Roles & Responsibilities:
- Candidate should have experience in Model life cycle management which involve model development, model validation, model implementation and monitoring in risk management domain.
- You will be expected to perform and implement the model logic, usage with front line teams.
- Hands on developing model using R Studio, Spark and AWS/Cloud Services
- Candidate should have strong exposure and hands on model data attribute and downstream analysis.
- Responsible for developing PD, LGD and EAD model using R
- Expertise in data analysis, data discovery, data lineage and source to target mapping document creation according to business requirement.
- Build and implement the model using R/Python programming. · You should have strong experience in migrating scoring risk model across platforms and tools.
Essential Skills:
- Experience across Enterprise BI/Big Data/DW/ETL technologies such as Teradata, Hadoop
- Experience leading discussions and presentations. Experience in driving decisions across groups of stakeholders.
- Extensive experience in large enterprise environments handling large volume of datasets with High Service Level Agreement(s)
- You will be expected to perform and implement the model logic, usage with front line teams.
- Hands on developing model using R Studio, Spark and AWS/Cloud Services. Should have strong exposure and hands on model data attribute and downstream analysis. ·
- Min 5+ years of working experience with SQL, Teradata and Hadoop ·
- Design and develop highly reliable and scalable data pipelines and data platforms with comprehensive test coverage.
- Expertise in data analysis, data discovery, data lineage and source to target mapping document creation according to business requirement.
Education Qualification:
- Bachelor’s degree in engineering in Computer Science/Information Technology