Manager - Data and Analytics - Data Science - Banking

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

Manager – Financial Services – Advanced Analytics

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 AI 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 AI and advanced analytics we need to look not only at the application of AI, 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 Advanced Analytics 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.

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 6 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

• A degree in computer science, engineering, accounting, finance or a related field; MBA or MS degree preferred
• Prior consulting experience

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!