Specialist, Data Management & Quantitative Analysis II

Reposted Yesterday
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Pune, Mahārāshtra, IND
In-Office
Mid level
Fintech • Financial Services
The Role
Build and scale an interactive analytics platform for macro strategy: design reusable charting frameworks, integrate Snowflake/S3 data feeds, implement CI/CD for front-end deployments, automate chart packs and advanced interactivity, prototype NLP-driven chart search and smart visualizations, and collaborate with AI engineers and stakeholders to drive data-driven storytelling and training.
Summary Generated by Built In

Specialist, Data Management & Quantitative Analysis II

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 Specialist, Data Management & Quantitative Analysis II 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;
  • Bachelor’s degree or the equivalent combination of education and experience is required; bachelor’s degree preferred

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.

Skills Required

  • SQL
  • Python
  • Snowflake
  • Amazon S3
  • CI/CD pipelines for front-end deployments
  • APIs and data integration
  • SaaS analytics and finance interactive data products experience
  • Prototyping NLP-driven visualizations / chart search
  • High school / secondary school or equivalent
  • Bachelor's degree (preferred)

BNY Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about BNY and has not been reviewed or approved by BNY.

  • Healthcare Strength Health coverage includes comprehensive options with a $0‑premium plan for eligible lower earners, expanded mental‑health support with personalized therapy, and strong income protection through short‑ and long‑term disability. These features have been recently enhanced and are paired with dental and vision coverage.
  • Parental & Family Support Parental leave provides 16 weeks of fully paid time for all parents, with added support such as adoption assistance. This breadth offers strong coverage for major family events.
  • Retirement Support The 401(k) program includes a company match and Roth options to support long‑term savings. Additional financial programs like tuition assistance and savings vehicles complement retirement readiness.

BNY Insights

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The Company
HQ: New York, NY
41,739 Employees

What We Do

We help make money work for the world — managing it, moving it and keeping it safe. As a leading global financial services company at the center of the world’s financial system, we touch nearly 20% of the world’s investable assets. Today we help over 90% of Fortune 100 companies and nearly all the top 100 banks globally access the money they need. For 240 years we have partnered alongside our clients to create solutions that benefit businesses, communities and people everywhere.

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