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.. Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, RNNs, CNNs, etc.). 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.). Experience with cloud data warehouses like Snowflake, Google BigQuery, Amazon Redshift, and Azure Synapse Analytics for efficient data storage, integration, and analysis.

financial services

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. The exceptional EY experience. It's yours to build. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. 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 <ul><li>Fostering an innovative and inclusive team-oriented work environment </li><li>Working in diverse teams of professionals with different backgrounds </li><li>Demonstrating in-depth technical capabilities and professional knowledge </li><li>Contributing to thought leadership through white papers, point of views, and proof of concepts </li><li>Working in an entrepreneurial environment to pave your own career path </li><li>Ability to meet deadlines, own deliverables and contribute to project delivery </li></ul>To qualify for the role, you must have <ul><li>Undergraduate or master’s degree in a technical field like Computer Science, Econometrics, Mathematics, Engineering, or a related field </li><li>At least 2 to 5 years of related work experience in banking, capital markets, insurance, or asset management domain </li><li>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 </li><li>Experience working independently, efficiently, and effectively under extreme time constraints and delivering results by critical deadlines </li><li>Strong analytical and problem-solving skills </li><li>Experience with client-facing activities such as requirements gathering, facilitating meetings, presentation creation, and ability to prepare client ready deliverables </li><li>Proven track record of consistently meeting deadlines, and provide reporting and business recommendations in a dynamic environment </li><li>Good leadership and teaming skills </li><li>Strong organizational and time-management skills </li><li>Ability to integrate new knowledge and adapt to change with a natural curiosity and desire to learn </li><li>A willingness and ability to travel to meet client needs; travel is estimated at 60% </li><li>Valid Passport </li></ul>A&I specific <ul><li>Ability to understand business challenges and translate them into value-add analytics and insights solutions </li><li>Experience designing, building, and maintaining production-grade ML and DL models, machine learning workflows and pipelines </li><li>Demonstrated exploration of new techniques outside of day-to-day job duties </li><li>Helping our clients make data-driven decisions by working with structured and unstructured data sets and building out predictive models </li><li>Machine learning and data structure design, development, application of advanced analytical and statistical methods, and architecture experience </li><li>Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, RNNs, CNNs, etc.) as appropriate </li><li>Designing, architecting and developing solutions leveraging big data technology (Hadoop, Cassandra, Spark, Neo4j) to ingest, process and analyze large, disparate data sets </li><li>Ability to quantify improvement in business areas resulting from optimization techniques through use of business analytics and/or statistical modeling </li><li>Experience in applications of Neural Network architectures to Natural Language Processing, Computer Vision, Machine Intelligence and/or Reinforcement Learning </li><li>Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models </li><li>Understanding of the Python programming language and associated machine learning libraries/packages (sklearn, Tensorflow, PyTorch, statsmodels, etc.) </li><li>Experience in any of the tools/language/frameworks within the Big Data & cloud ecosystem (Hadoop, MongoDB, Neo4j, Spark, Hive, Hbase, Cassandra, etc.) </li><li>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. </li><li>Experience with cloud data warehouses like Snowflake, Google BigQuery, Amazon Redshift, and Azure Synapse Analytics for efficient data storage, integration, and analysis. </li><li>Familiarity with serverless architectures and cloud functions (AWS Lambda, Google Cloud Functions, Azure Functions) to create cost-effective, scalable machine learning inference endpoints. </li><li>Knowledge of containerization and orchestration technologies (Docker, Kubernetes) for deploying and managing AI applications in the cloud. </li><li>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. </li><li>Ability to leverage cloud-based GPUs and TPUs for training complex generative AI models efficiently and at scale. </li><li>Understanding of the ethical implications of generative AI and commitment to responsible AI practices, including transparency, fairness, and privacy considerations. </li></ul>Ideally, you’ll also have <ul><li>Master’s degree in Business Administration (MBA) or Science (MS) preferred </li><li>Prior consulting experience </li></ul>What We Look For   We’re interested in self-motivated and passionate leaders with a strong vision and desire to stay on the cutting edge of data technology and science. We are looking for individuals who aspire to build collaborative team environments and possess effective management skills while demonstrating in-depth technical capabilities and industry knowledge. If you have a genuine drive for helping consumers achieve the full potential of their data while working towards your own development, this role is for you! 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 $105,100 to $192,700. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $126,100 to $218,900. 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. <ul><li>Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.</li><li>Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.</li><li>Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.</li><li>Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. </li></ul>EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. 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. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. For those living in California, please click here for additional information. EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.  EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com

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