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Team Assistant
American Express. Fulfill ICT data requests according to the annual periodic ICT testing plan .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates proficiency in SQL and Python for data manipulation and analysis, with strong analytical skills to derive insights from large datasets. Collaborates effectively with compliance and risk teams to ensure adherence to banking regulations and policies.
Highest-signal resume keywords
SQL ProficiencyPython ProgrammingData AnalysisRegulatory ComplianceMachine Learning Algorithms
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonData ManipulationData AnalysisMachine Learning AlgorithmsGoogle BigQueryJupyter NotebooksAI Language ModelsData GovernanceData Lineage
Soft Skills
Analytical SkillsOrganizationCollaborationAttention to DetailProblem Solving
Tools & Technologies
Google BigQueryJupyter NotebooksMS 365AI Language Models
Industry Keywords
Compliance ReviewsBanking RegulationsData StewardshipRisk ManagementBank Systems
Tech Stack
Tools & technologiesBigQueryPythonSQL
About the role
Key responsibilities & impact- Fulfill ICT data requests according to the annual periodic ICT testing plan
- Source, validate, and deliver data for AML, sanctions, and other compliance reviews
- Support recurring and ad hoc regulatory requests
- Provide data lineage, governance, and traceability with approvals from relevant data stewards and custodians
- Work with business partners to identify and evaluate new system-assisted testing methods for ICT reviews
- Maintain records and files for efficient and consistent reporting of compliance efforts
- Collaborate with risk, compliance, and business partners across multiple groups to ensure adherence to bank policy and banking laws and regulations
Requirements
What you’ll need- Minimum 3-4 years of experience
- Demonstrated proficiency using SQL and a variety of databases
- Ability to accurately manipulate large datasets
- Proficiency in Python, Jupyter notebooks, Google BigQuery, and AI language models such as ChatGPT, Claude, and Copilot
- Strong analytical skills and a track record of driving results and problem solving
- Excellent organization, prioritization, and collaboration skills
- Ability to operate on multiple fronts with careful attention to detail
- Undergraduate degree in a quantitative field or equivalent work experience is required
- Ability to work independently or within a team environment
- Ability to explore and comprehend unfamiliar datasets and generate regulatory insights and patterns from big data
- Strong understanding of bank systems and processes and banking products
- Strong computer knowledge and excellent MS 365 skills
- Flexibility to work 9:00am-6:00pm or, based on business requirements, 1:00pm-10:00pm
- Experience with machine learning algorithms preferred
Benefits
Comp & perks- Competitive base salaries
- Bonus incentives
- Support for financial well-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- Generous paid parental leave policies (depending on your location)
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities