Fraud Data Analyst Jobs in Texas

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.

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

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

1-2 years of experience in risk management, fraud investigation, or chargebacks

Knowledge of card processing, payment fraud detection or fraud management a plus

Identify fraud patterns and communicate these to team members and management

Experience with Fraud mitigation software a plus

Strong written and verbal communication skills, typing ability, and professional telephone manner

Detail oriented with excellent research, organizational, and problem-solving skills

Advanced knowledge and skill in SQL tools and techniques

Establish standards for requirements gathering, coding, and testing of Data Warehouse deliverables

Provide guidance to less experienced Data Acquisition Analysts and ETL programmers

2+ years of experience in data analytics

Strong organizational, analytical, and interpersonal skills

Excellent written and verbal communication skills

Receives calls from customers and other departments regarding fraud activity.

Makes decisions regarding fraud disconnects, fraud credits, and coordinates with Credit & Collections on accounts with fraudulent activity.

Provides 24 hour on call support for law enforcement in emergency situations.

Assists internal security in investigating suspect fraudulent activity.

Performs other clerical functions. Sorts and/or files documents. May create filing systems or use electronic systems.

Coordinates with other Carriers on shared fraud information.

Bachelor's Degree in Finance, Accounting, Mathematics, Economics, Computer Science, Information Management or Statistics

Experience working with cross-departmental teams with proven collaboration skills.

2+ years experience with SQL, Python, Looker, Tableau, complex Excel functions, and/or other data analysis tools

Experience analyzing large datasets to look for patterns and outliers

Experience working with Machine Learning Modeling and Data Science teams via model and rule creation.

Experience working in a fraud or risk environment

• Knowledge of Banking products and services

• Exceptional written and verbal communication skills

• Strong analytical, interpretive, organizational skills

• Strong attention to detail, ability to prioritize and manage tasks

• Independent decision maker, able to make time-sensitive assessments and articulate findings to senior investigators or managers

• College degree (Business or Criminal Justice) or relevant work experience

Five- seven years of experience dealing with large scale data analysis and data management preferably in financial services.

Experience in creating data quality controls (Collibera knowledge).

Experience in writing complex SQL (Oracle) queries.

Experience in Hadoop/snowflake, parsing JSON/XML structures and dealing with structured and unstructured data.

Experience using tools such as SQL developer, Splunk, Tableau, and Visio

Experience in Data quality and data governance.

Work in SMP to manage and maintain claims and extended warranties.

Strong intellect and aptitude, along with the ability to manage multiple and varied activities.

Good leadership and people skills, effective communication skills, and an ability to prioritize and effectively problem-solve.

Excellent written and verbal skills. Must be able to organize ideas and answers via phone, email or Excel-based applications.

Strong working knowledge of MS Excel and Outlook

Knowledge of the Goodman AS 400 applications including Mapics, Mincron Warranty, Warranty Express, and SMP.

Knowledge of fraud management tool Adyen (What they use), Accertify, Forter or similar tool.

Knowledge of database software and Customer Relationship Management (CRM) tools.

Knowledge of fraud management tool Adyen (What they use), Accertify, Forter or similar tool

Effectively manages incoming communication via multiple channels (phone, email and customer relationship management systems) from both the internal and external customers.

3 – 5 years of Debit/Credit card experience supporting an Ecommerce or Banking business.

Knowledge of fraud detection software, tools, and strategies for preventing eCommerce fraud and mitigating risk.