Senior AI Data Scientist, Wealth & Investment

BNY

New York (NY)

On-site

USD 150,000 - 210,000

Full time

39 hours ago
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Job summary

BNY is seeking a senior hands-on engineer to build AI-powered solutions for Wealth & Investment Management. You will work at the intersection of investment expertise, quantitative analysis, and modern AI technologies to create intelligent applications that enhance portfolio construction, investment research, advisor productivity, and client outcomes.

The ideal candidate combines strong mathematical and analytical capabilities with a passion for software engineering and applied AI, partnering

Qualifications

  • Strong mathematical, statistical, and analytical foundation with ability to apply quantitative concepts to real-world investment challenges.
  • Practical experience with portfolio construction, investment analysis, risk modeling, and investment research.
  • Strong programming skills in Python and proficiency with data analysis libraries.
  • Experience with financial data sets, investment platforms, and data vendors (FactSet, Bloomberg, Morningstar).
  • Familiarity with cloud-native development, APIs, databases, and SDLC practices.
  • Exposure to Generative AI, machine learning, retrieval-augmented generation, or advanced analytics.
  • Hands-on experience developing data pipelines and scalable analytical applications.
  • Excellent communication and collaboration skills across investment, product, and engineering teams.

Responsibilities

  • Design and develop AI-powered applications and intelligent workflows for Wealth & Investment Management.
  • Build portfolio analytics, investment research, and decision-support solutions using market data and third-party sources.
  • Integrate data from multiple platforms to create scalable, AI-ready data products.
  • Develop APIs, data pipelines, automation frameworks, and reusable software components.
  • Apply quantitative techniques to support portfolio construction, risk analysis, and investment insights.
  • Contribute to retrieval, embedding, semantic search, and knowledge-driven capabilities for investment workflows.
  • Support testing, model evaluation, monitoring, and operational activities to ensure quality and reliability.
  • Contribute to shared engineering frameworks, standards, and documentation.

Skills

Python
Quantitative analytics
Cloud-native development
Generative AI
Data pipelines
APIs
Communication
Collaboration
Investment knowledge

Tools

FactSet
Bloomberg
Morningstar

Job description

BNY is seeking a senior hands-on engineer to build AI-powered solutions for Wealth & Investment Management. You will work at the intersection of investment expertise, quantitative analysis, and modern AI technologies to create intelligent applications that enhance portfolio construction, investment research, advisor productivity, and client outcomes.

The ideal candidate combines strong mathematical and analytical capabilities with a passion for software engineering and applied AI, partnering

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