Corporate Trsy Analyst Lead

Old National Bank•Minneapolis, MN

66d•$81,700 - $165,100

About The Position

Old National Bank has been serving clients and communities since 1834. With over $70 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving. We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance. 401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers a variety of Impact Network Groups led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization. We offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values.

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.

Nice To Haves

Professional certifications such as CFA, FRM, or CQF are advantageous.

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).