EY ยท 21 hours ago
AI Developer - Senior - A&I - Financial Services - Consulting - NYC, Charlotte, Dallas
New York, NY
Full-time
Hybrid
Mid, Senior Level
$107K/yr - $176K/yr
2+ years expEY is a global professional services firm dedicated to building a better working world. They are seeking a Senior AI Developer to join their Financial Services team, focusing on analytics and insights, and tackling complex challenges in the financial services industry using advanced AI techniques.
AccountingAdviceBusiness IntelligenceConsultingFinancial ServicesProfessional Services
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
Qualification
Required
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 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
Preferred
Master's degree in Business Administration (MBA) or Science (MS) preferred
Prior consulting experience
Benefits
Medical and dental coverage
Pension and 401(k) plans
Paid time off options
Flexible vacation policy
Designated EY Paid Holidays
Winter/Summer breaks
Personal/Family Care
Other leaves of absence
Company
EY is building a better working world by creating new value for clients, people, society, the planet, while building trust in the capital markets.
10001+ employees
H1B Sponsorship
EY has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8723)
2024 (9877)
2023 (10966)
2022 (9394)
2021 (5652)
2020 (8849)
Funding
Current Stage
Late StageLeadership Team
Jonathan Williamson
Chief Operating Officer
Abhishek Sen
Partner
Recent News
2025-12-24
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2025-12-15
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