About The Role
A globally-renowned fintech firm is funding a brand new, customer-focused digital banking entity in NYC. They're now building out a data science team that will analyze and leverage consumer data, and develop cutting-edge ML models for work around fraud, credit risk, and automatic alerts.
From traditional statistical regression to deep learning and AI, this team will be working on projects across the data science spectrum and they're looking for genuinely passionate individuals with a broad skill set. This is a hands-on role, leveraging the latest tech and ML techniques within a fully digital and data-driven greenfield environment.
As the highest-funded project in the firm worldwide, this is a chance to work on a truly confidential program where the details are currently kept under NDAs!
Requirements
1+ years of commercial experience
Excellent academic background in a STEM-related field
Experience using Python and related libraries (TensorFlow, PyTorch, GPFlow)
In-depth knowledge of statistics and machine learning
Understanding of current challenges surrounding artificial intelligence: A.I. ethics, fairness, data leakage, model drift, etc.
Technically curious, self-motivated, versatile and solution-oriented
Salary
Base salary between $130,000 - $170,000
For more information, please email Lewis.poon@stanfordblack.com