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About the Role
Propel is seeking an Analytics Engineer, Risk to join the Model Development team. This role focuses on the data infrastructure supporting credit risk models, including ETL pipelines for model training and scoring, standardized ingestion of new data sources, and day-to-day delivery of stable production data. You will work primarily in Python and SQL with various data structures.
Responsibilities
- Own the integration of new data sources into Propel’s model-ready data standards, ensuring consistent schemas, definitions, and quality across regions (CA/US/UK).
- Design, build, and maintain ETL pipelines that prepare and deliver data for model training, retraining, and scoring across multiple model types.
- Build and maintain pipelines within the shared ETL/orchestration framework for model development, following established templates and patterns.
- Build feature engineering and data transformation logic for tabular and time-series data.
- Monitor the health and stability of data pipelines feeding models in production; proactively identify and resolve data drift, quality issues, and pipeline failures.
- Write clean, well-tested, production-grade Python code, including scripts and reusable packages or modules.
- Work with containerized model deployments using Docker and Kubernetes, as well as cloud infrastructure such as AWS and S3 for data storage and workflow orchestration.
- Query and transform data from relational databases and data warehouses using SQL.
- Document data sources, pipeline logic, and transformations clearly.
- Collaborate closely with Data Scientists and Model Developers to translate model requirements into scalable, production-ready data pipelines.
Requirements
- Bachelor’s degree in computer science, data engineering, statistics, mathematics, or a related quantitative field.
- Minimum of 3 years of hands-on Python skills and comfortable writing production-quality, testable, reusable code.
- Familiarity with common data and ML libraries such as pandas, NumPy, and scikit-learn.
- Experience building or maintaining ETL or data pipelines.
- Comfortable working with different data shapes: tabular and time-series data.
- Solid SQL skills for querying and transforming data into relational databases such as MySQL and/or data warehouses.
- Understanding of the ML data lifecycle, including feature engineering, training and scoring data preparation, and model monitoring and drift concepts.
- Experience with version control using Git and basic CI/CD practices.
- Strong communication and collaboration skills, with the ability to work closely with Data Scientists, Model Developers, and Infrastructure/Engineering stakeholders.
- Experience in fintech, credit risk, or another regulated or data-intensive industry is a plus.
- Experience using generative AI tools such as ChatGPT, Claude, or Copilot to accelerate day-to-day engineering work is an asset.
Skills
- Python
- SQL
- ETL pipelines
- Data infrastructure
- Model training
- Model scoring
- Data ingestion
- Tabular data
- Time-series data
- Graph-structured data
- Neo4j
- tsfresh
- Docker
- Kubernetes
- AWS
- S3
- MySQL
- Git
- CI/CD
- pandas
- NumPy
- scikit-learn
- Metaflow
- Airflow
- Prefect
- Dagster
- Snowflake
- EKS
Location
- Remote
Work Type
- Full-time
Experience Level
- 3+ years of hands-on Python skills
Education Level
- Bachelor’s degree in computer science, data engineering, statistics, mathematics, or a related quantitative field
Salary/Compensations
- $70,000 - $100,000
Benefits
- Growth and opportunity – we pride ourselves on promoting from within
- Incredible company culture
- Competitive salary and health benefits
- Comprehensive vacation package
- Group health and dental benefits
- Group RRSP program
- Support for new parents
- Diverse and inclusive workplace
About the Company
- Propel is a fintech company building a new world of financial opportunity by facilitating access to credit for consumers underserved by traditional financial institutions.
- Our AI-driven platform evaluates customers more comprehensively than traditional credit scores.
- We have helped consumers access over one million loans and lines of credit and over one billion dollars in credit.
- We are entrepreneurs who believe in measuring success through results and growing within.
- We are a team of passionate entrepreneurs who foster curiosity and growth in our employees.
- Our culture is why we have been so successful and why our employees choose Propel to build their careers.
- We are one of North America’s fastest growing companies and a Best Place to Work.
Equal Opportunity
- Propel welcomes and encourages applications from all groups, including Indigenous peoples, women, visible minorities, persons with disabilities, people from gender and sexually diverse communities, and those with intersectional identities.
- Should you require accommodation throughout any stage of the recruitment and selection process, please specify your requirements when submitting your application and we will work with you to meet your needs.