Data Management and Quantitative Analysis Awareness of various coding languages R, Python, Java, Excel, Alteryx, SQL, Tableau, Java, etc.Process Improvement / Process Automation 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. BNY Mellon is an Equal Employment Opportunity/Affirmative Action Employer. Minorities/Females/Individuals With Disabilities/Protected Veterans.
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