BNY is seeking an Associate, Data Management & Quantitative Analysis to join their Client Analytics team to provide 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.
Requirements
- Advanced degree in quantitative analysis preferred.
- Experience in quantitative finance and technology preferred with strong proficiency in SharePoint and MS Excel.
- Has some knowledge of technology tools used to conduct analyses conduct analyses.
- Applies techniques such as SQL, querying and macro development to extract data for populating models.
- Has some knowledge of processes and products and which analyses, methodologies and approaches best support assessment of performance, risk, or valuation.
Responsibilities
- 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 areas with basic statistical and quantitative analyses.
- Performs or oversees data management activities in support of more senior quantitative colleagues.
- Runs models, looks for exceptions, takes corrective action.
- Applies techniques such as SQL, querying and macro development to extract data for populating models.
- Interprets findings and prepares initial drafts of standard reports.
Other
- Bachelors degree or the equivalent combination of education and experience.
- 2-3 years experience preferred.
- Located in Pittsburgh, PA or Houston, TX.
