About The Position

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. 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. Senior Manager – 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 As a member of the AI team, we’ll look to you to provide our clients with a unique business perspective on how data science and analytics can transform and improve their entire organization - starting with key business issues they face. This is a high growth, high visibility area with plenty of opportunities to enhance your skillset and build your career. We provide constant room for growth through client engagements and personal development. Our practitioners develop and lead innovative techniques and methods, supporting both business and technology leaders. This role provides the unique opportunity to build a professional network, tackle complex issues, and drive cutting edge approaches across industry leading clients and domains. You will help our clients navigate the complex world of modern data science and analytics.

Requirements

  • A bachelor's or master’s degree
  • Around 8 or more years of related work experience in banking, capital markets, insurance or asset management space
  • Practical experience in leading and managing multi-disciplinary teams through a product life cycle – requirements, design, development and testing
  • Demonstrated experience of technically leading and guiding a team of machine learning experts
  • Strong machine learning and data structure design, development and architecture experience
  • Ability to understand what adds value and proactively explore and identify new data sources and/or new machine learning techniques that could be helpful.
  • Strong deep learning experience, particularly in applications of Neural Network architectures to Natural Language Processing, Computer Vision, Machine Intelligence and/or Reinforcement Learning
  • Strong understanding of data management and model evaluation and training techniques for Neural Networks.
  • Strong understanding of classical ML techniques like KNN, Kmeans, PCA, GBM, SVM and regression
  • Experience in one or more deep learning frameworks such as Pytorch, Torch, Caffe, Keras, or Tensorflow.
  • Practical experience using the following tools and technologies: SAS, R, Python, SPSS, MapR, Flume, Hue, Impala, predictive analytics, machine learning, artificial intelligence
  • Exceptional communication skills, both verbal and written, and desire to educate others about our ML models.
  • Demonstrated ability to work across and influence different stakeholders within an organization.
  • Passion for machine learning & data analysis. Demonstrated exploration of new techniques outside of day-to-day job duties.
  • Strong analytical and problem-solving skills
  • Prior experience in project management and client serving roles
  • Ability to understand business challenges and translate them into value add analytics solutions
  • Excellent leadership and teaming skills
  • A willingness and ability to travel to meet client needs; travel is estimated at 80%-90%
  • Valid passport
  • 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

Nice To Haves

  • Master’s degree in Business Administration (MBA) or Science (MS) preferred
  • Prior consulting experience

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.

Benefits

  • 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 $144,000 to $329,100.
  • The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000.
  • 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.
  • 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.
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