Senior Associate, Data Scientist
BNY Mellon20 hours ago
Responsibilities
- Design and develop AI-powered applications, intelligent workflows, and agent-based solutions for Wealth & Investment Management.
- Build portfolio analytics, investment research, and decision-support solutions using market, client, and third-party data.
- Integrate and operationalize data from investment platforms, market data providers, and financial systems to create scalable AI-ready data products.
- Develop APIs, data pipelines, automation frameworks, and reusable software components.
- Apply quantitative and statistical techniques to portfolio construction, risk analysis, performance attribution, and investment insights.
- Implement retrieval, embedding, semantic search, and knowledge-driven capabilities for investment workflows.
- Support testing, model evaluation, monitoring, and operational activities to ensure solution quality and reliability.
- Contribute to shared frameworks, engineering standards, reusable assets, technical documentation, code reviews, and maintainable software practices.
- Explore emerging AI, data science, and financial technology innovations to create business value.
Requirements
- 4–7 years of experience in software engineering, quantitative analytics, financial technology, data engineering, AI engineering, or a related field.
- Strong mathematical, statistical, and analytical foundation applicable to investment and wealth management challenges.
- Practical experience with portfolio construction, investment analysis, asset allocation, risk modeling, investment research, or related disciplines.
- Strong Python programming skills and proficiency with data analysis libraries and software engineering best practices.
- Experience with financial datasets, investment platforms, market data vendors such as FactSet, Bloomberg, or Morningstar, and portfolio analytics solutions.
- Familiarity with cloud-native development, APIs, databases, and modern software development lifecycle practices.
- Exposure to generative AI, machine learning, agentic applications, retrieval-augmented generation, or advanced analytics solutions.
- Hands-on experience developing data pipelines, integrating third-party data sources, and building scalable analytical applications.
- Strong problem-solving, critical-thinking, communication, and collaboration skills.
- Preferred: experience supporting portfolio management, investment advisory, model portfolio, or wealth management platforms.
- Preferred: knowledge of optimization, quantitative finance, portfolio construction methodologies, and risk analytics.
- Preferred: practical experience with agentic AI, MCP/A2A integration patterns, automated evaluation and validation frameworks, and production-grade AI applications in regulated financial services.
Tech Stack
Categories
About BNY Mellon
BNY Mellon is a public, New York–based global financial services company providing investment and wealth management, asset servicing, clearance, collateral, and treasury services to institutions, banks, governments, and individuals. It also offers data and investment operations software, including the Eagle platform, delivered as cloud and managed services. Founded in 1784, it is one of the world’s largest custodian banks and asset servicers.