinancial services, lending companies
Employer & Industry UsageUsed in risk departments of banksUsed in lending and credit departments
Search & Comparison IntentUnderstanding risk roles in bankingAssessing credit risk and loan decisions

Remote Bank Risk Management focuses on identifying and mitigating risks within banking operations, requiring risk management expertise. Remote Credit Analysts evaluate creditworthiness of borrowers, focusing on loan approvals. While both roles involve financial analysis, Risk Management emphasizes risk mitigation strategies, whereas Credit Analysts concentrate on credit assessment. Both roles are essential in banking but serve different functions within the financial industry.

What cities near Novato, CA are hiring for Remote Bank Risk Management jobs?

Cities near Novato, CA with the most Remote Bank Risk Management job openings:

Remote Bank Risk Management jobs near you
Infographic showing various Remote Bank Risk Management job openings in Novato, CA as of August 2026, with employment types broken down into 57% Full Time, 14% Part Time, and 29% Contract. Highlights an 100% Remote job distribution, with an average salary of $130,974 per year, or $63 per hour.

Financial Crimes Compliance Modeling & Analytics Manager

Mercury

San Francisco, CA • On-site, Remote

Full-time

Re-posted 11 days ago

Job description

Mercury is building a complete finance stack for startups. We work hard to create the easiest and safest banking* experience possible to simplify entrepreneurs' and business owners' financial lives. The challenge is to do so while ensuring we protect Mercury, customers, and the broader financial ecosystem from bad actors and harmful, illegal, or unauthorized activities.
Mercury builds banking* for ambitious entrepreneurs. While we're not a bank ourselves, our work sits within the broader U.S. financial system - and with that comes a responsibility to help keep it safe. That means building thoughtful systems and processes that root out bad actors, prevent abuse, and protect access for the founders and companies we're here to serve.
The BSA/AML & Sanctions compliance team serves as the oversight function for Mercury's overall AML & Sanctions program. As Financial Crimes Compliance Modeling & Analytics Manager, you'll help drive enhancements to Mercury's financial crimes compliance (FCC) detection and screening models and improve the overall FCC framework. You'll play a key role in developing, tuning, and maintaining Mercury's transaction monitoring (TM) and Sanctions models, and in building the analytics and metrics that track the health of FCC programs. This technical role requires a strong analytical background and FCC subject-matter expertise, and will collaborate closely with risk strategy, engineering, and compliance teams.
*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.
As part of the journey, we would expect you to:
  • Use SQL and other analytical tools to conduct in-depth analysis of Mercury's customers, transactions, alerts, TM rules, risk ratings, and more
  • Use data-driven methods to improve, design, implement, and maintain Mercury's FCC models, including transaction monitoring, sanctions screening, and relevant models
  • Develop bespoke transaction monitoring rules and sanctions screening logic designed to address Mercury's specific AML and sanctions risk
  • Partner with Compliance, Product, and Data leaders to translate regulatory requirements into effective analytical frameworks
  • Know how to tell stories with data, enabling people to understand the output and meaning of analytics activities in a clear, compelling manner
  • Interpret analytics outputs to pinpoint which alerts, patterns, or anomalies signal genuine risk, and articulate why they matter to compliance and business stakeholders
  • Develop and maintain detailed documentation on the configuration of FCC models including scenarios, thresholds, segments, tuning, false positive rules, etc., and any changes made to those configurations over time
  • Evaluate and tune existing detection models and rules to reduce false positives while maintaining regulatory rigor
  • Develop data-driven methods to identify new typologies, emerging risks, and evolving financial crime trends
  • Partner with Model Risk Management to support validation and performance monitoring of models to ensure compliance with internal and regulatory standards
There are lots of paths that could lead you to be successful in a role like this; we think the strongest candidates will have some combination of the following:
  • Bachelor's degree in a quantitative field (e.g. Computer Science, Engineering, Statistics, Mathematics, or related) with 8+ years of experience conducting in-depth data analytics, ideally with 5+ years in FCC or AML/Sanctions related analytics roles
  • Deep understanding of AML and Sanctions fundamentals, including both principles and regulations
  • Outstanding skills with standard analytical tools; top-notch SQL skills required, experience with Python or similar preferred, and familiarity with modern ML tooling (e.g. scikit-learn, XGBoost) a plus
  • Experience developing, tuning, and maintaining machine learning or rule-based detection models, with an understanding of how to rigorously challenge model performance and limitations
  • Experience identifying ways to improve both data-related and operational efficiencies
  • A healthy dose of skepticism combined with a constructive, solution-oriented approach
  • Comfort operating with ambiguity and capable of synthesizing fragmented technical, operational, and business context into a clear understanding of how models actually work, even without a complete playbook
  • High agency and adaptability, able to find the highest-leverage work in a fast-moving environment with evolving priorities
  • Curiosity about how AI/ML is being applied to financial crime detection, and openness to modern tooling as the function evolves
  • Exceptional attention to detail across documentation, testing artifacts, and quantitative analysis
  • Strong written and verbal communication skills; you can explain model risk and analytics findings to both technical and non-technical stakeholders

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
  • US employees outside of the New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $149,900 - $187,500
  • Canadian employees (any location): CAD $157,400 - $196,800

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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