- Strong understanding of Basel Regulatory Capital framework; exposure to US regulations is preferable
- Experience into both Basel Standardized and Advanced approaches is required, including demonstrated knowledge to subject areas of Market Risk, CVA Risk, Counterparty Credit Risk in additional to Credit Risk
- Experience in data analytics, data profiling, Source to Target (S2T) data mapping, analyzing the System of Record (SOR) data and its Data Quality (DQ) rules to identify data issues in SORs
- Strong SQL / NoSQL and data analysis experience, able to write / understand complex SQL, HiveQL, with hands-on Oracle SQL, DBeaver and Hive experience
- Experience with Python, Google Cloud, Big Query, Machine Learning and Data Automation / Visualization techniques
- Experience with Big Data frameworks; Spark, Hive, Hadoop, Flink, Operational Data Stores (ODS), amongst other foundational data warehousing and modeling principles
- Identification of business requirements and development of functional requirement documentation for new data sources and attributes, including design, prototyping, testing, and implementation of report owner and regulatory requirements.
- Document and understand core components of solution architecture including data patterns, data-related capabilities, and standardization and conformance of disparate datasets.
- Experience with of MS Excel, Power Query, and other analytical tools, e.g., Tableau
- Critical thinking and complex problem-solving skills (data application)
- Product Management, data migration, data analytics working experience is a plus
- Experienced in Agile delivery concepts or other project management methodologies
- Excellent Communication Skills; Verbal, Written
- Excellent relationship building, presentation and collaboration skills
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