8 дней назад
Data Analyst (Credit Risk)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst (Credit Risk) (SQL/SAS): Building reliable data assets, data marts, and datasets for credit risk model monitoring and validation with an accent on data quality, complex data analysis, and banking risk processes. Focus on developing SAS data collection programs, investigating data quality issues, and supporting model development and validation teams.
Location: Manila (World Plaza), Philippines
Company
is an international bank group operat across approximately 40 countries with around 65,000 employees.
What you will do
- Analyze credit risk model data requirements and translate them into effective data solutions.
- Develop and maintain SAS programs support data collection activities.
- Investigate and resolve data quality issues across large datasets from multiple source systems.
- Create technical documentation for end-to-end data processes.
- Deliver data marts and datasets to model development and validation teams.
- Partner with stakeholders to improve data collection, process, and report practices.
Requirements
- Degree in Mathematics, Statistics, Computer Science, Data Science, Information Management, or a related field.
- Experience in data analysis within bank, finance, or credit risk environments.
- Strong SQL and SAS 4GL programm skills.
- Ability to analyze complex datasets, draw meanful conclusions, and solve problems.
- Strong communication skills, attention to detail, and commitment to data quality.
- Ability to manage priorities and deliver results in a fast-paced environment.
Nice to have
- Knowledge of bank credit processes and credit risk modell concepts, includ PD, LGD, EAD, IFRS9, IRB, and Definition of Default.
- Knowledge of bank balance sheets and financial report.
- Experience with Agile/Scrum environments.
- Familiarity with Bash, Git/GitLab, Jenkins, and Confluence.
Culture & Benefits
- Collaborative, inclusive, and international work environment.
- Opportunities to work on complex risk and analytics challenges.
- Continuous learn and professional development.
- Exposure to global stakeholders and bank processes.
- Opportunity to contribute to data-driven decisions affect customers and businesses.
hirify.global-process">Hir process
- Submit the application through the official career site and Workday.
- Use only official application platforms and verify recruitment communications.
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