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Enterprise Fraud Strategy Data Analyst Jobs

Data Analyst / Fraud Analyst
By NeuroID At Whitefish, MT, United States
Please note this position is fully remote**
2+ years of experience in SQL
2+ years of experience with programming using R or Python
2+ years of experience leading analyses with a track record of business impact
Financial Services / Fintech / Fraud or Identity sector experience strongly preferred
Data literacy - ability to drive insights and link to recommendations and actions
Enterprise Project Strategy Analyst (Retail Or Fashion Exp)
By Tory Burch At New York, NY, United States
Experience working with many functional stakeholders - including but not limited to Supply Chain, Planning, Buying, and Merchandising
Strong organizational skills and focus on project delivery
Our culture is welcoming and inclusive -- everyone is empowered to make a difference.
We have the best team in the world and believe in paying competitively and rewarding for high performance.
We love seeing our employees wear our beautiful collections. You’ll receive a generous employee discount and access to exclusive sample sales.
We are invested in your professional growth – you’ll have access to free executive coaching on-demand.
Data Analyst - Enterprise Fraud Strategy Analytics
By PNC At Birmingham, AL, United States
Manages data definitions and data traceability within data repository to improve documentation and coordination.
Provides support to the business and other internal IT organizations regarding data definition standards, architectures, and policies.
Provides support to business users for mining and interpretation of warehoused and operational data.
Plans and performs activities regarding designed data models for systems development.
Resolves metadata and data sourcing problems. Maintains metadata and data dictionaries.
Data Analyst - Enterprise Fraud Strategy Analytics
By PNC At Farmers Branch, TX, United States
Manages data definitions and data traceability within data repository to improve documentation and coordination.
Provides support to the business and other internal IT organizations regarding data definition standards, architectures, and policies.
Provides support to business users for mining and interpretation of warehoused and operational data.
Plans and performs activities regarding designed data models for systems development.
Resolves metadata and data sourcing problems. Maintains metadata and data dictionaries.
Data Analyst - Enterprise Fraud Strategy Analytics
By PNC At Cleveland, OH, United States
Manages data definitions and data traceability within data repository to improve documentation and coordination.
Provides support to the business and other internal IT organizations regarding data definition standards, architectures, and policies.
Provides support to business users for mining and interpretation of warehoused and operational data.
Plans and performs activities regarding designed data models for systems development.
Resolves metadata and data sourcing problems. Maintains metadata and data dictionaries.
to gain understanding of how PNC may use or disclose your personal information in our hiring practices.
Fraud Data Analyst Jobs
By Home Depot / THD At , Atlanta, 30301
Strong knowledge of and experience with reporting packages (Business Objects, Tableau, etc.), databases (SQL etc.), programming (XML, ETL frameworks)
Knowledge of statistics and experience using statistical packages for analyzing data sets (Excel, SPSS, SAS etc.)
This Position typically reports to Payments Fraud Manager
3+ years experience of work in data or analytical fields
Experience in internet-based risk and fraud mitigation
No additional years of experience
Portfolio Analyst And Strategy Analyst (Card Fraud Data Analyst)
By PNC Financial Services Group At , Birmingham, 35233
Work with monitoring team to identify fraud events
Analyze data to identify and understand fraud patterns
Analyze & assessing fraud impacts
Proposing rules and/or other countermeasures to address fraud attack
Measuring the effectiveness of prospective fraud rules and documenting rules for governance approval
Collaborate with other EFO, security, technology, and product partners on comprehensive solutions
Data Analyst, Payments Fraud
By Etsy At , Brooklyn, 11201, Ny $104,000 - $136,000 a year
Produce regular reports and analysis to communicate fraud trends and risks to management
Build foundational scripts using SQL and database skills
Understanding the nuances of Etsy’s payment processing data and the myriad interactions with our financial systems.
Building rich data sources of truth that interweave complex payments data and foundational data from across the Etsy ecosystem
Finding and advocating for outstanding opportunities for Etsy’s growth that move critical metrics
Analyze data related to payments to identify potential fraud indicators
Svp, Enterprise Data Governance & Strategy
By State Street At New York, NY, United States
Manage roadmap of centralized enterprise reference data sources such as Master Data Management and client hierarchies
Execute the Bank’s Enterprise Data strategy across policy, process, initiatives, technology, and platforms.
Ensure appropriate definition and execution of regulatory-driven programs to ensure timely and satisfactory compliance.
Ensure proper architecture and prioritization of enterprise Data Domains and support of Data Domain owners and stakeholders.
Take guidance from and influence GTS Enterprise Architecture target state roadmaps to support strategic enterprise data goals.
Portfolio Analytics And Strategy Analyst - Enterprise Fraud (Sql, Toad, Python, R, Sas)
By PNC At Birmingham, AL, United States

Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We ...

Data Strategy & Literacy Analyst
By Capital Group At Irvine, CA, United States
You will need to have a minimum of 1-2 years of meaningful experience in project management or business management
You will support p rovides support and coordination for certain EDO operational and business management functions .
You will demonstrate quick problem-solving skills and the ability to respond creatively to complex issues, using sound judgement .
You will m onitor and analyze various operational reports and metrics to guide continuous improvement and operational effectiveness/efficiency .
You will s upport Data Literacy Training and development programs .
"I can succeed as a Data Product Associate at Capital Group."
Manager, Enterprise Strategy & Operations
By DoorDash At New York, NY, United States
Optimize – Build the best merchant acquisition engine so DoorDash continues to offer the highest quality selection for its customers
You have experience authoring strategic documentation and plans aligned to top company priorities
Strategize – Devise and execute initiatives against the overall sales org strategy
Analyze – Build models to evaluate the economics, value, and opportunity costs of strategic initiatives
You’re Excited About This Opportunity Because You Will…
We’re Excited About You Because…
Platform Solutions, Enterprise Partnerships-Richardson-Vice President-Fraud Strategy
By Goldman Sachs At Richardson, TX, United States
2+ years of experience in fraud risk management with financial products or product owner/capability development roles
2+ years of experience in fraud risk management with consumer financial products
Transaction Banking, a cash management and payments platform for clients building a corporate treasury system
Knowledge of fraud risk vendors and technology in consumer finance or digital services industry
Merchant Point-of-Sale Lending, a platform that provides custom credit financing for home improvement merchants to offer directly to their customers
ETF Accelerator, a platform for clients to launch, list and manage exchange-traded funds
Fraud Data Analyst Jobs
By The Home Depot At Atlanta, GA, United States
Strong knowledge of and experience with reporting packages (Business Objects, Tableau, etc.), databases (SQL etc.), programming (XML, ETL frameworks)
Knowledge of statistics and experience using statistical packages for analyzing data sets (Excel, SPSS, SAS etc.)
This Position typically reports to Payments Fraud Manager
3+ years experience of work in data or analytical fields
Experience in internet-based risk and fraud mitigation
No additional years of experience
Cyber Fraud Data Analyst
By SoFi At Cottonwood Heights, UT, United States
Contribute to the growth of the team's capabilities and understanding of fraud through Cyber specific research and learning activities.
4+ years of data analysis experience preferably with focus on fraud prevention and/or cyber
A degree in a quantitative field of study (e.g., Statistics, Finance, Economics, Math, Sciences, Engineering)
Experience and understanding of working in either cyber-fraud intelligence collection & analysis or cyber-enabled fraud prevention and detection
Experience working with multiple cross-functional teams to deliver results
Experience in banking and/or fintech industry
Cyber Fraud Data Analyst
By SoFi At Jacksonville, FL, United States
Contribute to the growth of the team's capabilities and understanding of fraud through Cyber specific research and learning activities.
4+ years of data analysis experience preferably with focus on fraud prevention and/or cyber
A degree in a quantitative field of study (e.g., Statistics, Finance, Economics, Math, Sciences, Engineering)
Experience and understanding of working in either cyber-fraud intelligence collection & analysis or cyber-enabled fraud prevention and detection
Experience working with multiple cross-functional teams to deliver results
Experience in banking and/or fintech industry
Cyber Fraud Data Analyst
By SoFi At Frisco, TX, United States
Contribute to the growth of the team's capabilities and understanding of fraud through Cyber specific research and learning activities.
4+ years of data analysis experience preferably with focus on fraud prevention and/or cyber
A degree in a quantitative field of study (e.g., Statistics, Finance, Economics, Math, Sciences, Engineering)
Experience and understanding of working in either cyber-fraud intelligence collection & analysis or cyber-enabled fraud prevention and detection
Experience working with multiple cross-functional teams to deliver results
Experience in banking and/or fintech industry
Cyber Fraud Data Analyst
By SoFi At Charlotte, NC, United States
Contribute to the growth of the team's capabilities and understanding of fraud through Cyber specific research and learning activities.
4+ years of data analysis experience preferably with focus on fraud prevention and/or cyber
A degree in a quantitative field of study (e.g., Statistics, Finance, Economics, Math, Sciences, Engineering)
Experience and understanding of working in either cyber-fraud intelligence collection & analysis or cyber-enabled fraud prevention and detection
Experience working with multiple cross-functional teams to deliver results
Experience in banking and/or fintech industry
Cyber Fraud Data Analyst
By SoFi At United States
Contribute to the growth of the team's capabilities and understanding of fraud through Cyber specific research and learning activities.
4+ years of data analysis experience preferably with focus on fraud prevention and/or cyber
A degree in a quantitative field of study (e.g., Statistics, Finance, Economics, Math, Sciences, Engineering)
Experience and understanding of working in either cyber-fraud intelligence collection & analysis or cyber-enabled fraud prevention and detection
Experience working with multiple cross-functional teams to deliver results
Experience in banking and/or fintech industry
Data Analyst - Enterprise Commercial Analyst
By M&T Bank At Wilmington, DE, United States
Basic knowledge of data management
Knowledge of Commercial and Equipment Finance Data
You will refine data requirements, identify data sources, design & validate data objects, and enhance the Commercial Enterprise Data Platform.
You will translate user stories and business requirements into technical requirements.
Intermediate skills in Structured Query Language (SQL)
Basic knowledge of statistics, data science techniques and tools