IT Data Specialist
Core
Design, develop, and maintain data controls and processes to ensure data integrity for Financial Crime & Risk Management systems, specifically processing bank payments through behavior detection algorithms.
Role type
Senior IT Data Specialist (Financial Crime & Risk Management)
Builds
Data pipelines, data quality controls, and ETL processes for FCRM systems
Domain
Banking / Financial Crime & Risk Management / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data profiling, Data quality rules design, ETL development, SQL query optimization, Stored procedures, Database design, Python scripting, Data wrangling, Root cause analysis, Source to Target mapping
Preferred skills
Azure Data Lake Storage (ADLS), PySpark, Pandas, Polars, NoSQL databases, Payment messaging formats (Swift, ACH, Fedwire)
Technologies
Oracle, Azure Synapse Serverless SQL, Databricks SQL, PostgreSQL, MySQL, SQL Server, MongoDB, Redis
Responsibilities
Design and implement data controls to ensure data integrity from source to target; Lead data initiatives requiring collaboration with global business and technology teams; Troubleshoot database and data pipeline issues; Perform data profiling and root cause analysis for data issues; Automate manual data processing tasks; Collaborate on integrating databases with applications and analytics platforms; Develop metrics to measure data quality across source systems.
Seniority
Senior, hands-on IC