Analytics Engineer, Risk
Socket.dev · Toronto, Canada ·
- Category
- Data analytics
- Experience
- 3+ years
- Salary
- CAD 80,000 – 110,000 / year
Socket.dev · Toronto, Canada ·
Analytics Engineer on Propel's Risk Model Development team, building and maintaining Python/SQL ETL pipelines that feed credit-risk ML models — including feature engineering for tabular and time-series data, monitoring production data health, and standardizing ingestion of new data sources — with Docker/Kubernetes and AWS support.
Propel (TSX: PRL) is the fintech company building a new world of financial opportunity by facilitating access to credit for consumers underserved by traditional financial institutions. Through its AI-driven platform, Propel evaluates customers in a more comprehensive way than traditional credit scores can. Our revolutionary fintech platform has already helped consumers access over one million loans and lines of credit and over one billion dollars in credit.
To build a new world of opportunity we bring together the brightest talent to help us build opportunities. We are entrepreneurs and believe in measuring success through results and growing within; talent and hard work never goes unnoticed. At Propel, we are here to change the way employees, customers and shareholders succeed together.
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. It is also why we are one of North America’s fastest growing companies and a Best Place to Work.
Join us as we change the way employees, customers and shareholders succeed together.
You thrive in a vibrant, entrepreneurial organization where your ideas are valued. You are motivated by goals, a self-starter, and enjoy wearing multiple hats in a fast-growing fintech environment.
You are a builder at heart—someone who prefers creating reliable data pipelines over another dashboard. You thrive on owning the “plumbing” that delivers clean, timely data to machine learning models and enjoy turning manual, messy processes into repeatable automation. As the Analytics Engineer, Risk, you’ll join the Model Development team within Risk, working closely with the Manager, Model Development, Data Scientists, and Model Developers. This highly technical, hands‑on role focuses on the data infrastructure supporting credit risk models, including ETL pipelines for model training and scoring, standardized ingestion of new data sources—including UK data—and day‑to‑day delivery of stable production data. You’ll work primarily in Python and SQL with tabular, time‑series, and, as we grow, graph-structured data such as Neo4j.
$80,000 - $110,000
Final compensation is determined by market conditions, location, and the candidate’s experience, skills, and education. This role may also be eligible for performance‑based incentive programs and total compensation may include variable incentives, such as bonuses and commissions.
This posting is for an existing vacancy within our organization.
Propel brings together the brightest talent to build opportunities. We are entrepreneurs who measure success through results and growth from within; talent and hard work never go unnoticed. Our team fosters curiosity and growth, making Propel one of North America’s fastest‑growing companies and a Best Place to Work.
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 your needs.
We use AI to assist in reviewing applications and assessing candidates. These tools support our recruitment team, however, all hiring decisions are made by ourtrained hiring managers and recruitment professionals, not AI.