BNY Mellon

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Data Management Quant Analysis

at BNY Mellon

Posted: 6/6/2018
Job Reference #: 1808296
Keywords:

Job Description

Client Service Delivery (CSD) brings together BNY Mellon's key operational areas into one global team to better support the company's businesses and serve clients around the world. CSD helps clients to conduct business, service assets, and engage in transactions in 35 countries and more than 100 markets. At every stage of the investments lifecycle - creating, trading, clearing, settling, holding, servicing, managing, distributing and restructuring assets - CSD is working to make BNY Mellon the recognized industry service quality and productivity leader. Client Service Delivery manages investment monitoring, measurement and processing services for our clients. Our solutions include Securities Operations, Fund Administration, Transfer Agency, Outsourcing, Performance Measurement and other related services.

Data Management and Quantitative Analysis - IC1Under 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.No direct reports.Primarily responsible for the accuracy and quality of own work. Work contributes to the achievement of team goals.  

Qualifications

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.