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

Location: New York Other locations: Anywhere in Region Date: Sep 7, 2025 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. Senior Consultant – Financial Services – Analytics & Insights 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! 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. Financial institutions are looking to build smarter and more efficient ways to operate their business, create new revenue streams, and better manage risk, through new opportunities uncovered by their data. The opportunity 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. Your key responsibilities 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. Skills and attributes for success 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 To qualify for the role, you must have 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 AISpecific 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 resulting from optimization techniques through use of business analytics and/or statistical modeling Experience in applications of Neural Network architectures to Natural Language Processing, Computer Vision, Machine Intelligence and/or Reinforcement Learning Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models Understanding of the Python programming language and associated machine learning libraries/packages(sklearn, Tensorflow, PyTorch, statsmodels, etc.) Experience in any of the tools/language/frameworks within the Big Data & cloud ecosystem (Hadoop, MongoDB, Neo4j, Spark, Hive, Hbase, Cassandra, etc.) Proficiency in cloud-based AI services and machine learning platforms such as AWS SageMaker, Google AI Platform, Azure Machine Learning to build, train, and deploy scalable AI solutions. Experience with cloud data warehouses like Snowflake, Google BigQuery, Amazon Redshift, and Azure Synapse Analytics for efficient data storage, integration, and analysis. Familiarity with serverless architectures and cloud functions (AWS Lambda, Google Cloud Functions, Azure Functions) to create cost-effective, scalable machine learning inference endpoints. Knowledge of containerization and orchestration technologies (Docker, Kubernetes) for deploying and managing AI applications in the cloud. Expertise in generative AI models and techniques, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformers, to create synthetic data, images, text, and other media. Ability to leverage cloud-based GPUs and TPUs for training complex generative AI models efficiently and at scale. Understanding of the ethical implications of generative AI and commitment to responsible AI practices, including transparency, fairness, and privacy considerations. Ideally, you’ll also have Master’s degree in Business Administration (MBA) or Science (MS) preferred Prior consulting experience What we offer you At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.

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