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Specialist, Data Management & Quantitative Analysis II
Eofe Fa Us2 Oraclecloud Com CX 1001 · Prestige Alphatech,Pune,IN, Pune, MH, IN · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Eofe Fa Us2 Oraclecloud Com CX 1001 |
| Title | Specialist, Data Management & Quantitative Analysis II |
| Normalized title | - |
| Department / team | Data Management & Quantitative Analysis |
| Location | Pune, IN, United States |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-06-22 / 2026-06-22 |
| Changed / last seen | 2026-06-22 / 2026-06-22 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Eofe Fa Us2 Oraclecloud Com CX 1001. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Pune. | Open |
| Department jobs | Active postings in Data Management & Quantitative Analysis. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Eofe Fa Us2 Oraclecloud Com CX 1001 |
| Source | 2ab30404-9fac-46ac-a11b-a1c843cac1c5 |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
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.
Full job record
| Job ID | aff4587b12f47d53b544ee25a0608d0737405c2b |
| Org ID | 355f81e9-24d0-454a-b065-730624e2adc2 |
| Source ID | 2ab30404-9fac-46ac-a11b-a1c843cac1c5 |
| Board ID | 2ab30404-9fac-46ac-a11b-a1c843cac1c5 |
| Provider | oracle_hcm |
| Provider Job Key | 68487 |
| Title | Specialist, Data Management & Quantitative Analysis II |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Prestige Alphatech,Pune,IN, Pune, MH, IN |
| Department | Data Management & Quantitative Analysis |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | IN |
| City | Pune |
| Salary Raw | Description 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. |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | day |
| Source URL | https://eofe.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/68487 |
| Apply URL | https://eofe.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/68487 |
| First Seen At | 2026-06-22 14:51:25Z |
| Last Seen At | 2026-06-22 14:51:25Z |
| Last Checked At | 2026-06-22 14:51:25Z |
| Last Changed At | 2026-06-22 14:51:25Z |
| Inactive At | — |
| Source Posted At | 2026-06-22 13:09:48Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=eofe.fa.us2.oraclecloud.com|CX_1001/date=2026-06-22/2026-06-22T14-49-43-200Z-fe9feffb9a36dff8df4910467e75e26cca506e1202aeacb3f30730c9a0cec1df.json |
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