Job Summary
We are seeking a highly skilled ML Engineer to develop and deploy advanced machine learning models that predict and model creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors. As a key member of our team, you will work closely with the Data Analytics and Data Engineering teams to ensure high-quality data and seamless integration into production systems.
This role requires a high degree of collaboration with key managers, product owners, and peers from various departments to drive business decisions and financial inclusion. You will focus on creating interpretable, accurate, and scalable predictive models utilizing datasets generated from our AWS and Snowflake environments. Additionally, you will translate model insights into actionable strategies that drive business growth.
Responsibilities include coaching and mentoring fellow data analysts and engineers, ensuring efficient delivery through effective planning, engaging with others, prioritizing, and developing, testing, and releasing your work. You will also exhibit and foster a company culture and operating principles.
Key Qualifications
- Master's degree in mathematics, statistics, economics, computer science, or other quantitative disciplines with a focus on data analysis. A relevant bachelor's degree in a STEM field with 10+ years of relevant work experience in Machine Learning and Statistics is also considered.
- Very 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.
- Strong knowledge of Python and SQL programming languages.
- Experience with AWS cloud services and tools, including AWS SageMaker for model development, training, and deployment, and AWS Bedrock for building and fine-tuning foundation models.
- Familiarity with Snowflake for cloud data warehousing, data integration, and efficient handling of large-scale data storage and processing.
What We Offer
We invest in our people with benefits designed to help you thrive both personally and professionally:
* Competitive salary
* Remote first work environment - Where we trust you to get your work done.