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About the Role

This senior hands-on engineering role focuses on building and scaling 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. You will partner with investment professionals, product leaders, data scientists, and engineers to transform complex financial challenges into innovative, production-grade AI solutions.

Responsibilities

Design and develop AI-powered applications, intelligent workflows, and agent-based solutions supporting Wealth & Investment Management business objectives.
Build portfolio analytics, investment research, and decision-support solutions leveraging market, client, and third-party data sources.
Integrate and operationalize data from multiple 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 to accelerate solution delivery.
Apply quantitative and statistical techniques to support portfolio construction, risk analysis, performance attribution, and investment insights.
Assist in the implementation of retrieval, embedding, semantic search, and knowledge-driven capabilities to enhance investment workflows.
Support testing, model evaluation, monitoring, and operational activities to ensure solution quality, accuracy, and reliability.
Contribute to shared frameworks, engineering standards, reusable assets, and technical documentation across the AI Garage.
Participate in code reviews and adopt engineering best practices to promote maintainability, scalability, and security.
Continuously explore emerging AI, data science, and financial technology innovations to drive differentiated 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 with the ability to apply quantitative concepts to real-world investment and wealth management challenges.
Practical experience with portfolio construction, investment analysis, asset allocation, risk modeling, investment research, or related Wealth & Investment Management disciplines.
Strong programming skills in Python and proficiency with data analysis libraries and software engineering best practices.
Experience working with financial data sets, investment platforms, market data vendors (FactSet, Bloomberg, Morningstar, or similar), 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 (RAG), or advanced analytics solutions.
Hands-on experience developing data pipelines, integrating third-party data sources, and building scalable analytical applications.
Strong problem-solving and critical-thinking skills with the ability to translate complex business requirements into practical technical solutions.
Excellent communication and collaboration skills with the ability to work effectively across investment, product, and engineering teams.
Intellectual curiosity and a passion for applying emerging AI technologies to solve complex financial and investment challenges.
Experience supporting portfolio management, investment advisory, model portfolio, or wealth management platforms.
Knowledge of optimization techniques, quantitative finance, portfolio construction methodologies, and risk analytics.
Practical implementation experience with agentic AI solutions, MCP/A2A integration patterns, and automated evaluation and validation frameworks.
Experience building production-grade AI applications in regulated financial services environments.

Skills

Python
Data analysis libraries
Cloud-native development
APIs
Databases
Generative AI
Machine learning
Agentic applications
Retrieval-augmented generation (RAG)
Advanced analytics
Data pipelines
Optimization techniques
Quantitative finance
Portfolio construction methodologies
Risk analytics

Experience Level

Senior

Salary/Compensations

The expected base salary for this position when employment commences can be found in the Job Info section at the bottom of the posting.
Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.
Base salary is only part of the total rewards package, which may include eligibility for an annual discretionary incentive award.

Benefits

Highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and pay-for-performance philosophy.
Access to flexible global resources and tools.
Focus on health, personal resilience, and financial goals.
Generous paid leaves, including paid volunteer time.
401(k) plan.
Company-sponsored medical, dental, vision, and basic life insurance plans.
Various paid time off benefits, such as vacation and sick time.

About the Company

BNY is a leading global financial services company at the heart of the global financial system, influencing nearly 20% of the world’s investible assets.
Our culture allows us to run our company better and enables employees’ growth and success.
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.
We power the future of finance.

Equal Opportunity

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.