Expoint – all jobs in one place
המקום בו המומחים והחברות הטובות ביותר נפגשים
Limitless High-tech career opportunities - Expoint

EY AI Developer - Senior Manager & Financial 
United States, New York, New York 
448493612

Today

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
  • 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

To qualify for the role, you must have

  • 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

Ideally, you’ll also have

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


At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .

  • 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.
  • 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.