EY
AI Developer – Manager – A&I – Financial Services – Consulting – NYC, Charlotte,
EY, Charlotte, North Carolina, United States, 28245
Location: New York, Charlotte, Dallas
Manager — Financial Services — Analytics & Insights 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.
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
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
To qualify for the role, you must have
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
AI Specific
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.
Additional Requirements
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.
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. Learn more.
Benefits:
We offer a comprehensive compensation and benefits package with a base salary range of $125,500 to $230,200. For New York City, Washington State and California (excluding Sacramento), the range is $150,700 to $261,600.
Medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Hybrid work model with 40–60% in‑person client service required.
Flexible vacation policy and generous paid holidays.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, in accordance with applicable law.
EY is committed to providing reasonable accommodations to qualified individuals with disabilities. If you need assistance applying online or requesting an accommodation, please contact us.
#J-18808-Ljbffr
Manager — Financial Services — Analytics & Insights 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.
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
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
To qualify for the role, you must have
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
AI Specific
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.
Additional Requirements
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.
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. Learn more.
Benefits:
We offer a comprehensive compensation and benefits package with a base salary range of $125,500 to $230,200. For New York City, Washington State and California (excluding Sacramento), the range is $150,700 to $261,600.
Medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Hybrid work model with 40–60% in‑person client service required.
Flexible vacation policy and generous paid holidays.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, in accordance with applicable law.
EY is committed to providing reasonable accommodations to qualified individuals with disabilities. If you need assistance applying online or requesting an accommodation, please contact us.
#J-18808-Ljbffr