This position is within the International Compliance team, responsible for managing and maintaining the Organized Data Layers that support International Compliance Data Requirements across CICO, ICT, LECO and LOBCO. It has significant business, regulatory, and operational impact, as it underpins several critical deliverables, including:
• Regulatory reporting and associated compliance obligations.
• Servicing data requests for International Compliance Testing reviews, including recurring AML reviews.
• Operational reporting related to alerts and case management platforms such as Cadence and Bridger.
• Supporting data driven compliance monitoring, risk assessment, and monitoring activities.
Responsibilities:
- The primary responsibility will be managing and maintaining the Organized Data Layers that support International Compliance Data Requirements, including ad hoc data driven analysis, on American Express systems.
- Providing analytical support in the evaluation of various general credit, underwriting, customer management, and compliance-related policies and banking regulations.
- Building transactional testing capabilities for the bank and continuously following up on exceptions generated through this capability.
- Working with business partners to identify and evaluate means of new system-assisted testing for ICT reviews, CICO Alert Analysis, Regulatory Reporting
- Effectively utilize and promote disciplined project methodologies to facilitate the design, implementation, and control of system testing projects.
- Potentially support special projects, compile data and prepare reports for senior management and other personnel.
- Maintain necessary records and files to assure efficient and consistent reporting of compliance efforts.
- Collaborating with risk, compliance, and business partners across multiple groups to ensure adherence to Bank policy and banking laws and regulations.
- The position will interface regularly with business partners, examiners/auditors, and third-party vendors.
Minimum Qualifications:
The qualified individual will have minimum 6 years of experience
- Demonstrated proficiency using SQL, a variety of databases, and comfort and ease in accurately manipulating large datasets
- Proficiency with Hive / HQL, Python, Jupyter notebooks, Spark, Big Query
- Familiarity with High Density File Systems (Big Data) such as Hadoop, and the tools required to import, export, and work with big data environments
- Experience with Teradata and UNIX is desired
- Proficiency with statistical methods and analysis
- Strong analytical and project management skills, with a track record of driving results and problem solving.
- Excellent organization, prioritization and collaboration skills are a must.
- The candidate should be a highly motivated self-starter able to operate on multiple fronts with careful attention to detail
- Undergraduate Degree in a quantitative field or equivalent work experience is required
Critical factors to success:
- Possess strong interpersonal, leadership and change management skills, as well as strong presentation and communication skills (written and verbal)
- Be self-motivated, dependable, adaptable and detail oriented with a proven ability to work independently or within a team environment as required
- Have a demonstrated ability to think conceptually, using strong analytical skills
- Be able to explore and deduce comprehension of new unfamiliar datasets
- Possess a strong understanding of bank systems and processes; strong computer knowledge; excellent MS Word, Excel, Visio and PowerPoint skills
- Experience with machine learning algorithms preferred
- Knowledge of IBM mainframe is desired but not required
- CRCM, CIA, CAMS, CPA or related designation/certification is helpful but not required