- Charlotte, North Carolina, United States
- On-site
- Full-time · Mid
- 4+ years
Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk.
Responsibilities
- Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk
- Provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics
- Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data
- Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders
- Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome
Requirements
- Bachelor’s degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
- Nice to have: Master’s degree or PhD in a quantitative field
- Nice to have: banking or fin-tech industry experience