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The role will be Spec Analytics Analyst 2 in the Data Science and Modeling of North America Consumer Bank team. The role will report to the AVP / VP leading the team. The Next Gen Analytics (NGA) team is a part of the Analytics & Information Management (AIM) unit. The NGA modeling team will focus on the following areas of work: Client Obsession, Analytic Project Execution, Domain expert, Modeling and Tech Savvy, Statistical mind set, Communication skills, Strong project management skills, Ability to coach and mentor juniors, Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.
Job Responsibility:
Client Obsession – Create client centric analytic solution to business problems
Analytic Project Execution – Own and deliver multiple and complex analytic projects
Domain expert – Individuals are expected to be domain expert in their sub field
Modeling and Tech Savvy – Always up to date with the latest use cases of modeling community, machine learning and deep learning algorithms and share knowledge within the team
Statistical mind set – Proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling
Communication skills – Ability to translate and articulate technical thoughts and ideas to a larger audience including influencing skills with peers and senior management
Strong project management skills
Ability to coach and mentor juniors
Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.
Requirements:
Bachelor’s Degree with 3 years of experience in data analytics
Master’s Degree with 2 years of experience in data analytics
PhD
Hands-on experience in PySpark/Python/R programing along with strong experience in SQL
2-4 years of experience working with machine learning and statistical modeling techniques
Understanding around deep learning techniques
Experience working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding
Strong background in Statistical Analysis
Capability to validate/maintain deployed models in production
Self-motivated and able to implement innovative solutions at fast pace
Experience in Machine Learning software frameworks
Experience in Credit Cards and Retail Banking is preferred
Strong communication skills
Multiple stake holder management
Strong analytical and problem solving skills
Excellent written and oral communication skills
Strong team player
Control orientated and Risk awareness
Working experience in a quantitative field
Willing to learn and can-do attitude
Ability to build partnerships with cross-function leaders
Nice to have:
Experience in Credit Cards and Retail Banking is preferred
What we offer:
Global Benefits
We bring the best to our people
We put our employees first and provide the best-in-class benefits they need to be well, live well and save well
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