The Corporate Treasury Analyst Lead is responsible for sourcing and integrating data from multiple internal and external systems and automating recurring process to support to support the bank’s treasury functions. This role involves building tools for liquidity forecasting, interest rate risk analysis, capital planning, and balance sheet optimization. The lead collaborates with Treasury, Risk, Finance, and Technology teams to deliver data-driven insights and ensure compliance with regulatory requirements.

Salary Range

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.

Duties and Responsibilities:

• Source, extract, and consolidate data from external sources and core treasury systems.
• Build and maintain internal data sources and curated datasets in Databricks ensuring Treasury teams have centralized, high-quality data to support models.
• Develop SQL queries, APIs, and ETL processes to move and transform large datasets.
• Design and implement automated workflows (Python, SQL, Power Automate) to streamline treasury reporting and reduce manual processes.
• Collaborate with cross-functional teams to integrate analytics into treasury processes and reporting.
• Serve as a bridge between Treasury and data engineering teams by developing reusable data products in Databricks.
• Drive innovation in analytics platforms and data visualization tools.
• Ensure model governance, documentation, and validation in line with regulatory expectations.
• Support stress testing and regulatory submissions (e.g., CCAR, DFAST, LCR, NSFR).

• 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.

• Bachelor’s degree in Quantitative Finance, Mathematics, Statistics, or related field; Master’s or PhD preferred.
• 8+ years of experience in analytics, treasury, or risk management within a financial institution.
• Professional certifications such as CFA, FRM, or CQF are advantageous.
• Strong knowledge of regulatory frameworks and model governance standards.