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BNY
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Associate, Data Management & Quantitative Analysis II

Associate, Data Management & Quantitative Analysis II

BNY

0 years

0 Lacs

pune/pimpri-chinchwad area

Posted:3 days ago| Platform:

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Skills Required

data management analysis cutting ai technology power finance macro strategy design charting flow interactivity drill annotation frequency engineering model visualization prototype ux visualize drive storytelling training research marketing sql python saas analytics combination compensation support

Work Mode

On-site

Job Type

Full Time

Job Description

Associate, Data Management & Quantitative Analysis IIAt 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 and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what is all about. Join us and be part of something extraordinary.We’re seeking a future team member for the role of Associate, Data Management & Quantitative Analysis II to join our BNY Institute – BNY’s macro strategy insights platform team. This role is located in Pune, MH – HYBRID.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 NewsroomBNY 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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Associate, Data Management & Quantitative Analysis II