EY Analytics Insights Engineer - Senior 

United States, North Carolina, Charlotte 

954460557

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

A&I specific

• 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

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.