Corporate Treasury Analytics Lead

Responsibilities

• Sources, extracts, and consolidates data from external sources and core treasury systems.
• Builds and maintains internal data sources and curated datasets in Databricks ensuring Treasury teams have centralized, high-quality data to support models.
• Develops SQL queries, APIs, and ETL processes to move and transform large datasets.
• Designs and implements automated workflows (Python, SQL, Power Automate) to streamline treasury reporting and reduce manual processes.
• Collaborates with cross-functional teams to integrate analytics into treasury processes and reporting.
• Serves as a bridge between Treasury and data engineering teams by developing reusable data products in Databricks.
• Drives innovation in analytics platforms and data visualization tools.
• Ensures model governance, documentation, and validation in line with regulatory expectations.
• Supports stress testing and regulatory submissions (e.g., CCAR, DFAST, LCR, NSFR).

Qualifications and Education Requirements

• Bachelor’s degree in Analytics, Finance, Mathematics, Statistics, or related field.
• 8+ years of experience in analytics, treasury, or risk management within a financial institution.
• Strong knowledge of regulatory frameworks and model governance standards.

Key Competencies

• Strong understanding of treasury functions and financial risk management.
• Proficiency in programming languages and tools (e.g., Python, R, SQL, MATLAB).
• Experience with data visualization platforms (e.g., Tableau, Power BI).
• Excellent communication and stakeholder engagement skills.
• Ability to manage multiple projects and deliver high-quality results.

Pay

The salary range for this position is $81,700 - $165,100 per year plus bonus. The base salary indicated for this position reflects the compensation range applicable to all levels of the role across the United States. Actual salary offers within this range may vary based on a number of factors, including the specific responsibilities of the position, the candidate’s relevant skills and professional experience, educational qualifications, and geographic location.