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Overnight Fraud Risk Management Jobs in California

SpaceXAI

Fraud Analyst

Palo Alto, CA

$100K - $135K/yr

We are seeking a Fraud Analyst to join our BSA/AML team. In this role, you will support the ... Collaborate with Engineering and senior management to investigate complex cases and recommend risk ...

Adobe

Mgr, Fraud Policy and Strategy

San Jose, CA · On-site

Proven experience developing fraud strategy, policy, governance, or risk management programs within a global technology, SaaS, financial services, or e-commerce organization. * Deep understanding of ...

TikTok

Fraud Investigator

San Jose, CA · On-site

$121K - $220K/yr

... management systems, including allegation triage, root-cause analysis, and remediation processes. - Experience performing internal fraud risk assessments and implementing effective remediation and ...

OKX

Sr Product Manager, Risk Platform

San Jose, CA · On-site

$148K - $195K/yr

The Risk function at OKX is responsible for the overall risk and fraud prevention culture at the ... What You'll Be Doing: * 7+ years of product management experience in platform products, preferably ...

OKX

Sr Product Manager, Risk Platform

San Jose, CA · On-site

$148K - $195K/yr

The Risk function at OKX is responsible for the overall risk and fraud prevention culture at the ... What You'll Be Doing: * 7+ years of product management experience in platform products, preferably ...

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Overnight Fraud Risk Management information

What is overnight fraud risk management?

Overnight Fraud Risk Management jobs involve monitoring financial transactions and account activity during nighttime hours to detect and prevent fraudulent activities. Professionals in these roles use specialized software and investigative techniques to identify suspicious behavior, respond to alerts, and minimize financial losses. They often work for banks, credit card companies, or other financial institutions, ensuring that any potential threats are addressed swiftly, even outside of standard business hours. Strong analytical skills, attention to detail, and the ability to work independently are important for success in these positions.

What is the difference between Overnight Fraud Risk Management vs Fraud Analyst?

AspectOvernight Fraud Risk ManagementFraud Analyst
Primary FocusMonitoring and managing fraud risks during overnight hoursAnalyzing and investigating fraud cases across all hours
Work EnvironmentNight shifts, often in security or risk departmentsDay or shift work in financial or banking institutions
Required CredentialsRisk management certifications, knowledge of fraud detection toolsFinancial or criminal justice background, analytical skills

Overnight Fraud Risk Management roles focus on monitoring fraud risks during night hours, often requiring specialized risk management knowledge. Fraud Analysts typically work during regular hours analyzing and investigating fraud cases. Both roles are essential in combating financial fraud but differ mainly in work hours and specific responsibilities.

What are the key skills and qualifications needed to thrive as an overnight fraud risk management specialist, and why are they important?

To thrive in Overnight Fraud Risk Management, you need strong analytical skills, attention to detail, and a background in finance, criminal justice, or a related field. Familiarity with fraud detection software, transaction monitoring systems, and sometimes certifications like Certified Fraud Examiner (CFE) are typically required. Excellent problem-solving abilities, effective communication, and the ability to stay focused during overnight shifts are valuable soft skills in this role. These competencies are crucial for quickly identifying and mitigating fraudulent activities to protect company assets outside regular business hours.

What are the main challenges faced by professionals working in overnight fraud risk management, and how can they be addressed?

Professionals in Overnight Fraud Risk Management often face the challenge of quickly identifying and responding to suspicious activities during non-business hours when support from other departments may be limited. Staying alert and maintaining attention to detail is crucial, as fraudulent transactions can occur at any time. To address these challenges, team members rely on robust monitoring systems, clear escalation protocols, and regular communication with daytime teams to ensure seamless case handovers and continuous coverage. Building strong knowledge of fraud patterns and staying updated on emerging threats also helps in making informed decisions during overnight shifts.

What are the most commonly searched types of Fraud Risk Management jobs in California?

The most popular types of Fraud Risk Management jobs in California are:

What cities in California are hiring for Overnight Fraud Risk Management jobs?

Cities in California with the most Overnight Fraud Risk Management job openings:

Overnight Fraud Risk Management jobs near you

Staff Fraud & Risk Analytics Lead (Strategic Risk Economics) *** Direct End Client ***

Projas Technologies, LLC

Mountain View, CA • On-site

Other

Re-posted 17 days ago

Job description

We are seeking a highly analytical and business-minded Staff Fraud & Risk Analytics Lead to serve as a key strategic partner across Risk, Operations, Product, and Finance. This role is responsible for building the economic frameworks that enable data-driven decisions around fraud loss tolerance, risk investments, policy optimization, and growth initiatives.

The ideal candidate combines deep expertise in quantitative analysis, risk economics, and financial modeling with the ability to influence executive stakeholders. You will help shape critical business decisions by translating complex risk tradeoffs into clear, measurable financial outcomes and establishing a scalable decision-making framework that balances growth, revenue, and risk.

This position offers a unique opportunity to influence enterprise-level strategy by quantifying the economic impact of risk decisions and creating a trusted source of truth for leadership teams evaluating product expansion, operational investments, and vendor partnerships.

Key Responsibilities

Strategic Risk Economics & Financial Modeling

  • Design, enhance, and maintain analytical frameworks that quantify the relationship between fraud losses, risk exposure, customer growth, and revenue outcomes.
  • Develop and validate ROI models for new products, policy initiatives, and risk mitigation strategies.
  • Assess business tradeoffs by measuring the financial impact of incremental risk acceptance versus anticipated revenue generation.
  • Build forecasting methodologies that support loss expectations, scenario planning, and strategic business decisions.

Risk Investment & Vendor Performance Analysis

  • Evaluate risk technology and third-party vendor investments through rigorous cost-benefit analysis.
  • Quantify the effectiveness of fraud detection tools, controls, and operational processes in reducing losses and improving business performance.
  • Establish performance measurement frameworks that ensure risk-related expenditures deliver measurable economic value.

Cross-Functional Business Partnership

  • Serve as the primary analytics liaison across Risk, Operations, Finance, Product, and Executive Leadership teams.
  • Translate complex risk concepts into financial and business terms that support investment decisions and executive planning.
  • Partner with stakeholders to ensure assumptions, models, and recommendations align with business objectives and financial standards.
  • Provide analytical support for strategic reviews, governance committees, and executive decision forums.

Decision Support & Executive Insights

  • Deliver proactive impact analyses that quantify expected outcomes before policy or product decisions are implemented.
  • Develop executive-ready reporting, presentations, and decision frameworks that clearly communicate risks, opportunities, and financial implications.
  • Challenge assumptions and recommendations when analysis indicates potential misalignment between expected outcomes and economic realities.
  • Drive consistency and transparency in risk-based financial decision making across the organization.

Scalable Analytics & Process Excellence

  • Build reusable models, dashboards, and analytical tools that improve efficiency and reduce manual effort across recurring risk assessments.
  • Establish data quality standards, model governance processes, and analytical best practices.
  • Support the evolution of enterprise risk measurement capabilities through automation and advanced analytics.

Required Qualifications

  • Bachelor's degree in Finance, Economics, Statistics, Mathematics, Data Science, Business Analytics, or a related quantitative discipline.
  • 5+ years of experience in fraud analytics, risk analytics, financial analysis, business analytics, or related quantitative functions within financial services, fintech, payments, banking, lending, or technology environments.
  • Strong expertise in financial modeling, forecasting, scenario analysis, and ROI evaluation.
  • Demonstrated experience quantifying business tradeoffs involving risk, revenue, operational costs, or investment decisions.
  • Advanced SQL skills and experience working with large-scale datasets.
  • Strong analytical problem-solving abilities with exceptional attention to detail and data accuracy.
  • Proven ability to communicate complex analytical findings to both technical and non-technical audiences.
  • Experience influencing cross-functional stakeholders and senior leadership through data-driven recommendations.

Preferred Qualifications

  • Experience in fraud strategy, fraud operations, fraud prevention, credit risk, chargebacks, payments risk, or trust & safety domains.
  • Knowledge of risk-adjusted economics, loss forecasting, and portfolio performance measurement.
  • Prior exposure to finance, accounting, FP&A, treasury, or enterprise risk management functions.
  • Experience supporting executive-level decision making within high-growth fintech, financial services, marketplace, or technology organizations.
  • Familiarity with stress testing methodologies, scenario modeling, and sensitivity analysis.
  • Experience with business intelligence and visualization platforms such as Tableau, Looker, Power BI, or similar tools.
  • Experience working with cloud-based analytical environments and modern data platforms.
  • Exposure to predictive analytics, experimentation frameworks, or advanced statistical modeling techniques.

What Success Looks Like

  • Trusted advisor for evaluating the financial viability of risk-related business decisions.
  • Reliable owner of frameworks that quantify the economic impact of fraud, risk, and operational investments.
  • Consistent provider of executive-ready insights that balance growth objectives with sustainable risk management.
  • Driver of scalable analytical solutions that improve decision velocity, transparency, and business performance.

Fraud Analytics, Risk Analytics, Fraud Strategy, Risk Economics, Financial Modeling, ROI Analysis, Loss Forecasting, Fraud Prevention, Fintech, SQL, Tableau, Looker, Executive Reporting, Business Intelligence, Risk Management, Payments Risk, Credit Risk, Data Analytics, Financial Planning, Decision Science, Strategy Analytics.

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