Director, Data Analysis - Fraud Data Team Job at Capital One (McLean, Virginia)

Director, Debit Card Fraud Risk

The Fraud Risk and Control’s (FRC) Debit Card Team is responsible for ensuring t...

Location

United States , Westlake; Jersey City; Merrimack; Covington; Smithfield

Salary:

110000.00 - 222000.00 USD / Year

Fidelity Investments

Expiration Date

Until further notice

Requirements

Batchelor degree in economics, finance, data or computer science or similar technical fields
10+ years of work experience in finance and fraud or related fields
Proven experience in fraud management for payment cards in financial services industry
Familiarity with current trends and risks in the Payment Card Industry and debit cards specifically
Hands on experience in generating analytical insights from large scale data using python and SQL or similar programming languages
Experience in project management and problem solving in complex environment
Familiarity with process mapping, control design and fraud investigations
Excellent communication skills and ability to collaborate with a diverse set of key stakeholders

Job Responsibility

Design dashboards, reports and Key Performance Indicators and monitor that fraud losses, customer experience and costs are within the company’s expectations
Use data to generate insights, interpret trends and support root cause analysis
Support strategic changes and initiatives by designing and specifying fraud controls and ensure their effective implementation
Develop policies and procedures, conduct reviews to manage and mitigate fraud
Liaise and collaborate with key partner teams to ensure effective fraud controls are in place for the existing Debit Card Portfolios and for new strategic initiatives
Influence the broader strategic decisions of the Debit Card Product Team by providing fraud control insights and communicate the priorities of the FRC team
Collaborate with partner teams to respond to fraud events, mitigate risk and customer impact

What we offer

Comprehensive health care coverage and emotional well-being support
Market-leading retirement
Generous paid time off and parental leave
Charitable giving employee match program
Educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career

Fulltime

Director - Corporate Planning & Analysis

American Express invites you to share your resume so you can be considered for f...

Location

United States , New York; Phoenix

Salary:

Not provided

Amex

Expiration Date

Until further notice

Requirements

7+ years of experience in Finance, Data Analytics, and Profitability analysis
Strong analytical skills with the ability to think critically and creatively about business challenges, identify high-impact analytical opportunities, manipulate large datasets, interpret trends, and generate actionable insights
Exceptional attention to detail with demonstrated organizational, problem-solving, and execution capabilities
Excellent communication skills, with the ability to synthesize complex data into clear, compelling narratives and articulate key insights to diverse audiences
Ability to explain complex quantitative and mathematical concepts to stakeholders with varying levels of technical expertise
Strong understanding of driver-based modeling, probabilistic forecasting, and scenario simulation frameworks
Demonstrated ability to work with data science and technology partners in deploying AI-enabled analytics
Experience operating in regulated environments with model governance, risk management, or control frameworks
Bachelor’s degree in quantitative discipline such as Applied Mathematics, Physics, Engineering, Computer Science, Statistics, Economics, or related field

Job Responsibility

Deliver accurate, timely forecasts and variance analysis to support executive and Board-level decision-making
Develop driver-based models and scenario analyses to assess risks and opportunities
Leverage data, technology, and analytics tools to improve forecasting precision and efficiency
Partner with business units, Enterprise Services, and Credit & Fraud Risk Finance to provide actionable financial insights
Partner with stakeholders across Finance, Risk, Treasury, Technologies, and the TM1 Development team to deliver on forecasting goals
Support capital allocation, performance optimization, and strategic planning initiatives
Contribute to continuous improvement of FP&A processes, tools, and reporting. Proactively identify and eliminate manual, non-value-added BAU activities
Lead the design and refinement of driver-based forecasting models that link operational levers to P&L and capital outcomes
Interpreting and challenging AI-generated forecasts, ensuring economic logic, transparency, and regulatory soundness

What we offer

Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities

Fraud Intelligence Lead

Airbnb was born in 2007 when two hosts welcomed three guests to their San Franci...

Location

United States

Salary:

125000.00 - 145000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

6+ years of experience in fraud intelligence, risk analytics, or related fields (e.g., financial crime, marketplace fraud, platform abuse)
Demonstrated expertise connecting trend-level insights to broader fraud patterns and systemic risk, rather than just resolving individual cases
Advanced proficiency with SQL and Python for analysis
experience building dashboards and visualizations in Tableau
Deep understanding of Account Takeover (ATO), Scams, behavioral analysis, and the development of risk controls
Proven ability to produce clear, structured investigative writing and present findings to senior leadership, including Directors and above
Working knowledge of cyber risk frameworks, digital forensics, and platform security
certifications such as CISSP, CHFI, CEH, GIAC, CFE, or Security+ are preferred
Track record of driving cross-functional initiatives and influencing outcomes without formal authority
Experience collaborating with international and cross-functional partners to drive policy, process, and technology improvements

Job Responsibility

Analyze large-scale fraud signals and translate complex data into platform-level controls, rules, and policies to stop bad actors upstream
Analyze fraud trends and patterns using SQL and Python, utilizing tools to visualize findings and drive data-informed decision-making
Collaborate and manage relationships with data, product, trust & safety, legal, and policy teams, as well as external vendors, to design and implement new fraud countermeasures and automated defenses
Develop and present clear investigative reports and fraud intelligence summaries to leadership and cross-functional partners using Slides and data visualization tools
Identify automation opportunities to streamline detection processes and reduce manual operational lift
build and develop holistic detection systems through prototyping tooling and defining data requirements
Guide and mentor the team, improving individual capabilities and overall program effectiveness

What we offer

Bonus
Equity
Employee Travel Credits

Fulltime

Senior Compliance & Fraud Specialist - eCommerce / Performance Marketing

The eCommerce Compliance & Fraud Specialist (internal job title: Senior Network ...

Location

United Kingdom , London

Salary:

Not provided

Awin Global

Expiration Date

Until further notice

Requirements

3+ years of experience in affiliate marketing, fraud prevention, adtech, or risk/compliance roles within digital ecosystems
Strong, hands-on experience with affiliate fraud detection and prevention, including knowledge of common fraud tactics and evolving methodologies
Deep understanding of CPA, CPC, and performance-based marketing models
Strong knowledge of affiliate tracking technologies, attribution logic, and conversion flows
Advanced analytical capabilities with experience in SQL or equivalent query-based analysis
Data visualization tools (Power BI, Tableau, etc.)
Proven ability to analyze complex datasets and identify non-obvious patterns
Experience working with fraud detection tools, web intelligence platforms (e.g., SimilarWeb), and tracking diagnostics
Experience with workflow/ticketing systems (e.g., Salesforce, Zendesk, Asana)
Strong problem-solving skills with a proactive, investigative mindset

Job Responsibility

Lead complex, high-impact fraud investigations across publishers, partners, and traffic sources
Identify sophisticated fraud schemes (e.g., attribution manipulation, cookie stuffing, incentive abuse, lead fraud, paid search abuse, extension-based activity, etc.)
Act as an escalation point for challenging or ambiguous cases within the team
Make informed enforcement decisions balancing risk, commercial impact, and fairness
Conduct in-depth reviews of publisher business models, traffic acquisition strategies, and monetization methods
Evaluate CPA, CPC, and hybrid performance models for risk exposure and abuse potential
Monitor lifecycle and behavioral signals across publisher activity to proactively identify risks
Partner closely with internal stakeholders to assess onboarding and ongoing publisher quality
Perform advanced data analysis using tools such as SQL, Power BI, DataBricks, or equivalent platforms
Build and refine repeatable analytical frameworks for fraud detection and monitoring

What we offer

Flexi-Week: a flexible four-day Flexi-Week at full pay and with no reduction to annual holiday allowance
Variety of different paid special leaves
Remote Working Allowance: monthly allowance to cover part of running costs
Support in setting up remote workspace appropriately
Flexi-Office: hybrid/remote work possibilities to work across Awin regions
Development: access to Awin Academy training suite covering a wide range of skills
Virtual social activities via 'Life @ Awin' hub
Diverse and inclusive culture

Fulltime

Senior eCommerce Compliance & Fraud Specialist

The eCommerce Compliance & Fraud Specialist (internal job title: Senior Network ...

Location

Poland , Warsaw

Salary:

Not provided

Awin Global

Expiration Date

Until further notice

Requirements

3+ years of experience in affiliate marketing, fraud prevention, adtech, or risk/compliance roles within digital ecosystems
Strong, hands-on experience with affiliate fraud detection and prevention, including knowledge of common fraud tactics and evolving methodologies
Deep understanding of CPA, CPC, and performance-based marketing models
Strong knowledge of affiliate tracking technologies, attribution logic, and conversion flows
Advanced analytical capabilities with experience in SQL or equivalent query-based analysis and Data visualization tools (Power BI, Tableau, etc.)
Proven ability to analyze complex datasets and identify non-obvious patterns
Experience working with fraud detection tools, web intelligence platforms (e.g., SimilarWeb), and tracking diagnostics
Familiarity with AI/ML concepts in fraud detection is a plus
Experience with workflow/ticketing systems (e.g., Salesforce, Zendesk, Asana)
Strong problem-solving skills with a proactive, investigative mindset

Job Responsibility

Lead complex, high-impact fraud investigations across publishers, partners, and traffic sources
Identify sophisticated fraud schemes
Act as an escalation point for challenging or ambiguous cases
Make informed enforcement decisions
Conduct in-depth reviews of publisher business models, traffic acquisition strategies, and monetization methods
Evaluate CPA, CPC, and hybrid performance models for risk exposure
Monitor lifecycle and behavioral signals across publisher activity
Partner closely with internal stakeholders
Perform advanced data analysis using SQL, Power BI, DataBricks
Build and refine analytical frameworks for fraud detection

What we offer

Flexi-Week and Work-Life Balance with a flexible four-day Flexi-Week at full pay
Remote Working Allowance
Flexi-Office with hybrid/remote work possibilities
Extensive training suite Awin Academy

Fulltime

Senior eCommerce Compliance & Fraud Specialist

The eCommerce Compliance & Fraud Specialist (internal job title: Senior Network ...

Location

Italy , Milan

Salary:

Not provided

Awin Global

Expiration Date

Until further notice

Requirements

3+ years of experience in affiliate marketing, fraud prevention, adtech, or risk/compliance roles within digital ecosystems
Strong, hands-on experience with affiliate fraud detection and prevention, including knowledge of common fraud tactics and evolving methodologies
Deep understanding of CPA, CPC, and performance-based marketing models
Strong knowledge of affiliate tracking technologies, attribution logic, and conversion flows
Advanced analytical capabilities with experience in SQL or equivalent query-based analysis
Data visualization tools (Power BI, Tableau, etc.)
Proven ability to analyze complex datasets and identify non-obvious patterns
Experience working with fraud detection tools, web intelligence platforms (e.g., SimilarWeb), and tracking diagnostics
Familiarity with AI/ML concepts in fraud detection is a plus
Experience with workflow/ticketing systems (e.g., Salesforce, Zendesk, Asana)

Job Responsibility

Lead complex fraud investigations across publishers, partners, and traffic sources
Identify sophisticated fraud schemes
Act as an escalation point for challenging cases
Make informed enforcement decisions balancing risk, commercial impact, and fairness
Conduct in-depth reviews of publisher business models, traffic acquisition strategies, and monetization methods
Evaluate CPA, CPC, and hybrid performance models for risk exposure and abuse potential
Monitor lifecycle and behavioral signals across publisher activity to proactively identify risks
Partner closely with internal stakeholders to assess onboarding and ongoing publisher quality
Perform advanced data analysis using tools such as SQL, Power BI, DataBricks, or equivalent platforms
Build and refine repeatable analytical frameworks for fraud detection and monitoring

What we offer

Flexi-Week (4-day work week at full pay)
Remote Working Allowance (monthly allowance)
Flexi-Office with hybrid/remote work possibilities
Awin Academy training suite for professional and personal development
Virtual 'Life @ Awin' hub for social activities
Diversity & Inclusion initiatives

Fulltime

Senior Ecommerce Fraud & Compliance Specialist

The Senior Network Quality Intelligence Specialist plays a critical role in safe...

Location

United States , Chicago

Salary:

80000.00 - 90000.00 USD / Year

Awin Global

Expiration Date

Until further notice

Requirements

3+ years of experience in affiliate marketing, fraud prevention, adtech, or risk/compliance roles within digital ecosystems
Strong, hands-on experience with affiliate fraud detection and prevention, including knowledge of common fraud tactics and evolving methodologies
Deep understanding of CPA, CPC, and performance-based marketing models
Strong knowledge of affiliate tracking technologies, attribution logic, and conversion flows
Advanced analytical capabilities with experience in: SQL or equivalent query-based analysis
Data visualization tools (Power BI, Tableau, etc.)
Proven ability to analyze complex datasets and identify non-obvious patterns
Experience working with fraud detection tools, web intelligence platforms (e.g., SimilarWeb), and tracking diagnostics
Familiarity with AI/ML concepts in fraud detection is a plus
Experience with workflow/ticketing systems (e.g., Salesforce, Zendesk, Asana)

Job Responsibility

Lead complex, high-impact fraud investigations across publishers, partners, and traffic sources
Identify sophisticated fraud schemes (e.g., attribution manipulation, cookie stuffing, incentive abuse, lead fraud, paid search abuse, extension-based activity, etc.)
Act as an escalation point for challenging or ambiguous cases within the team
Make informed enforcement decisions balancing risk, commercial impact, and fairness
Conduct in-depth reviews of publisher business models, traffic acquisition strategies, and monetization methods
Evaluate CPA, CPC, and hybrid performance models for risk exposure and abuse potential
Monitor lifecycle and behavioral signals across publisher activity to proactively identify risks
Partner closely with internal stakeholders to assess onboarding and ongoing publisher quality
Perform advanced data analysis using tools such as SQL, Power BI, DataBricks, or equivalent platforms
Build and refine repeatable analytical frameworks for fraud detection and monitoring

What we offer

Flexi-Week and Work-Life Balance: we prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance
We also offer a variety of different paid special leaves
Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs
In addition, we will support you in setting up your remote workspace appropriately
Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
Development: We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development

Fulltime

Director, Customer Onboarding and Partnership

Location

United States , O Fallon

Salary:

151000.00 - 249000.00 USD / Year

Mastercard

Expiration Date

Until further notice

Requirements

Extensive experience in fraud management within card payments and transaction processing, including authentication and authorization
Strong understanding of payment scheme rules
Direct experience working with acquirers on merchant fraud and compliance with Mastercard standards
Experience selling tools and solutions related to fraud prevention, compliance, and merchant risk management
Familiarity with regulatory requirements and best practices in the North American market for high-risk merchants
Ability to travel (50%+) within the NAM region as needed for customer engagement, training, and industry events
Demonstrated leadership in managing high-risk portfolios and specialty merchant categories
Proven track record in regulatory engagement and industry collaboration
Experience in change management and adapting to evolving payment industry trends
Bachelor’s degree

Job Responsibility

Deliver comprehensive training sessions for Acquirers on Specialty Merchant requirements to ensure compliance and operational excellence
Educate acquirers on identifying and managing fraudulent merchants, including risk assessment and appropriate mitigation strategies
Provide expertise in specialty merchant risk management, supporting acquirers in adapting to new risk signals and regulatory changes
Design internal and external reports to identify areas of poor performance and prioritize urgent remediation
Engage directly with customers to address performance issues, including rule violations and compliance breaches
Work with internal stakeholders to optimize specialty merchant program (expanding categories, identifying missing registrations, maintaining standards.)
Lead initiatives in fraud prevention by providing up-to-date guidance on industry trends, emerging threats, and effective countermeasures
Monitor ongoing compliance with Mastercard standards, ensuring acquirers uphold high standards in fraud prevention and merchant management

What we offer

insurance (including medical, prescription drug, dental, vision, disability, life insurance)
flexible spending account and health savings account
paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire
10 annual paid U.S. observed holidays
401k with a best-in-class company match
deferred compensation for eligible roles
fitness reimbursement or on-site fitness facilities
eligibility for tuition reimbursement

Fulltime

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Director, Data Analysis - Fraud Data Team

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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