The Opportunity
We are seeking a talented professional to apply advanced machine learning models that predict and model creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors. This role will work closely with the Data Analytics and Data Engineering teams to ensure the models are trained on high-quality data and integrated into production systems.
This position requires strong collaboration with key managers, product owners, and other peers and cross-functional partners that rely, produce, and interact with the data domain across the organization. The successful candidate will focus on creating interpretable, accurate, and scalable predictive models utilizing datasets generated from our cloud environments.
Additionally, you will translate model insights into actionable strategies that drive business decisions and financial inclusion. In addition to technical responsibilities, you will coach and mentor your fellow data analysts and engineers. You will ensure efficient delivery through effective planning, engaging with others, prioritizing, and developing, testing, and releasing your work.
Key Responsibilities
* Apply advanced machine learning models to predict and model creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors
* Collaborate with Data Analytics and Data Engineering teams to ensure models are trained on high-quality data and integrated into production systems
* Create interpretable, accurate, and scalable predictive models utilizing datasets generated from cloud environments
* Translate model insights into actionable strategies that drive business decisions and financial inclusion
* Couch and mentor fellow data analysts and engineers
* Ensure efficient delivery through effective planning, engaging with others, prioritizing, and developing, testing, and releasing your work
Requirements
* Mastery in mathematics, statistics, economics, computer science, or other quantitative disciplines with a focus on data analysis
* 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 programming languages
* Strong 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
* Experience implementing DataOps, MLOps, and/or DevSecOps in the AI, ML, and software development lifecycle
* Experience building ML models 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
Preferred Qualifications
* PhD degree in mathematics, statistics, economics, computer science, or other quantitative disciplines with a focus on data analysis
* Experience working in FinTech or PropTech sectors
* Familiarity with the dynamics of startup environments
* Experience with microservices
* Experience working in SOC2-certified, ISO-certified, or similar organizations
Benefits
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
],