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Associate, OPS Data Management & Quantitative Analysis I

BNY Mellon

We're seeking a future team member for the role of Data Management and Quantitative Analysis to join our team. This role is located in Lake Mary, FL. Responsibilities Work 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 basic statistical and quantitative analyses under general guidance; may perform or oversee data management activities in support of more senior quantitative colleagues. Run models, identify exceptions, take corrective action, and build knowledge of technology tools used to conduct analyses, including querying and macro development to extract data for populating models. Qualifications Bachelor's degree or the equivalent combination of education and experience; advanced degree in quantitative analysis preferred. 0-2 years of experience preferred. Experience in quantitative finance and technology preferred. No direct reports; primarily responsible for the accuracy and quality of own work. Benefits BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and a pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. #J-18808-Ljbffr BNY Mellon

Vacancy posted 1 day ago
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