Risk / Decision Science Analyst – SAS to GCP Migration

Job description

Role Overview We are looking for a Risk / Decision Science Analyst to support the migration of existing SAS-based Risk use cases to GCP. The role will sit within a Feature Team and combine strong Risk domain knowledge, SAS, Python and SQL/BigQuery expertise to translate existing SAS implementations into scalable GCP-based solutions. Key Responsibilities • Analyse existing SAS programs, macros, calculations and data transformations to understand the underlying business and Risk logic. • Translate SAS-based logic into Python and BigQuery SQL, ensuring functional equivalence and accuracy of the migrated solution. • Understand and apply relevant Risk methodologies, calculations and business rules within the target implementation. • Map existing SAS datasets, variables, joins and transformations to relevant GCP / BigQuery data sources. • Identify data gaps or differences between the SAS and GCP environments and work with Solution Analysts and engineering teams to resolve them. • Implement complex Risk calculations, business rules, aggregations and data transformations using Python and SQL. • Perform functional validation and reconciliation between existing SAS outputs and migrated Python/BigQuery outputs. • Investigate and resolve discrepancies in calculations, data or processing logic, ensuring the intended Risk/business outcome is preserved. • Develop reusable approaches and coding patterns to accelerate migration across Cards, Loans, PCA, Mortgage and Asset Finance use cases. • Document conversion logic, assumptions, data mappings and validation outcomes. • Collaborate with Risk Solution Analysts, Risk SMEs and GCP engineers to clarify requirements and deliver use cases. • Participate in Agile Feature Team activities including estimation, sprint planning, development, testing, defect resolution and delivery. Required Skills & Experience • 6–10 years of experience in Risk Analytics, Decision Science, Credit Risk or a related analytical role within Banking / Financial Services. • Strong hands-on SAS programming experience, including DATA steps, PROC SQL, macros and complex transformations. • Strong understanding of Risk / Credit Risk concepts and methodologies. • Hands-on Python experience for data processing, analytical calculations and implementation of business logic. • Strong SQL skills and practical experience with BigQuery or equivalent cloud data platforms. • Demonstrated ability to understand complex SAS implementations and translate SAS logic into Python and SQL. • Strong understanding of data structures, joins, transformations, aggregations and data quality. • Strong analytical, problem-solving and debugging skills, with the ability to investigate complex output differences. • Ability to work effectively across Risk, business and technology teams. Preferred Experience • Experience in SAS modernisation / migration to cloud platforms, particularly GCP. • Knowledge of IFRS 9, Basel, PD, LGD, EAD, lending or customer decisioning. • Experience with GCP data services, particularly BigQuery. • Exposure to Looker or other BI / visualisation tools. • Experience developing reusable analytical frameworks or migration accelerators. • Experience working in Agile delivery environments. Pay: Up to ₹3,500,000.00 per year Work Location: Hybrid remote in Gurugram, Delhi