Machine Learning Engineer - Financial Models
The Opportunity:
We are seeking a highly skilled Machine Learning Engineer to develop and deploy advanced predictive models that analyze 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 role requires a high degree of 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 (e.g., Data Engineers, Data Analysts, Backend Engineers, Marketing, Sales). The Machine Learning Engineer will focus on creating interpretable, accurate, and scalable predictive models utilizing datasets generated from our cloud environments.
In addition to the technical responsibilities, you will coach and mentor your fellow data analysts and data engineers. You will ensure efficient delivery through effective planning, engaging with others, prioritizing, and developing, testing, and releasing your work. You will exhibit and foster a culture of excellence and innovation within the organization.
Core Competencies
* Expert programming, software, and data development skills – You can independently devise and implement solutions to problems with minimal explanation needed.
* Strong communication skills – You can efficiently translate between technical and non-technical audiences and have strong writing skills.
* High standards – Your work is of the highest quality, and you continue to raise the bar within your immediate team and our organization.
* Balance velocity with long-term goals – You balance thinking big with delivering the right thing in an agile and speedy manner. You are curious, flexible, and nimble in your approach and implementation.
* Heart of a teacher – You are a capable mentor and able to inspire and empower others on your team.
* Getting work done and driving excellence – You strive for excellence and prioritize delivering high-quality outcomes and projects.
* Adaptability – You thrive in an environment that changes quickly and is constantly presenting new challenges.
Required Skills and Qualifications
* Mastery in AI and ML techniques, particularly in the financial technology sector.
* 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.
* Experience working with model registry tools such as MLflow, SageMaker Model Registry, or other similar systems, to track, version, and manage machine learning models throughout their lifecycle.
* Familiarity with Snowflake for cloud data warehousing, data integration, and efficient handling of large-scale data storage and processing.
Benefits
We offer a competitive salary and benefits package, including remote work options and opportunities for growth and professional development.