Banking & Capital Markets Data Science Manager 787 views

Applied Intelligence, the people who love using data to tell a story. They’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for them? Solving big problems using the latest tech, serious brainpower, and deep knowledge of just about every industry. They believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join their crew of sharp analytical minds?

You are:

Analytics and digital transformation powerhouse who knows banking back to front. You can navigate predictive modeling, machine learning, visualization, and big data platforms. You know how to take important data—from old or brand new sources—and find insights that help our clients remake their companies for the digital world. Be ready to stack those airline miles with the potential for weekly travel (80%)

The work:

• Help clients transform their companies into digital organizations
• Take charge of large, complex banking analytics projects from start to finish:
• Design the project and define what data is needed
• Choose the right analytics platform
• Pick the right technical architecture
• Deploy the solution and feedback loop
• Pick analytics solutions and make sure they change as needed if the situation changes
• Help develop the products they pitch to clients
• Drive the analytics strategy in every channel they need from social media to CRM and more
• Showcase your understanding of commercial banking with on-target thought leadership
• Stay up-to-date with the latest trends and analytical tools
• Make sure clients know which tools they can use to help their companies do more

Here’s what you need:

• At least 5 years of analytics experience in one or more of (Banking, Capital Markets, Wealth, or Asset Management)
• Bachelor’s degree or equivalent (minimum of 12 years) work experience
• At least 5 years of Hands-on experience using one or more tools like R, SAS, Python, and Spark to solve business problems
• Deep experience in one or more of the following:
• Predictive modeling
• Machine learning
• Visualization
• Big data platforms

Bonus points if:

• Strong experience in consultative selling and large-scale project delivery including core management consulting skills including Visioning workshop facilitation, Interviews/focus groups
• Understanding of broader CAO/CDO agenda and how Analytics fits within the overall AMC scope
• Experience with defining high-level enterprise digital architectures, applying digital marketing and developing best practices to support strategic recommendations.
• Plus have exposure to evolving approaches and technologies such as NLP, Artificial Intelligence, Cognitive Systems, and Robotics
• At least 4 years in commercial banking at a Fortune 2000 company or top-ranked consultancy

Important information

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture.  Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.