BNY is looking for a Senior Associate Data Management & Quantitative Analysis 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
- Experience in quantitative finance and technology preferred.
- Good understanding of relevant processes and products in the assigned area and knowledge of analyses, methodologies, and approaches that best support assessment of performance, risk, or valuation.
- Ability to interpret findings, prepare initial drafts of standard reports, and translate complex technical concepts and analyses to non-technical audiences.
- Run models, identify exceptions, take corrective action, and use technology tools such as SQL, querying, and macro development to extract data for populating models.
Responsibilities
- Work under moderate guidance with internal and external datasets and client reference data 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.
- Provide analytical support and prepare drafts of standard and ad hoc reports for the assigned area.
- Support assigned area with more advanced statistical and quantitative analyses and serve as a resource to less experienced colleagues.
- Run models, identify exceptions, take corrective action, and use technology tools such as SQL, querying, and macro development to extract data for populating models.
Other
- Bachelor’s degree or the equivalent combination of education and experience; advanced degree in quantitative analysis preferred.
- 3-5 years of experience preferred.
- No direct reports; provides guidance to more junior analysts and is primarily responsible for the accuracy and quality of own work.
