VP, Data Analyst, GTO

  • Competitive
  • Singapur, Singapore
  • Festanstellung, Vollzeit
  • United Overseas Bank
  • 22 Feb 18

VP, Data Analyst, GTO

  1. Proven working experience as a data analyst, with experience in large data warehousing and Hadoop implementation projects in financial services industry
  2. Good functional knowledge of Retail bank, Wholesale & Private Bank products & business processes
  • Hands on experience of executing projects in Finance domain - expertise in financial reconciliation, GL unification, profitability, fund transfer pricing, budgeting, forecasting
  • Experience with Credit Risk domain - computation of risk weighed assets, economic capital, S29, MAS, BASEL reporting, economic capital, cross border exposure
  • Knowledge & experience with products such as SAP GL, OFSA (profitability, FTP), FITAS, ARF (Trade Finance & Accounts Receivables), Moody's RaY, Murex, Cash Management & Remittance would be of additional advantage
  1. Good expertise in designing financial services data models & data modeling tools
  • Knowledge & experience of having used industry standards data models such as FSDM
  • Knowledge & experience in designing normalized & dimensional models to support different analytical users
  1. Hands on experience of doing data mapping across different layers in data architecture - from source to target state
  2. Good experience in implementing data governance processes
  • Experience in doing data profiling & implementing data quality rules using ETL tools like Informatica Data Quality
  • Knowledge & experience with reference data management, data standards, expertise with Teradata MDM
  • Experience of building business glossary & providing end to end data lineage using tools like Informatica Metadata Manager
  1. Proven problem solving skills & analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  2. Exposure to Data Warehouse & Big data tools for Information Management
  • ETL & Data governance tools - Informatica PC, DQ, MM, Teradata GCFR, MDM
  • RBMS - Teradata, Oracle, NoSQL
  • Reporting - Qlik, OBIEE, Tableau, BO
  • Cloudera administration suite
  • Hadoop languages & tools - Spark, Python, R, Pig, Hue, Impala, Hive, Hbase, Informatica IDL, BDM, Kafka, Flume, Machine Learning Algorithms
  1. Experience & knowledge of building security framework involving data classification & access controls in Hadoop and Teradata
  2. Good experience of implementing large scale, multitrack projects involving mix of waterfall and agile approaches
  3. Knowledge of defect management - leading defect triage, resolution & reporting
  4. Good attitude, team player, result driven, self motivated and keenness to learn
  5. Experience in handling large teams, demonstrated ability to learn fast and apply to project execution
  6. Good communication & interpersonal skills, ability to engage different stakeholders in business, operations & technology