EY AI Developer - Senior Manager & Financial 

United States, California, San Francisco 

360665632

What to expect

You’ll be working with a newly created team in truly uncharted territory. You will apply your knowledge and experience to support the delivery of key projects, build valuable relationships both within EY and with clients, and develop strong capabilities through both formal training and working with senior mentors and talented colleagues.

You’ll spend most of your time working with a wide variety of clients to help with designing advanced analytics solutions, undertaking proof-of-concepts, and implementing these solutions to help clients to compete effectively in this dynamic environment.

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:

o 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

· Valid passport

Ideally, you’ll also have

· A degree in computer science, engineering, accounting, finance or a related field; MBA or MS degree preferred

· Prior consulting experience

• 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.