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

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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. We believe that to fully unlock the potential of Artificial Intelligence we need to look not only at its application but also at the strategy level for how best to transform the enterprise into one that is technology and data focused and ready for the new age. Our clients problems are becoming increasingly complex while at the same time the need to automate and streamline is rising.

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. The experiences you gain here will be more valuable than anywhere else.

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 masters degreein 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 youll also have

• Masters degree in Business Administration (MBA) or Science (MS) preferred
• Prior consulting experience

What we offer you

At EY well develop you with future-focused skills and equip you with world-class experiences. Well 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.

Are you ready to shape your future with confidence Apply today.

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