Traded Products Business Intelligence Lead - Wholesale Credit Risk - Vice President

What you'll do

• Own analytical requirements, priorities, and roadmaps for assigned data products; translate user needs into model requirements.
• Partner with Technology to deliver and validate Databricks tables and analytical models for ThoughtSpot.
• Rationalize legacy reporting, define data quality and control needs, and promote governed self-service analytics.

What they ask for

• 7 plus years of progressive experience with traded products and complex financial data in credit risk, product analysis, data architecture, or a related discipline within a financial institution.
• Broad understanding of traded product families and their data representation, plus foundational knowledge of credit risk exposure concepts.
• Ability to translate business questions into analytical model requirements and guide implementation and validation with technology teams.
• Strong SQL and data analysis proficiency; understanding of data quality, reconciliation, ownership, lineage, and controls.

Nice to have

• Experience with self-service BI, semantic layers, or governed BI assets in ThoughtSpot or a comparable platform.
• Experience with Databricks or a comparable cloud data platform, Unity Catalog, data mesh concepts, or AI-powered tools including large language models.

Pay

$118,750.00-$195,000.00 USD base salary

Tools

SQL, Databricks, ThoughtSpot, Unity Catalog

AI focus

Apply AI-powered tools, including large language models, to improve analysis, prototyping, or documentation, while validating outputs and following information security requirements.