Capacity Planning Engineer

Are you ready to make an impact at DTCC Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve. The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance. Comprehensive health and life insurance and well-being benefits, based on location. Pension / Retirement benefits. Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee). The Impact you will have in this role: The Capacity Planning Engineer for Mainframe works directly with a team responsible for monitoring, analyzing, and reporting mainframe processing capacity at DTCC. The successful candidate will collect, process and validate system resource data along with business volume data for future analysis using sound data science principles. One should have a basic understanding of Mainframe while knowledgeable of sources and tools used to collect, validate, then process required system data. One should have a solid background in both descriptive statistics to extrapolate insight from large quantities of raw data using SAS software on the mainframe and in distributed environments. Your Primary Responsibilities: - Monitor and analyze mainframe system performance and capacity trends. - Collect, process, and validate large datasets from various system and business sources. - Apply descriptive statistical techniques to summarize and interpret raw data. - Utilize SAS software to generate reports and insights that inform capacity planning decisions. - Collaborate with cross-functional teams to ensure data accuracy and relevance. - Contribute to the development of tools and processes that enhance data collection and analysis. **NOTE: The Primary Responsibilities of this role are not limited to the details above. ** Qualifications: - Minimum of 6 years of related experience. - Bachelor's degree in a mathematics/statistics subject area preferred or equivalent work experience. Talents Needed for Success: - Foundational understanding of mainframe systems. - Proficiency in SAS or similar statistical software. - MS Office skills, in particular intermediate PowerPoint, and Excel skills. - Excellent analytical skills including data exploration, analysis. - Good foundation in Descriptive Statistics. - Understanding of mainframe technology and components.,