Senior Specialist, Data Scientist

BNY Mellon•New York, NY
•Onsite

About The Position

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, 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. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Data Scientist to join our IT Asset Management team. This role is in Pittsburgh, PA and Lake Mary, FL. In this role, you’ll make an impact in the following ways: Identify and implement opportunities for automation and AI across the Evergreen space, including building stakeholder agents for different personas, driving anomaly detection and data quality improvements, and delivering predictive insights on assets approaching their end-of-life dates. Support data modeling ("what if" scenarios) and other reporting needs to support regulatory, audit, and other ad hoc queries. Define requirements for, and work with our dedicated development team to build, insight-focused dashboards and reports. Lead scheduled sessions with Platform/Line of Business Resiliency teams to review their Evergreen positions and recommend key actions to stay within risk tolerances.

Requirements

  • 2+ years of experience in a Data Science role.
  • Hands-on experience utilizing AI tools and applying AI techniques.
  • Ability to translate a plain English ask into a data-rich response.
  • Comfort presenting information to small groups and summarizing material for a wide audience.
  • A 'can-do' attitude.
  • Bachelor's degree in computer science or at least 5 years of equivalent work experience required
  • 4-5 years of related experience required
  • Experience in the securities or financial services industry is a plus.

Responsibilities

  • Identify and implement opportunities for automation and AI across the Evergreen space, including building stakeholder agents for different personas, driving anomaly detection and data quality improvements, and delivering predictive insights on assets approaching their end-of-life dates.
  • Support data modeling ("what if" scenarios) and other reporting needs to support regulatory, audit, and other ad hoc queries.
  • Define requirements for, and work with our dedicated development team to build, insight-focused dashboards and reports.
  • Lead scheduled sessions with Platform/Line of Business Resiliency teams to review their Evergreen positions and recommend key actions to stay within risk tolerances.
  • Conducts and leads analysis to correct systems, applications, software, and hardware that are not compliant with Corporate policy/procedures.
  • Works closely with external vendors, internal teams and business partners on large infrastructure engineering projects.
  • Provides input and recommends processes in developing project plans.
  • Monitors project progress and provides regular status reports to management team.
  • Ensures that all systems, applications, software, and hardware are compliant with Corporate policy/procedures.
  • Identifies issues and contributes to developing solutions.
  • Maintains and may lead the process for documenting design, build and standard operating procedures.
  • Develops detailed project plans and tracks project progress.
  • Works with Application Development and Quality Assurance, Testing and Business teams to understand infrastructure needs during the planning, design, development and testing processes.
  • Ensures these needs are taken into account when developing infrastructure.
  • Evaluates the organization's existing infrastructure technology and researches and analyzes trends.
  • Implements changes to the infrastructure technology that enhance its reliability and efficiency.
  • Performs basic production support tasks.
  • Identifies opportunities for process improvement and automation.
  • Contributes to the achievement of area objectives.

Benefits

  • Highly competitive compensation
  • Benefits and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy.
  • Access to flexible global resources and tools for your life’s journey.
  • Generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.
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