About The Role

Our Origination Decisions team builds the systems that decide, in real time, whether to grant a loan to an applicant and under which conditions (amount, term, interest rate). The team is small (4 people) and each member owns a slice of the stack end-to-end:
- a Decider architect, who designs how decisions are composed and how we model profit;
- a Data Scientist, who trains the most accurate ML models feeding those decisions;
- a Deployment engineer, who ships the deciders to production and owns the quality gates around them;
- and the Data Pipeline engineer we are hiring with this role.

On top of your specialty, you will own a subset of our loan products end-to-end: you will build their datasets, train their models, configure their decider and follow them to production. This "dogfooding" keeps you close to the pain points your pipeline creates and is the main feedback loop that drives the roadmap of your area.

What you will own

As the Data Pipeline engineer you are the main guarantor that the rest of the team always has fresh, trustworthy,



and easy-to-use datasets to train models, analyze behavior and make decisions on. Concretely, you will:

Build and maintain the data pipeline
- Own the team's Dagster pipeline.
- Keep assets fresh, observable, and cheap to recompute. Make it obvious to other team members which datasets exist, what they contain, and how to consume them.

Bring in new data sources
- Partner with external data providers on proofs-of-concept: organize backpopulation runs, send them the required samples, store and version the returned data, and evaluate whether the signal is worth productizing.
- Similarly, explore the data available internally that is under-used for purpose of origination decisions. For instance, transcript of collections calls could become features (for loan renovations), or groundtruth (to get a better picture of the customer than just the payments they made).
- When a source is promising, integrate it end-to-end:

📌 Data Pipeline Engineer, Origination Decisions (Ciudad de México)
🏢 Aviva
📍 Ciudad de México