Manager, Model Validation

  • Negotiable
  • Singapore Singapore Singapore SG
  • Permanent, Full time
  • Standard Chartered Bank Singapore
  • 23 May 18 2018-05-23

This role is for the position of Model Validation Manager within the Retail & Financial Crime Control Model Validation team. The successful candidate will be primarily responsible for the assessment of statistical models and quantitative rules that enable the bank to manage financial crime risk. The role is Singapore based with Global / SCB group wide responsibilities.

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This role is for the position of Model Validation Manager within the Retail & Financial Crime Control Model Validation team. The successful candidate will be primarily responsible for the assessment of statistical models and quantitative rules that enable the bank to manage financial crime risk. The role is Singapore based with Global / SCB group wide responsibilities.

The Roles Responsibilities

You will work on a variety of statistical models and decision making systems covering many aspects of the model life cycle. These include data management, methodology, programming, quantitative assessment, governance and compliance to standards. The successful candidate will exhibit a pro-active business engagement strategy with responsibilities for the development and maintenance of a robust model risk measurement and reporting system. Key aspects of the role include:

· Independent evaluation of financial crime risk scoring models and rule-based approaches.

· Review of transaction monitoring, name screening and other risk assessment systems.

· Assessment of changes to existing models and related risk data and infrastructure.

· Evaluation of monitoring and other governance frameworks related to risk-based rules and models.

· Assist with the delivery of the validation plan, leading a team of analysts to manage project timelines.

· Qualitative review of Financial Crime Control (FCC) model development process including underlying assumptions & theoretical basis.

· Quantitative assessment of FCC model performance via data evaluation and statistical testing.

· Coordination with FCC model development team and other stakeholders on model issues, achieving suitable resolutions.

· Documentation of findings, communication of results to senior management and presentation to committees.

· Interpretation of new model regulations and latest financial crime control industry information.

Our Ideal Candidate - Qualifications & Skills

Essential:

· At least graduate level qualifications in statistics, finance, econometrics or related quant field.

· Expertise in analytics, developing or validating statistical models within banking industry.

· Good understanding of financial crime, the retail business and flow of transactions.

· Experienced in the calibration, development or analytical review of transaction monitoring systems, name screening systems or other FCC related risk assessment approaches.

· Proficient in statistical and data analysis using data management software including SAS and Excel.

· Ability to understand and interpret financial crime regulatory requirements and explain such interpretation to stakeholders and senior management.

· Knowledge of banking data and IT infrastructure, including data management and data quality control

· Effective presentation and business engagement skills at senior executive level.

· Team leadership and supervisory experience, with strong project management skills.

· Strong focus on quality control and attention to detail.

Desired:

· Post graduate qualifications in statistics, banking, finance, econometrics, mathematics or related quant field (MSc, PhD).

· Understanding of the regulatory environment related to financial crime modelling and experience in dealing with regulators on complex technical issues will be highly regarded.

· Exposure to developing and automating risk MIS / model performance monitoring.

· Advanced VBA or other programming skills.


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