• Competitive
  • Kuala Lumpur, Malaysia
  • Permanent, Full time
  • Citigroup Transaction Services (M) Sdn Bhd
  • 12 Dec 17

MYS CTSM KL - AML SMV Independent Validation Statistician

MYS CTSM KL - AML SMV Independent Validation Statistician

  • Primary Location: Malaysia,Wilayah Persekutuan,Kuala Lumpur
  • Education: Master's Degree
  • Job Function: Risk Management
  • Schedule: Full-time
  • Shift: Day Job
  • Employee Status: Regular
  • Travel Time: Yes, 10 % of the Time
  • Job ID: 17077881


Independent Validation Job Description (Manager/AVP)
  • The Statistician will have responsibility to conduct independent validation on anti-money laundering (AML) tools/models, statistical analyses and optimization of the transaction monitoring system. The Statistician will execute tool/model validation, complex statistical analysis, data visualizations, data processing based on the globally consistent standard, procedures and templates which incorporate, regulatory guidelines (OCC 2011-12), the Bank's Model Risk Management Policy and framework and industry leading practices. The successful candidate is expected to execute with a high level of integrity, quality and attention to detail in both the work performed and its documentation, and present findings in a clear, understandable manner both in writing and verbally
  • Requirements include a background in statistics and/or mathematics, preferably also experience with data analysis and/or data mining
  • Fluency in English and very good oral and written communication skills are necessary as is the ability to read and create formal statistical documentation
  • Experience and knowledge in banking, finance and/or AML will be desirable
  • Perform tool/model independent validation of complex predictive tool/models (decision trees, linear regressions, tools/models for binary outcome) within the agreed schedule and ensure execution follows the global methodology and is in compliance with tool/model governance policy, guidelines and OCC requirements
  • Apply statistical methods to organize, analyze, and interpret data to perform tool/model validations
  • Provide data pulls and reports directly from Oracle Database. Write efficient SQL and PL-SQL queries in complex Very Large Scale database environment. Monitor time and capacity used during query execution, design efficient query execution plans
  • Provide technical support to the team by implementing automation tools and integrating MS Office Excel, Oracle Database and SAS platforms. Design technical solutions supporting complex data reporting and analytical tasks. Generate complex graphical data reports, including data crosstabs, scatter plots and statistical measures
  • Ensure Data Quality and Reliability. Design and implement various Data Quality methods in SAS and Oracle database. Run quality checks against database and report all data issues. Detect data anomalies and identify source of data problems.  Recommend data quality solutions
  • Build benchmark or challenger tools/models to replicate tool/model results, evaluate tool/model assumption, data completeness, limitations, conceptual soundness, functional soundness, modelling methodology, outcome analysis, etc. of tools/models being validated
  • Prepare tool/model validation reports in a detailed, structured and clear manner, describing the outcomes of the analysis performed and include a conclusion based on the validation
  • Use visualization techniques to display data and the results of analysis in clear straightforward presentations that can be understood by non-technical readers
  • Conduct annual tool/model performance assessments to ensure existing tools/models are working as intended and meet the criteria and /or make tool/model improvement recommendations
  • Distribute validation reports and consult with tool/model and business owners and other stakeholders such as senior management, on tool/model validation results


  • Minimum of 3 years of experience in SAS and/or R software
  • Minimum of 3 years of experience with relational databases such as Oracle, SQL Server, and Data Marts/Data Warehouses
  • Strong programming skills (VBA, SAS 4GL, SQL, R)
  • Statistical/data analytical skills - including both calculation and interpretation of outcome
  • Experience in reporting the results of analysis in clear written form, and in presenting the findings during meetings and conference calls
  • Understanding of technical requirements, ability to communicate with Technical Support
  • Proficiency in data visualization and scripting/programming languages (VBA, SAS 4GL,SQL/PL-SQL, R)
  • Experience in designing AML detection and monitoring systems
  • Experience with very large transactional systems. Knowledge of Mantas will be considered as asset
  • Master's Degree in statistics/mathematics/technical science (PhD degree is considered as extra asset, but minimum requirement is MA degree)
  • Degree in economics/banking may be considered if strong analytical skills proved