Vice President, Data Management & Quantitative Analysis at BNY

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

13 Apr, 26

Salary

0.0

Posted On

13 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, SaaS Analytics, Finance, Data Products, Data Cleansing, Feature Engineering, Model Integration, NLP, Chart Development, Data Visualization, CI/CD, APIs, Dashboards, Interactivity, Data Storytelling

Industry

Financial Services

Description

Vice President, Data Management & Quantitative Analysis At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We're seeking a future team member for the role of Vice President, Data Management & Quantitative Analysis to join our BNY Institute - BNY's macro strategy insights platform team. This role is located in Pune In this role, you'll make an impact in the following ways: We are building out the capabilities of BNY Institute to transform complex data into compelling stories for internal strategists and external clients. Help architect and deliver interactive chart packs, exploratory dashboards, and—over time—AI-augmented “smart” visualizations that helps our data tell a story for clients. Platform Build-out Design a scalable charting framework with reusable templates. Integrate with data APIs and Snowflake/S3 for real-time refreshes and cache management. Establish CI/CD pipelines for front-end deployments. Chart Pack Development Produce automated macro & flow “packs” that update with latest data drops. Implement advanced interactivity: drill-downs, scenario sliders, annotation layers. Optimize performance for large time-series and high-frequency charts.for data cleansing, feature engineering, and model integration. Smart Visualization R&D Prototype NLP-driven chart search, automated chart recommendations, and anomaly-surfacing visuals. Collaborate with AI engineers to embed models into UX seamlessly. UX - Visualize large data sets (structured/unstructured) Drive best practices in data-driven storytelling; host demos and training sessions. Gather feedback from research, sales, and marketing to iterate quickly. To be successful in this role, we're seeking the following: SQL, Python, SaaS analytics, finance interactive data products High school/secondary school or the equivalent combination of education and experience is required; At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom BNY LinkedIn 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.

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Responsibilities

The Vice President will build capabilities for the BNY Institute, transforming complex data into compelling stories for clients. Responsibilities include architecting interactive visualizations, developing automated chart packs, and collaborating with AI engineers.