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Remote Fintech Risk Management Jobs in Santa Clara, CA

Head of Operations (Remote)

Palo Alto, CA ยท On-site +1

$175K - $275K/yr

Implement risk management protocols and best practices across the organization What You Have: * 10+ ... Experience building and leading remote teams across multiple geographies * Exceptional problem ...

Head of Operations (Remote)

Palo Alto, CA ยท Remote

$175K - $275K/yr

Implement risk management protocols and best practices across the organization What You Have: * 10+ ... Experience building and leading remote teams across multiple geographies * Exceptional problem ...

Head of Operations (Remote)

Palo Alto, CA ยท On-site +1

$175K - $275K/yr

Implement risk management protocols and best practices across the organization What You Have: * 10+ ... Experience building and leading remote teams across multiple geographies * Exceptional problem ...

This position is fully remote and can be performed from any location within the United States. The ... risk management, and measurable outcomes. Help shape an emerging product area with the potential to ...

Corporate Counsel

Redwood City, CA ยท On-site +1

$200K - $230K/yr

Support corporate governance, risk management, and day-to-day business operations. * Review ... Excited about flexible, remote work with significant responsibility and room to grow into broader ...

Support corporate governance, risk management, and day-to-day business operations. * Review ... Excited about flexible, remote work with significant responsibility and room to grow into broader ...

Support corporate governance, risk management, and day-to-day business operations. * Review ... Excited about flexible, remote work with significant responsibility and room to grow into broader ...

New

Lead design review and risk management activities. * Manage technical partners/ vendors supporting ... For fully remote positions, compensation will comply with all applicable federal, state, and local ...

Showing results 41-60

Remote Fintech Risk Management information

See Santa Clara, CA salary details

$16

$35

$86

How much do remote fintech risk management jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote fintech risk management in Santa Clara, CA is $35.63, according to ZipRecruiter salary data. Most workers in this role earn between $22.88 and $45.43 per hour, depending on experience, location, and employer.

What is a remote fintech risk manager?

A Remote Fintech Risk Manager is a professional who identifies, assesses, and mitigates financial and operational risks for fintech companies while working remotely. Their responsibilities include developing risk management strategies, ensuring compliance with regulations, analyzing data to detect potential threats, and advising on risk-related matters. This role requires strong analytical skills, familiarity with financial regulations, and the ability to communicate risk findings to stakeholders. Working remotely, these managers rely on digital tools to monitor risks and collaborate with global teams.

What are the key skills and qualifications needed to thrive as a remote fintech risk manager?

To excel in Remote Fintech Risk Management, you need a solid understanding of financial risk assessment, regulatory compliance, and data analysis, usually supported by a degree in finance, economics, or a related field. Familiarity with risk management software, analytics tools like SQL or Python, and certifications such as FRM or CFA is highly valued. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for identifying risks and collaborating with cross-functional teams remotely. These skills ensure the identification and mitigation of potential threats, regulatory adherence, and the safeguarding of fintech operations in a dynamic digital environment.

How does a remote fintech risk manager typically collaborate with cross-functional teams to address emerging risks?

Remote Fintech Risk Management professionals often work closely with product, compliance, IT, and data analytics teams through virtual meetings and collaborative platforms. They are responsible for identifying, assessing, and communicating potential risks while ensuring new fintech products and services comply with regulatory standards. Success in this role relies on proactive communication, leveraging shared digital tools, and participating in regular risk review sessions. Building strong virtual relationships and maintaining transparency are key to effectively mitigating risks in a fast-paced, remote environment.

What is the difference between Remote Fintech Risk Management vs Remote Compliance Analyst?

AspectRemote Fintech Risk ManagementRemote Compliance Analyst
CredentialsCertifications like FRM, CRC, or similar risk management credentialsCertifications such as CAMS, CFE, or compliance-specific credentials
Work EnvironmentFocus on risk assessment, fraud detection, and financial security in fintech firmsFocus on regulatory adherence, policy implementation, and compliance monitoring
Industry UsageCommon in fintech startups, digital banking, and online payment platformsPrevalent in financial institutions, fintech companies, and regulatory bodies

Remote Fintech Risk Management professionals primarily assess and mitigate financial risks within fintech companies, while Remote Compliance Analysts focus on ensuring adherence to regulations and policies. Both roles require similar certifications and often work in overlapping environments, but their core responsibilities differ in scope and focus.

What are the most commonly searched types of Fintech Risk Management jobs in Santa Clara, CA?

The most popular types of Fintech Risk Management jobs in Santa Clara, CA are:

What are popular job titles related to Remote Fintech Risk Management jobs in Santa Clara, CA?

For Remote Fintech Risk Management jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Remote Fintech Risk Management jobs in Santa Clara, CA look for?

The top searched job categories for Remote Fintech Risk Management jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Remote Fintech Risk Management jobs?

Cities near Santa Clara, CA with the most Remote Fintech Risk Management job openings:

Customer Success Manager - Fraud/AML Strategy

DataVisor

Mountain View, CA โ€ข On-site, Remote

Full-time

PTO

Posted 26 days ago


Job description

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!
Job Summary
As a Customer Success Manager (CSM), you will serve as a strategic partner to key enterprise clients, helping them drive ROI through advanced fraud detection, AML compliance, and operational optimization. You'll lead customer engagements across a portfolio of Fortune 500 companies in FinTech, Banking, and E-commerce, providing expert guidance on how to maximize value from our industry-leading SaaS platform.
Your responsibilities include monitoring detection system performance, advising on best practices for using machine learning models, rules engine, and device intelligence signals, and identifying opportunities to reduce fraud or money laundering risks and streamline operations. You'll work cross-functionally with Product and Engineering teams to advocate for customer needs and support ongoing innovation.
This role combines strategic consulting, data-driven decisioning, and hands-on product expertise to deliver measurable impact for our clients.
Requirements
  • Act as the primary point of contact and trusted advisor for assigned enterprise customers, ensuring successful onboarding, adoption, and long-term value realization
  • Understand client business models, fraud/AML risk exposure, and operational needs to define success criteria and shape tailored solution strategies
  • Partner closely with clients to align our fraud detection and AML platform capabilities to their goals, driving measurable improvements in fraud prevention, loss reduction, and operational efficiency
  • Coordinate with internal teams (including Modeling, Product, and Engineering) to ensure timely delivery of enhancements, issue resolution, and optimization of detection outcomes
  • Translate customer insights into actionable feedback for internal roadmap planning and product improvements
  • Monitor detection performance metrics, support quarterly business reviews, and proactively identify opportunities for expansion or deeper integration
  • Educate clients on best practices in fraud/AML strategies and platform usage to maximize return on investment
  • Represent the voice of the customer internally and the voice of our platform externally, including participation in industry events, customer workshops, and solution showcases

Skillset Requirements
  • 3+ years of experience in fraud strategy, risk analytics, customer success, or fraud operations within fintech, banking, payments, or e-commerce industries
  • Deep understanding of fraud/AML use cases such as transaction fraud, account takeover, promotion abuse, synthetic identity fraud, or mule detection
  • Experience working with machine learning-based detection systems and/or rule engines for fraud prevention
  • Strong analytical skills; proficient with SQL, and experience in Python or R for data exploration and investigation
  • Excellent verbal and written communication skills; able to explain technical concepts to both technical and non-technical stakeholders
  • Confident in leading customer-facing discussions and executive presentations
  • Highly organized with strong project ownership and time management skills; able to manage multiple enterprise accounts simultaneously
  • Bachelor's degree in a technical, analytical, or business-related field; advanced degree a plus

Benefits
Base salary, bonus & PTO