Data Management Specialist, Quantitative Analysis

BNY

. Work with internal and external datasets and client reference data .

Posted 10/23/2026full-timePune • IndiaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantitative finance and technology, with strong capabilities in statistical analysis, data querying, and macro development. Proficient in managing datasets and producing accurate reports to support asset performance and risk exposure assessments.

Highest-signal resume keywords

Quantitative FinanceStatistical AnalysisData QueryingMacro DevelopmentData Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisQuantitative AnalysisData QueryingMacro DevelopmentFinancial ModelingRisk Exposure AnalysisValuation TechniquesSecurities Data AnalysisEconometric ModelingData Interpretation

Soft Skills

Attention to DetailTeam CollaborationCommunication Skills

Tools & Technologies

Data Management ToolsStatistical SoftwareFinancial Analysis Tools

Industry Keywords

Asset PerformanceDerivative PricingClient Reference DataInternal DatasetsExternal Datasets

About the role

Key responsibilities & impact

Work with internal and external datasets and client reference data
Provide analysis for statistical, financial, and/or econometric models
Support quantitative analyses for asset performance, securities data, derivative pricing, risk exposure, valuation, and related concepts
Perform or oversee data management activities
Run models, identify exceptions, and take corrective action
Use querying and macro development techniques to extract data for models
Interpret findings and prepare initial drafts of standard and ad hoc reports
Contribute to team goals while maintaining accuracy and quality of work

Requirements

What you’ll need

Bachelor's degree or equivalent combination of education and experience
0–2 years of experience preferred
Experience in quantitative finance and technology preferred
Advanced degree in quantitative analysis preferred
Knowledge of technology tools used to conduct analyses
Ability to perform statistical and quantitative analyses
Ability to query data and develop macros
Ability to work with internal and external datasets and client reference data

Benefits

Comp & perks

Competitive compensation
Flexible global resources and tools
Wellbeing programs
Generous paid leaves
Paid volunteer time
Family-friendly, inclusive employment policies
Employee forums
Equal employment opportunity and affirmative action