AI Developer – Manager – 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 to build a better working world.

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%
• Valid passport

• 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 clients on leading practices.
• 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 to exceed business requirements.
• Leveraging in‑house data platforms as needed and recommending and building new data platforms/solutions as required to exceed business requirements.
• A thorough understanding of the Python programming language and associated machine learning libraries/packages (sklearn, Tensor Flow, PyTorch, stats models, etc.).
• Experience in multiple tools/language/frameworks within the Big Data & cloud ecosystem (Hadoop, Mongo
  
  DB, Neo4j, Spark, Hive, HBase, Cassandra, etc.).
• Demonstrated experience of managing and mentoring teams of data scientists, ML engineers, and data engineers on the execution…