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
