**Job Title:** Senior Data Engineer
We are seeking a highly skilled and experienced data engineer to join our team.
**The Opportunity:
* 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.
* Work closely with the Data Analytics and Data Engineering teams to ensure high-quality data is used for model training and integration into production systems.
**Key Responsibilities:**
* Create interpretable, accurate, and scalable predictive models using datasets from our AWS and Snowflake environments.
* Translate model insights into actionable strategies that drive business decisions and financial inclusion.
* Coach and mentor fellow data analysts and engineers to ensure efficient delivery through effective planning, prioritizing, and developing, testing, and releasing work.
* Foster company culture and operating principles.
**Requirements:**
* Master's degree 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 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 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.
**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 startup environments.
* Software engineering experience with microservices.
* Compliance knowledge, preferably in SOC2-certified or ISO-certified organizations.
**What We Offer:**
* Competitive salary.
* A remote-first work environment, allowing you to work independently while maintaining collaboration with your team.
**About Us:
We prioritize investing in our people with benefits designed to support your personal and professional growth.
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