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Senior Analyst - Data Wrangling - (24000Q7L)
Missions
ROLE SUMMARY:
Construction of modelling and monitoring bases and data quality management for regulatory credit risk (PD, LGD and EAD) and provision (IFRS9) models.
ROLE DESCRIPTION:
- Construct modelling databases and analyze the data quality for the same.
- Identify and resolve medium to high-level issues around data collection, wrangling and data quality.
- Detect and define database creation process enhancements, regularly.
- Prepare, attend and contribute to process governance meetings with stakeholders modelling and IT teams.
- Train analysts.
Profile
EDUCATIONAL QUALIFICATION:
- Masters in a quantitative subject such as Mathematics, Physics, Economics, Finance or Engineering, or a track record of performance that demonstrates this ability.
ROLE QUALIFIERS:
- Understanding of data wrangling concepts like, cleaning, organizing, and transforming raw data into the desired format.
- knowledge in Python, with desired exposure to SAS and/or R languages.
- Desired familiarity with credit risk model data leveraged for PD, LGD and EAD model creation.
- Demonstrated strong communication, and problem-solving skills.
- Desired understanding of regulations governing data.
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