Data Management Operations Analyst

Software Guidance & Assistance, Inc., (SGA), is searching for a Data Operations Analyst for a contract (potential for hire)assignment with one of our premier Financial Service clients in Pittsburgh, PA The candidate will join a growing Data Management Operations Team. Hybrid Schedule 2x a week onsite. Shift schedule 12-830pm Candidate should have some degree of understanding of financial services, or an interest in financial services. Responsible for gathering, inputting and reviewing data. The ideal candidate is eager to learn, attentive, focused and has risk awareness. The position has daily deliverables that entail accuracy timeliness and efficiency. The department is regulated, and the candidate must be able to follow policies and procedures. This group is open to continuous improvement and will work with the candidate to create efficiencies for the work load.

• Data Management - Under direct guidance, works with internal and external datasets and client reference data and provides analysis in the development of statistical, financial and/or econometric models for analyzing asset performance, securities data, derivative pricing, risk exposure or other sophisticated concepts.
• Provides analytical support and prepares drafts of standard and ad hoc reports for assigned area.
• With general guidance, supports assigned area with basic statistical and quantitative analyses. May perform or oversee data management activities in support of more senior quantitative colleagues.
• Runs models, looks for exceptions, takes corrective action.
• Builds knowledge of technology tools used to conduct analyses.
• Applies techniques such as querying and macro development to extract data for populating models.
• Builds knowledge of processes and products and which analyses, methodologies and approaches best support assessment of performance, risk, or valuation.
• Interprets findings and prepares initial drafts of standard reports.
• Primarily responsible for the accuracy and quality of own work. Work contributes to the achievement of team goals.
• Bachelors degree or the equivalent combination of education and experience. Advanced degree in quantitative analysis preferred.0-3 years experience preferred. Experience in quantitative finance and technology preferred.