Job Title: Data Scientist for Financial Modeling
About the Role:
We are seeking a highly skilled Data Scientist to join our team as we embark on a mission to revolutionize financial modeling. As a key member of our data science team, you will be responsible for developing and deploying machine learning models that predict and model creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors.
This role requires close collaboration with our Data Analytics and Data Engineering teams to ensure high-quality data is used to train our models. You will work closely with key managers, product owners, and cross-functional partners to drive business decisions and financial inclusion.
Your Responsibilities:
* Develop and deploy interpretable, accurate, and scalable predictive models using datasets generated from our AWS and Snowflake environments.
* Translate model insights into actionable strategies that drive business decisions and financial inclusion.
* Couch and mentor fellow data analysts and engineers to improve overall team performance.
* Ensure efficient delivery through effective planning, engaging with others, prioritizing, and developing, testing, and releasing your work.
* Exhibit and foster company culture and operating principles.
Requirements:
* Masters degree in mathematics, statistics, economics, computer science, or other quantitative disciplines with a focus on data analysis.
* Relevant bachelor's degree in a STEM field with 10+ years of relevant work experience in Machine Learning and Statistics.
* Strong experience in AI and ML in the financial technology or service industry, including working with credit and financial datasets.
* Proven track record in building and deploying machine learning models, with a strong understanding of the theory and tradeoffs behind these techniques.
* Proficiency in statistical and machine learning techniques for predictive modeling, classification, and regression.
* Very strong knowledge of Python and SQL.
* Strong experience with AWS cloud services and tools, including AWS SageMaker for model development, training, and deployment.
* Experience implementing DataOps, MLOps, and/or DevSecOps in the AI, ML, and software development lifecycle.
* Experience working with PyTorch, Scikit-learn, and GenAI models.
* Familiarity with Snowflake for cloud data warehousing, data integration, and efficient handling of large-scale data storage and processing.
What We Offer:
* Competitive salary.
* Remote-first work environment.
* A chance to work with cutting-edge technology and contribute to shaping the future of financial modeling.
About Us:
We are a remote-first organization dedicated to creating innovative solutions for the financial industry. Our team is passionate about using data science and machine learning to drive business decisions and financial inclusion.
How to Apply:
To apply for this exciting opportunity, please submit your resume and a cover letter outlining your experience and qualifications. We look forward to hearing from you!