You are a strategic thinker passionate about driving solutions in Automation . You have found the right team.

As a Automation Analyst in our Finance team, you will spend each day defining, refining and delivering set goals for our firm . As an Analyst in the Transformation Team within the Treasury & Execution Middle Office, you will collaborate with various internal teams to develop scalable, end-to-end solutions. These solutions will optimize the use of financial data assets, enhance human capital productivity, support process improvement, and ensure robust controls. You will optimize the use of financial data assets, enhance human capital productivity, and support process improvement. This role provides an exciting opportunity to work with cutting-edge technologies and deliver impactful financial insights

Job Responsibilities:

Collaborate with partners to understand business needs and work with Corporate Technology and self-service technologies to design and implement solutions.  Enhance the delivery of financial and business information across key deliverables. Develop Intelligent Automation solutions using Python as well as various low-code/no-code tools, and support the end-to-end System Development Life Cycle.  Deliver Python-based solutions to reduce manual work and enhance analytics Collaborate with stakeholders and lead developers to ensure requirements are accurately captured and solutions meet client needs. Communicate open items, issues, and deadlines clearly and effectively. Lead development, non-development, and training initiatives that add value to client service delivery. Support the end-to-end solution delivery life cycle. Provide ongoing support to end users for existing solutions.

Required Qualifications, Capabilities, and Skills:

Familiarity with data analytics, process automation, data visualization tools, or any programming language (e.g., Alteryx, Xceptor, Tableau, UiPath, VBA, SQL).  Bachelor’s degree with a focus on Finance and/or Information Systems. Experience with Alteryx, Xceptor, Tableau, and database/cloud management. Willingness to learn self-service data analytics and process automation tools, as well as the basics of project management and business analysis. Ability to work in a fast-paced, results-driven environment. Ability to capture business requirements and translate them into technology standards.

Preferred Qualifications, Capabilities, and Skills:

Strong knowledge of Python is essential.