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EY Analytics Insights Engineer - Manager 
United States, North Carolina, Charlotte 
546594457

29.08.2024

Your Key Responsibilities

You will be leading 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

Responsibilities:

  • 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.).
  • E xperience 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
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $141,400 to $259,200. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $169,700 to $294,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
  • 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.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.