Vacancy expired!
Job Purpose
The Database Analyst in the Risk Analytics EPayments group is responsible for the health and integrity of the architecture and procession of the data used for analytics. As the resident experts in data management, he has the oversight of all the data systems used for model building and reporting. The DB analyst also identifies new fraud patterns developing in the Fiserv products, takes direct action and submits the new designs to improve the automated risk mitigation policies. Summary of Responsibilities- Architects the data flow for building models and detecting fraud patterns for online payments
- Automates the data collection/transformation/reporting for the Electronic Payment Products
- Is responsible for the risk-mitigation and direct action processes and reports for the EPayments group
- Creates the data structures, procedures and tables used to build the risk mitigation models
- Collects the returns and chargeback information from the application and data services information
- Defines the performance metrics for fraud, including data from ACH transfers, vendors data services and internal data
- Integrates the application data with the performance metrics
- Creates the data inputs for the scoring models
- Identifies fraud patterns using statistical techniques:
- Creates anomaly detection processes on common risk factors, such as text distances on names, frequency counts for email domains, age of profiles, and other attributes
- Evaluates the detection power for variables and attributes
- Designs new attributes and variable definitions to identify fraud events, including but not limited to: registration information, address and contact data, usage patterns
- Provides the specification for the development of new scoring attributes to the developer team
- Designs and runs the reporting architecture
- Creates the data elements, architecture, and reporting logic to be provided for internal and external clients
- Is responsible for the health of the data collection, reporting and timely delivery of client reports
- Consults with internal and external clients on how to reflect the product and risk mitigation policies
- Creates and executes the risk mitigation policies to prevent risky actors from transacting, including suspension CRONS
- Integrates external data from clients to integrate with Fiserv risk data
- Populates the risk mitigation performance-based risk tables to identify at live execution the risky patterns
- Based on the internal and external risk data, designs and maintains direct action policies in the Fiserv systems to prevent fraud events
- Has strong interpersonal and communication skills and the ability to work effectively with a wide range of stakeholders
- Has excellent organizational and self-directed skills - ability to initiate, coordinate and prioritize responsibilities and follow through on tasks and projects.
- Is self-motivated team player with strong work ethic
- Is curious with an interest in continued learning
- Has a data-oriented personality
- Bachelor's Degree in Computer Science, Information Systems, or another related field
- 2+ years' experience in data, analytics or graduate academic environments
- Experience in ORACLE databases, including SQL, PL/SQL, stored procedures and scheduling
- Experience with aggregation functions in ORACLE, indexing, partitions, window aggregations
- Proven ability to work effectively in a team environment as well as independently with minimal supervision
- Excellent understanding of big data technology administration and data management
- Experience with data in fraud or financial systems
- Background in analytics or statistics, or prior experience in Business Intelligence, should be able to find the relevant information to describe a problem and create a summary of the key components to be tracked.
- Experience working with geographically dispersed teams.
- Familiarity with basic concepts of fraud and financial crimes.
- Apply using your legal name
- Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
Vacancy expired!