Job Summary

The Division of Data (DoD) is headed by the Chief Data Officer and serves as the leading authority on developing, implementing, and operating the Commission's data strategies. The Division is comprised of the Data Operations and Standards Branch (DOSB) and the Enterprise Data Analytics (EDA) section. This position is in the Market Data Operations Section within the Data Operations& Standards Branch.

Job Description

CT – 14 Level: To qualify for the CT-14 level you must have at least one year of specialized experience equivalent to the next lower grade (GS/CT-13 level). Specialized experience is defined as that through which one has gained experience: - Analyzing and applying knowledge of the interrelationships between Financial Regulatory data systems, or rapidly acquiring such knowledge, to design and implement procedures that optimize data utility and safeguard data integrity. - Delivering proven results by leveraging analytic programming languages – particularly Python – in operational or production environments in the Financial Regulatory environment to streamline processes, automate reporting, and enhance data analysis. - Identifying extracting and integrating relevant information from multiple financial regulatory data sources; selecting optimal analytic methods; and anticipating emerging issues or future needs related to data quality and reporting compliance. - Designing, deploying, and maintaining dynamic Python-based analytic tools and automated solutions to support complex data monitoring or reporting functions and advance organizational compliance objectives. - Applying enforcement and/or compliance principles, concepts, methodologies, and laws in the Financial Regulatory environment to develop new approaches, methods, or procedures in data gathering and analysis techniques, and using these approaches to recognize and resolve discrepancies and/or inconsistencies among findings, and working to obtain and/or reconstruct missing or withheld documents and information. - Analyzing complex data to regularly and repeatedly generate industry facing reports which describes activity in the financial regulatory space. Demonstrated skill in tracing data related issues in external facing data back to their origin in data received by financial regulatory institutions, and then resolving those issues by working with the entities that provided the data.