B

BNY

Safeguards and moves assets for investors

Finance Associate - Finance AI Product Support

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeLake Mary, FL, USA$55k - $90kIn-person

About the Job

Requirements

  • A bachelor's degree in Finance, Data/Business Analytics, Computer Science, or a related field is required.
  • Two to three years of experience supporting delivery of AI, automation, or data and analytics solutions, such as business or systems analysis, configuration or implementation, or quality assurance and testing, ideally in finance, operations, or a technology or consulting environment.
  • A demonstrated track record of contributing to technology or AI solution delivery across requirements, build or configuration, testing, and production rollout is required.
  • Working proficiency with SQL and/or Python and comfort working with structured financial data are required.
  • Strong analytical, written, and verbal communication skills, attention to detail, and structured thinking are required.

Responsibilities

  • Translate Finance business needs into user stories, functional requirements, and solution designs for AI-enabled use cases, while supporting data preparation, source-to-agent mapping, and API integration work, including Snowflake, Accounting Rules Engine, and Apptio.
  • Work hands-on across the AI delivery lifecycle by rapidly prototyping and iterating on solutions using the company's existing AI platform and approved tools, favoring pragmatic builds and experimentation before recommending net-new development.
  • Configure, assemble, and refine AI solutions, including prompts, workflows, decision logic, testing scenarios, and supporting components needed to move use cases from concept into working prototypes and production-ready tools.
  • Design and execute business user acceptance testing, end-to-end quality engineering, and performance testing for Finance AI agents before production release, and coordinate governance and model-risk documentation.
  • Support production migration and change management for agents moving into production, and provide post-production monitoring, issue triage, and resolution.
  • Track and apply evolving AI guidance, standards, and design patterns across in-flight delivery work, while maintaining shared documentation, including process maps, data dictionaries, test-case libraries, and runbooks, to build reusable capability across future Finance AI agents.
  • Drive adoption through brown-bag sessions, prototype walkthroughs, user feedback sessions, and iteration loops with FP&A and Treasury teams to ensure solutions are useful, usable, and used.

Desired Qualifications

  • Hands-on exposure to AI or automation delivery, such as agentic AI, large language model-based tools, robotic process automation, or similar.
  • Prior experience at BNY, another financial institution, or a technology or consulting firm in an AI, automation, data, or technology-delivery capacity.
  • Experience translating business needs into user stories and functional requirements, and with user acceptance testing or quality assurance testing and governance or model-risk documentation.
  • Exposure to Power BI, Snowflake, or cloud data platforms; familiarity with change-management practices is a plus for specific rotations.
  • Relevant certifications in AI or analytics, business analysis, or Agile/Scrum, or equivalent coursework.

About the Company

BNY

Safeguards and moves assets for investors

BNY safeguards financial assets and runs investment services for institutions, investment firms and wealthy clients around the world. Its custody business keeps clients' securities safe and handles the records and transactions needed to administer investment funds. Banks and brokers use its systems to settle trades, manage collateral and send payments, while its investment and wealth businesses manage portfolios and advise clients. It earns servicing and management fees as well as interest on loans and securities funded by client deposits. BNY traces its roots to the Bank of New York, founded by Alexander Hamilton in 1784, and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1784

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