Must have four (4) years (or two [2] years with a Master's) of experience with all of the following: Working directly with financial professionals, including portfolio managers, traders, risk management, and other front office teams, to gather, interpret, and translate business requirements from non-technical stakeholders into technical specifications or implemented solutions, including testing and documentation; Working with investment/financial platforms or respective data sources, including Aladdin or Bloomberg, and market/reference data models and schemas; Developing and automating data processing, analytics, or reporting workflows using Python, and performing structured data manipulation using SQL; Analyzing and validating data to ensure accuracy, completeness, and consistency of datasets used for business reporting or analytical purposes; and Designing and publishing reports or dashboards across core data domains, including time-series datasets for trend and performance analysis that support front office risk management or investment management. An employee's pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, business sector, performance, shift, travel requirements, sales or revenue-based metrics, market benchmarking data, any collective bargaining agreements, and business or organizational needs.