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Compliance Quantitative Data Analyst
hace 2 meses
About Ouro:
Ouro is a leading global financial services and technology company dedicated to delivering innovative financial empowerment solutions to consumers worldwide. Our financial products and services span prepaid, debit, cross-border payments, and loyalty solutions for consumers and enterprise partners.
Ouro's flagship product Netspend provides prepaid and debit account solutions that connect customers with secure, convenient access to global payment networks, enabling them to manage their money and make everyday purchases. With a nationwide U.S. retail network, customers can purchase and reload Netspend products at 130,000 reload points and over 100,000 distributing locations.
Since our founding in 1999, Ouro products have processed billions of dollars in transaction volume and served millions of customers worldwide. Our company is headquartered in Austin, Texas, with regional offices around the world. Learn more at our website.
About the Role:
We are seeking an experienced Compliance Quantitative Data Analyst to join our Ouro Global Compliance Department. The Compliance Quantitative Data Analyst plays a critical role in developing and supporting our compliance initiatives. This role includes all aspects of the Compliance Department's data needs, including Anti-Money Laundering (AML), Customer Identification Program (CIP), Compliance Testing, and Distributor Due Diligence (DDD). The successful candidate will analyze existing and new business controls processes to maintain and increase efficiencies, analyze compliance with regulatory requirements, benchmark analysis of expected customer behavior, and produce sample data for internal testing and develop ad-hoc reporting as requested from the Compliance department.
Responsibilities:
- Develop, test, monitor, validate, and rationalize AML rules to monitor customer and distributor transaction activity.
- Provide complex data analysis to identify, troubleshoot, resolve, and/or escalate trends that will impact transaction monitoring. Utilize data mining techniques to identify AML risks.
- Provide reporting and analysis of regulatory compliance for internal and external auditors and partners, as well as adherence to internal policies and controls.
- Generate reporting and analysis to provide baseline levels of customer behavior and set upper and lower bounds on suspicious or unusual behavior.
- Interface with Compliance business owners to validate business requirements, share knowledge, manage expectations related to changes in policy, process, procedure, or requests for analysis.
- Create predictive and other analytically derived models for assessing AML risks.
- Identify and recommend new modeling and analytics opportunities.
- Translate high-level business objectives into quantifiable analysis tasks.
Requirements:
- Advanced experience with statistical modeling tools (Python or R preferred).
- Advanced experience with regression analysis, decision trees, clustering, and other statistical modeling.
- Ability to develop new functions and procedures and automate processes preferred (Excel Power Query M or Python preferred).
- Able to extract, transform, and load (ETL) datasets from various sources.
- Able to work with little direct supervision once ownership of a project or task has been assigned.
- Able to work effectively on cross-functional business teams composed of people with diverse backgrounds, some of whom are non-technical.
- Strong presentation development and writing skills (e.g., proficient in Microsoft Excel, PowerPoint, and Word, especially creating summary tables, charts, and pivot tables with Excel).
- Advanced technical and business critical writing skills a plus.
- Graduate degree preferred in Statistics, Math, or similar academic field.
- Bachelor's degree preferred in Statistics, Math, or similar academic field.
- 3-5 years of experience as a Compliance Quantitative Data Analyst.
