Senior Specialist, POM Product Owner
BNY · Pune, India · 21h ago
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Here’s a few of our recent awards:
- America’s Most Innovative Companies, Fortune, 2025
- World’s Most Admired Companies, Fortune 2025
- “Most Just Companies”, Just Capital and CNBC, 2025
Our Benefits and Rewards:
BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our 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.
We’re seeking a future team member for the role of Senior Specialist, POM Product Owner, to join our Issuer Services team. This role is located in Pune.
In this role, you’ll make an impact in the following ways:
- 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.
- Has thorough understanding of Securitized products.
- Provide analytical support and prepare Regulatory reports & drafts of standard and ad hoc reports for assigned area in Structured Product ABS/MBS, CDO, CLO & others.
- Support assigned areas with basic statistical and quantitative analyses, occasionally performing more advanced analyses.
- Perform or oversee data management activities in support of more senior quantitative colleagues, including building & running models, identifying exceptions, and taking corrective action.
To be successful in this role, we’re seeking the following:
- Bachelor’s degree or the equivalent combination of education and experience; advanced degree in quantitative analysis preferred.
- 3-5 years of experience preferred.
- Experience in quantitative finance and technology preferred.
- Knowledge of technology tools such as python, querying, and macro development to extract data for populating models. Along with advanced Excel knowledge.
- Understanding of processes and products to support assessment of performance, risk, or valuation.