AI Developer - Manager - A&I - Financial Services - Consulting - NYC, Charlotte, Dallas

Press Tab to Move to Skip to Content Link

Location:

New York

Other locations:
Anywhere in Region

Date:
Oct 6, 2025

Requisition

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

EY is the only professional services firm with a separate business unit (“FSO”) that is dedicated to the financial services marketplace. Our FSO teams have been at the forefront of every event that has reshaped and redefined the financial services industry.

The business problems our clients are facing today are not the same problems they have faced in the past. The rapid pace of development in Artificial Intelligence and the technology that enables it has created an urgent need to innovate and adapt to the new global business paradigm.

We provide constant room for growth through client engagements and personal development. Our practitioners develop and lead innovative data techniques and methods, supporting both business and technology leaders. This role provides the unique opportunity to build a professional network, tackle complex data issues, and drive cutting edge approaches across industry leading clients and domains.

You will be part of diverse teams of professionals across different geographies to deliver a wide range of data and analytics services. You will be solving complex issues and driving growth across financial services.

• Fostering an innovative and inclusive team-oriented work environment
• Leading and coaching diverse teams of professionals with different backgrounds
• Providing subject matter expertise in defining technical and business approaches
• Building strong relationships with the clients and cultivating business opportunities
• Initiating and building thought leadership through white papers, point of views, and proof of concepts
• Working in an entrepreneurial environment to pave your own career path
• Propose and drive new technologies to enhance or replace existing business processes

• Undergraduate or master’s degree in a quantitative field (e.g. engineering, computer science, business, economics, finance, statistics, and/or analytics)
• Around 6 or more years of related work experience in banking, capital markets, insurance or asset management space
• Superior communication (verbal and written) with the ability to effectively advocate technical solutions and results to technology and business audiences at all levels and disciplines within EY and client organizations
• Experience working independently, efficiently and effectively under extreme time constraints and delivering results by critical deadlines
• Strong analytical and problem-solving skills
• Experience with client-facing activities such as requirements gathering, facilitating meetings, presentation creation, and ability to prepare client ready deliverables
• Prior experience in project management and client serving roles
• Excellent leadership and teaming skills
• Strong organizational and time-management skills
• Ability to integrate new knowledge and adapt to change with a natural curiosity and desire to learn
• A willingness and ability to travel to meet client needs; travel is estimated at 60%

• Ability to understand business challenges and translate them into value-add analytics and insights solutions.
• Practical experience in leading and managing multi-disciplinary teams through a product life cycle – requirements, design, development, and testing.
• Experience designing, building, and maintaining production-grade ML and DL models, machine learning workflows, and pipelines. Demonstrated exploration of new techniques outside of day-to-day job duties.
• Proficiency in Generative AI techniques, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformers. Experience with working open-source and commercial LLMs.
• Helping clients make data-driven decisions by working with structured and unstructured data sets, building out predictive models, and advising our…