Lead Data Scientist - Data Wrangling
Société Générale (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 25–40 LPA
Posted 29d ago
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Job description
Structured overview of role & requirements
About This Role
- Construct and manage modelling and monitoring databases for regulatory credit risk (PD, LGD, EAD) and IFRS9 provision models.
- Lead data quality management including root-cause analysis and resolving data quality issues with minimal supervision.
- Lead process governance meetings and contribute to project enhancements, liaising with modelling and IT stakeholders.
Minimum Requirements
- Master's or PhD in quantitative fields like Mathematics, Physics, Economics, Finance, or Engineering, or equivalent performance track record.
- Proven expertise in data wrangling including cleaning, organizing, and transforming raw data.
- Strong programming skills in Python; exposure to SAS and/or R desired.
- Familiarity with credit risk model data used for PD, LGD, and EAD model creation.
Ideal Candidate Profile
- Experienced in handling intermediate-level data wrangling challenges independently.
- Capable of leading modelling and monitoring database creation and managing change request projects with minimal supervision.
- Able to lead process governance and knowledge sharing within expert peer teams.