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EY · 6 hours ago

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

Charlotte, NC

Full-time

Hybrid

Mid, Senior Level

$126K/yr - $230K/yr

6+ years exp

EY is a professional services firm dedicated to the financial services marketplace. The role involves leading diverse teams to deliver data and analytics services, addressing complex challenges in the financial sector.

AccountingAdviceBusiness IntelligenceConsultingFinancial ServicesProfessional Services

Growth Opportunities

H1B Sponsor Likely

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

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

Qualification

Machine LearningData AnalysisCloud PlatformsGenerative AIStatistical ModelingPythonDeep LearningProject ManagementLeadershipCommunicationProblem SolvingTeamwork

Required

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, TensorFlow, PyTorch, statsmodels, etc.)

Experience in multiple tools/language/frameworks within the Big Data & cloud ecosystem (Hadoop, MongoDB, Neo4j, Spark, Hive, HBase, Cassandra, etc.)

Demonstrated experience of managing and mentoring teams of data scientists, ML engineers, and data engineers on the execution of specific business use cases for AI/ML

Strong machine learning and data structure design, development, application of advanced analytical and statistical methods, and architecture experience

Ability to quantify improvement in business areas resulting from optimization techniques through the use of business analytics and/or statistical modeling

Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models

Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) for deploying and managing ML and AI solutions

Strong deep learning experience, particularly in applications of Neural Network architectures to Natural Language Processing, Computer Vision, Machine Intelligence, and/or Reinforcement Learning

Expertise in designing and deploying cloud-native architectures and solutions that leverage serverless computing, containerization (Docker, Kubernetes), and microservices

Experience in integrating AI/ML solutions within cloud environments to ensure scalability, reliability, and security

Familiarity with cloud-based machine learning services like AWS SageMaker, AWS Bedrock, Google AI Platform, Azure Machine Learning & Azure AI Studio

Knowledge of MLOps practices for continuous integration and continuous deployment (CI/CD) of machine learning models in a cloud environment

Understanding of data security and privacy best practices in cloud environments, including compliance

Practical experience in developing and deploying Generative AI applications for various use cases such as text generation, image synthesis, and creative AI

Strong ability to collaborate with cross-functional teams and communicate complex technical concepts to non-technical stakeholders

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

Glassdoor3.8

EY is building a better working world by creating new value for clients, people, society, the planet, while building trust in the capital markets.

Founded in 1989

London, England, GBR

10001+ employees

http://www.ey.com

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)