Support the Group’s data strategy, and build and enhance implementations related to data used to support financial planning and treasury reporting. Develop and enhance the income statements and quantitative reporting for management such as by generating and enhancing the Quantitative Risk Management (QRM) tool. Liaise with internal stakeholders to maintain the data mappings and data lineage across financial systems. Build data quality (DQ) rules check and data governance controls; data management procedures for existing framework and future-stage framework enhancement. Assist with QRM and Comprehensive Capital Analysis and Review (CCAR) development of required data and management of reference data. Partner with Finance stakeholders and teams to drive source data and develop data lineage via mapping tables for financial systems. Assist IT in order to maintain and enhance management reporting systems with new data. Recommend IT enhancements to allow businesses to receive better analytics and work to align more synchronized reporting between financial and management reporting using data relationships. Communicate with internal teammates and stakeholders to understand and bridge knowledge to our data that will support decisions around strategies designed to meet individual and team goals.Requirements:Bachelor’s Degree in Computer Science or Information Technology, plus 2 years of experience in the position offered or as a Data Analyst at an investment bank.**All required experience must have included developing and enhancing income statements and quantitative reporting and prediction for management using advanced data science techniques; partnering with cross-functional stakeholders (Finance, IT, Data) to drive source data and establish accurate data lineage tables for multiple financial systems; participated in CCAR audit process including managing required reference data; maintaining and enhancing management reporting systems with new data; performing data analysis and quantitative analysis using tools SQL and Python, and techniques including machine learning, regression analysis, data mining, and advanced predication models; conducting data visualization and reporting using Tableau, Power BI or Oracle BI to visualize business insights.This role entails hybrid work, with time split between working in our New York, NY office and flexibility to telecommute from another U.S. location.#LI-DNI

Minimum Salary: 129,000 Maximum Salary: 130,000 Salary Unit: Yearly