AI Developer - Senior Manager - A&I - Financial Services - Consulting - NYC, Charlotte, Dallas

Location

New York, Charlotte, Dallas (any location in region)

As a member of the AI team, you will 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 high‑growth, high‑visibility role offers opportunities to enhance your skillset and build your career through client engagements and personal development. You will help clients navigate the modern world of data science and analytics.

You will be part of diverse teams of professionals across different geographies to deliver a wide range of data and analytics services. You will solve complex issues and drive growth across financial services.

• 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

• 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, k‑means, PCA, GBM, SVM and regression
• Experience in one or more deep learning frameworks such as PyTorch, Torch, Caffe, Keras, or Tensor Flow
• Practical experience using tools and technologies such as 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—including 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 %

• 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 your extraordinary talents in a diverse and inclusive culture of globally connected teams.

• Comprehensive compensation and benefits package. The base salary range in the U.S. is $144,000 to $329,100 and $172,800 to $374,000 for major metro areas. Individual salaries are determined by factors such as education, experience, and geography. Total Rewards include medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off.
• Team‑led, leader‑enabled hybrid model: most client‑serving roles work together in person 40‑60 % of the time.
• Flexible vacation policy: you decide how much vacation you…