FNBO is looking to solve business problems related to marketing and partnership analytics within the Consumer Banking Group by developing and implementing analytical tools to enable day-to-day decision-making processes for various banking products.
Requirements
- Experience using one or more of the following programming languages: SQL, SAS, R, or Python
- Experience with AWS machine learning tools (SageMaker, Transcribe, etc.), Python, PowerBI (preferred)
Responsibilities
- Data mining very large databases (tens of millions of records) using a variety of analytics tools (SQL, SAS, R, Python), conduct data analyses and build machine learning models to solve business problems
- Write model documentation to ensure transparency and provide necessary documents for model validation and auditing purposes
- Act as a junior data consultant to internal business teams and external clients by providing data driven insights to answer relevant business questions
- Present model performance results, analysis outcomes and findings to business users and management
- Work on reporting requests from business users to help them get the right data for their campaigns and operations
Other
- Graduate student or senior undergraduate in a quantitative field such as Statistics, Computer Science, Data Science, Mathematics
- Demonstrate excellent oral and written communication skills
- Applicant would be expected to be able to work part-time (at least 20 hours/week) during the academic year
- Working onsite 3+ days per week
- Candidates must possess unrestricted work authorization and not require future sponsorship
