The CCB Data & Analytics Team unifies data and analytics talent across Chase to responsibly leverage data to build competitive advantages for our businesses with value and protection for customers.
The team encompasses a variety of data disciplines, from governance and strategy/partnerships to reporting, data science and machine learning. Together, they ensure impact at the front-line and the customer through Sales and Marketing transformation.
We have a strong partnership with our dedicated Technology partners, who provide us with our cutting-edge data and analytics infrastructure.
Machine Learning and Artificial Intelligence (MLAI) Garage:
Chase is on a mission to deliver a customer-obsessed experience by improving clock speed and providing first class customer interactions. In order to achieve this mission, it aims tobe an AI fueled organization focused on improving and simplifying the experience of our customers and employees. The MLAI Garage team, part of CCB Data and Analytics team, builds best in class ML and AI solutions for CCB Operations in an Agile environment.
Position Overview:
The role is a unique opportunity for an experienced, well-rounded, and hands-on practitioner in analytics. The team is responsible for providing analytical support for MLAI garage playing a critical role in helping the garage identify the most impactful opportunities for MLAI deployment in operations. The position offers an opportunity to work on big data and apply data science skills to support the development of ML and AI solutions.
Responsibilities:
Provide thought leadership on data science best practices, methods and tools for analytical work in the MLAI garages in order to identify most impactful opportunities for MLAI in Operations
Lead, develop, plan, and execute analytical work, individually and with the team, working with Large scale datasets and Big Data environment
Partner and work closely with product owners and other leads to ensure feasibility and progress of the product delivered by the Garage
Work side by side with modeling lead to ensure the best ML and AI solutions are being delivered to the business
Enforce Analytics best practices
Have a clear view of metrics of success, model and implementation feasibility and impact to customer
Share latest ML AI efforts in the industry that can improves operations efficiency and lower OpEx
Lead, train and coach more junior associates in the team
Help build a team of strong, business savvy and self -driven analytical talent
Synthesize analytical findings for consumption by garage teams and senior executives
Deliver practical data insights in a compelling manner actionable by our partners
Articulate analytical findings in clear and concise deliverables, including presentations, discussions, and visualizations
Establish and manage relationships with our internal partners becoming a trusted advisor on business data and analytics techniques, with strong understanding of business drivers and underlying data
Set standards of excellence for the team by demonstrating professional expertise, strong work ethic, integrity and professional behavior
Qualifications and Required Skills :
8+ years of hands on industry experience in leveraging data science (including ML) and analytics to solve business problems
Bachelor's degree in relevant quantitative field required, advanced degree preferred in analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, other Data Science fields)
Thought leader in data science and analytics who can help the business define their business problem, create solutions to address it, plan and execute the implementation
Intellectually curious and self-driven to understand business domains and their data
Expert knowledge in quantitative methods for business, advance data science methods and ML
Familiarity with Agile, experience with Agile is a plus
Experience in practical data processing working with large scale datasets and Big Data environment, data mining, text mining and information retrieval tasks
Experience across broad range of modern data science and analytics tools (e.g., SQL, Hive, Hadoop, Spark, Python)
Proficiency in SQL and Python required.
Ability to work in large and medium sized project teams, as self-directed contributor with a proven track record of being detail orientated, innovative, creative, and strategic
Excellent communicator able to convey complex information in an understandable, compelling, and persuasive manner at all levels
Experience of leading teams with a proven track record of being driving value for the business;
Financial services background preferred, but not required
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
