KOHO operates a full-stack consumer fintech app serving 1.7M+ Canadian users with banking, lending, and credit tools. The tech stack reveals a data-heavy operation: Python, SQL, dbt, Airflow, and Spark power a reporting and analytics layer sitting atop AWS infrastructure (Redshift, DynamoDB, Lambda, Glue). Active hiring is concentrated in data (8 roles) over engineering (5), and projects show KOHO is scaling reporting pipelines, building credit risk models for lending, and developing crypto/equities product experiences—signaling a shift toward higher-complexity financial products beyond core banking.
KOHO is a Canadian fintech platform founded in 2014, headquartered in Vancouver. The product integrates spending (Mastercard), saving, borrowing, credit building, and budgeting into a single mobile application. The company has grown to serve over 1.7 million users across Canada. Revenue-generating surfaces include credit products (credit building, lending with risk modeling) and investment experiences (crypto, equities). The architecture spans frontend (Angular, React, Ionic), backend (Go, Python), data pipelines (Airflow, Spark, dbt, AWS Glue), and analytics (Redshift, PostgreSQL, DynamoDB).
Backend: Python, Go, SQL. Data: dbt, Apache Airflow, Spark, AWS Glue, Redshift. Frontend: React, Angular, Ionic. Infrastructure: AWS (DynamoDB, Lambda, S3). Analytics: Datadog. Other: PostgreSQL, RabbitMQ, Terraform, NetSuite.
KOHO is developing credit risk models for lending products, scaling reporting pipelines and dashboards, building crypto and equities product experiences, and improving data infrastructure to support cross-domain product launches.
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