BNY Mellon is a global financial services company focused on helping clients manage and service their financial assets, operating in 36 countries and serving more than 100 markets. BNY Mellon is a leading provider of financial services for institutions, corporations and high-net-worth individuals, providing superior asset management and wealth management, asset servicing, issuer services, clearing services and treasury services through a worldwide client-focused team.
Analyst, Data Management Quant Analysis
Data Management and Quantitative Analysis – IC1 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. No direct 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.