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

Location:

New York, Charlotte, Dallas

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 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. If you have a passion for rallying together to solve the most complex challenges in the financial services industry, come join our dynamic FSO team!

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. The experiences you gain here will be more valuable than anywhere else.

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
• Working in diverse teams of professionals with different backgrounds
• Demonstrating in‑depth technical capabilities and professional knowledge
• Contributing to thought leadership through white papers, point of views, and proof of concepts
• Working in an entrepreneurial environment to pave your own career path
• Ability to meet deadlines, own deliverables and contribute to project delivery

• Undergraduate or master’s degree in a technical field like Computer Science, Econometrics, Mathematics, Engineering, or a related field
• At least 2 to 5 years of related work experience in banking, capital markets, insurance, or asset management domain
• Good 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
• Proven track record of consistently meeting deadlines, and provide reporting and business recommendations in a dynamic environment
• Good 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%
• Valid Passport

• Ability to understand business challenges and translate them into value‑add analytics and insights solutions
• 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
• Helping our clients make data‑driven decisions by working with structured and unstructured data sets and building out predictive models
• Machine learning and data structure design, development, application of advanced analytical and statistical methods, and architecture experience
• Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, RNNs, CNNs, etc.) as appropriate
• Designing, architecting and developing solutions leveraging big data technology (Hadoop, Cassandra, Spark, Neo4j) to ingest, process and analyze large, disparate data sets
• Ability to quantify improvement in business areas…