Senior Associate in Data Analytics contributing to the Wealth Management team at BNY. Focusing on AI platform mastery, SQL, and Python for data-driven solutions.
Responsibilities
Learn and master BNY’s enterprise AI platform (Eliza), including agent creation, customization, and deployment across BNY Wealth.
Support the design, development, and maintenance and AI agents that streamline processes, improve employee and client experiences, and enhance internal efficiency.
Collaborate with BNY Wealth team members to identify use cases for AI-driven solutions.
Write, optimize, and maintain SQL queries to extract and manipulate data for reporting, analysis, and AI model development.
Develop scripts and automation using Python to support data pipelines, model testing, and integration of AI solutions.
Provide hands-on training and support to BNY Wealth team members on the effective use of the AI platform (Eliza), including step-by-step guidance on creating and managing agents.
Document AI workflows, best practices, and training materials for non-technical employees.
Stay current on emerging AI technologies and practices and proactively suggest ways to enhance Eliza’s impact across BNY Wealth.
Contribute to the achievement of team objectives and support a range of moderately complex projects and deliverables as needed or required by management, senior/executive leadership, internal business partners, and regulatory agencies.
Requirements
Bachelor’s degree or equivalent combination of education and work experience required
3-5 years of total work experience preferred
1-3 years of experience working with SQL and Python in a professional or academic setting.
Experience in the securities or financial services industry is preferred
Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Familiarity with artificial intelligence concepts (machine learning, natural language processing, generative AI, etc.) and their application in business environments.
Benefits
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.
Experienced Director of Recruiting Analytics & Insights to enhance data - driven recruiting strategies. Leading a team at Salesforce to derive actionable insights through advanced analytics.
Manager of Data Analytics & BI leading team and driving data - driven decisions at Red Lobster. Overseeing reporting solutions and building analytics ecosystem for organizational insights.
Data Analyst analyzing windfarm availability data and providing reports for Nordex's operations team. Liaising with various departments and ensuring data quality in Chennai, India.
Head of Workplace Solutions for data analytics and insight at M&G. Leading decision - making support and operational real estate portfolio performance enhancement.
Technical Data Analyst ensuring quality of content data through SQL development and analytics reporting at GHX. Collaborating in an Agile/Scrum environment with cross - functional teams.
Apprenticeship in People Data Analytics for a French - speaking candidate based in Paris. Support data collection, cleaning, analysis, and dashboarding to deliver HR insights.
Marketing Data Analyst for digital advertising firm managing data collection and analysis for effective marketing campaigns. Collaborating with teams to enhance investment efficiency and strategic decision - making.
WEB ANALYTICS MANAGER managing data collection and measurement reliability for NordVPN's web ecosystem. Collaborate with teams to ensure high - quality data for effective decision - making.