Lead Assistant Manager

Data Engineer – Profitability & Risk Data Platform

Job Summary

We are seeking a Data Engineer to design and implement the data infrastructure that powers bank’s Customer Risk Management framework across Unsecured, Secured, and Insurance verticals. The role is focused on building automated data pipelines, enabling a single source of truth, and supporting profitability modeling, risk analytics, and real-time strategy simulations.

Key Responsibilities

• Design and build automated, metadata-driven data pipelines for ingesting and transforming data across product, risk, finance, and marketing systems.
• Implement data integration frameworks that support the unified view of customer-level metrics.
• Enable account-level profitability computation by integrating defined revenue and cost parameter models into the data layer.
• Ensure data quality, validation controls, and reconciliation processes are embedded into every pipeline.
• Develop data structures that support real-time dashboarding and tactical strategy monitoring using Power BI or similar BI tools.
• Collaborate with risk and strategy teams to support segmentation, scenario simulation, and CLTV analytics.

Required Skills & Experience

• 5–8 years in data engineering, within financial services or retail banking.
• Expertise in SQL, Python, and modern ETL frameworks.
• Experience designing metadata-driven architecture.
• Strong understanding of data warehousing, data modeling, and cross-domain schema design.