Senior Analytics Engineer (Technical Data Analyst)

As a Senior Analytics Engineer (Technical Data Analyst) at BridgeFund, you will bridge the gap between data engineering and business analysis to drive the quantitative capabilities of our SME lending platform. Working closely with data science and risk management teams, your primary objective is to design, implement, and maintain the robust data pipelines and semantic layers that power our credit risk, underwriting, and portfolio performance analytics. Daily responsibilities include optimizing data transformation workflows using dbt, writing complex SQL queries, and utilizing Python to preprocess high-dimensional financial datasets. You will be responsible for translating raw transaction data and business metrics into structured, reliable data models to support statistical analysis, credit decisioning, and automated risk assessment models. The role involves utilizing quantitative methods such as cohort analysis, default probability mapping, and linear regression to monitor portfolio health. To excel, you need deep expertise in data warehousing (such as Snowflake or BigQuery), version control (Git), and modern data stack orchestration tools.