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About the role
As a Specialist in Data Management & Quantitative Analysis II at BNY, you will be a part of the BNY Institute team located in Pune, contributing to the transformation of complex data into compelling stories for internal strategists and external clients. You will play a key role in designing a scalable charting framework, developing interactive chart packs, and exploring AI-driven visualizations to enhance data storytelling. Key Responsibilities: - 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 - Produce automated macro & flow packs that update with latest data drops - Implement advanced interactivity such as drill-downs, scenario sliders, and annotation layers - Prototype NLP-driven chart search, automated chart recommendations, and anomaly-surfacing visuals - Drive best practices in data-driven storytelling and host demos and training sessions - Visualize large data sets (structured/unstructured) and gather feedback for iteration Qualifications Required: - Proficiency in SQL, Python, SaaS analytics, and finance interactive data products - High school/secondary school degree or equivalent combination of education and experience required; Bachelors degree preferred Join BNY's innovative culture where bold ideas meet advanced technology, and be a part of a leading global financial services company that influences nearly 20% of the worlds investible assets. BNY offers competitive compensation, benefits, and wellbeing programs, along with a culture of excellence and opportunities for personal growth. BNY is committed to diversity and equal employment opportunities for underrepresented racial and ethnic groups, females, individuals with disabilities, and protected veterans. Explore the latest BNY news and awards on BNY Newsroom and LinkedIn, and be a part of an organization that values your contributions and supports your professional and personal development. As a Specialist in Data Management & Quantitative Analysis II at BNY, you will be a part of the BNY Institute team located in Pune, contributing to the transformation of complex data into compelling stories for internal strategists and external clients. You will play a key role in designing a scalable charting framework, developing interactive chart packs, and exploring AI-driven visualizations to enhance data storytelling. Key Responsibilities: - 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 - Produce automated macro & flow packs that update with latest data drops - Implement advanced interactivity such as drill-downs, scenario sliders, and annotation layers - Prototype NLP-driven chart search, automated chart recommendations, and anomaly-surfacing visuals - Drive best practices in data-driven storytelling and host demos and training sessions - Visualize large data sets (structured/unstructured) and gather feedback for iteration Qualifications Required: - Proficiency in SQL, Python, SaaS analytics, and finance interactive data products - High school/secondary school degree or equivalent combination of education and experience required; Bachelors degree preferred Join BNY's innovative culture where bold ideas meet advanced technology, and be a part of a leading global financial services company that influences nearly 20% of the worlds investible assets. BNY offers competitive compensation, benefits, and wellbeing programs, along with a culture of excellence and opportunities for personal growth. BNY is committed to diversity and equal employment opportunities for underrepresented racial and ethnic groups, females, individuals with disabilities, and protected veterans. Explore the latest BNY news and awards on BNY Newsroom and LinkedIn, and be a part of an organization that values your contributions and supports your professional and personal development.
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