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Leading the way in International Banking. Standard Chartered is one of the world's most dynamic and exciting international banks. Once you have joined the team, we offer many opportunities to expand and grow your career.
This role is for the position of Senior Analyst within the Financial Crime Compliance Model Validation team. The successful candidate will contribute to the department's 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.
Key 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. · Assist with the evaluation of model monitoring and governance frameworks models. · Ensure timely identification of issues and that projects are completed to the required standard. · Qualitative review of Financial Crime Compliance (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.
Qualifications & Skills
Essential: · At least graduate level qualifications in statistics, finance, econometrics or related quant field. · Expertise in analytics, developing, maintaining or validating statistical models of Client FCC Risk or AML surveillance systems within banking industry. · Proficient in statistical and data analysis of large datasets using data management software including SAS and Excel. · Knowledge of banking data and IT infrastructure, including data management and data quality control · Knowledge of financial crime compliance regulatory environment · Strong focus on quality control and attention to detail. · Curious, with ability & experience of speaking up and challenging perceived wisdom.
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 compliance and experience in dealing with complex technical issues will be highly regarded. · Exposure to developing and automating risk MIS / model performance monitoring. · Advanced VBA or other programming skills. · Effective presentation and business engagement skills at senior executive level.
· Ability to understand and interpret regulatory requirements and explain such interpretation to stakeholders and senior management.
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