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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.
Design, build and maintain industry leading analytical instruments and programmes that will identify patterns using Data Mining, supervised and unsupervised learning techniques (e.g. Neural Network Analysis, Social Networks Analysis, and Clustering), Rules Based approaches, adhoc analysis.
Keep track of and provide advice to relevant stakeholders on the interpretation and application of regulatory expectations, laws, best practices and policies related to FCC.
Provide governance and oversight over the implementation of FCC-related policies and procedures Globally to ensure compliance with such policies and procedures.
People and Talent
Provide mentoring and develop skills of junior analysts into the financial crime landscape.
Understand technical aspects of systems relevant to CDD, Client Risk Assessments, Name and Transaction Screening, AML Monitoring and Case Management.
Provide advice on the application of risk management frameworks (e.g. ORF, GRA).
Be accountable for identification and escalation of potential risks and issues to senior management through appropriate governance channels and the Quality Assurance framework.
Regulatory & Business conduct
Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
Work with senior members of the FCC team and wider business, to identify risks and steps to mitigate them.
Qualifications & Experience
Bachelor or Advanced Degree in statistics, finance, accounting, mathematics, or relevant quantitative discipline with excellent quantitative methodological skills
8 - 10 years' experience in quantitative analytics and processing using SAS
5 years' analytical experience focused on identifying trends and proposing new or revised analytical approaches to discover illicit activity within data sets
Strong oral and written communications skills and experience defending research findings
Strong skills in both SAS and SQL, plus one other programming language desirable (e.g. VB, R). Proven application of coding paradigms to data environments.
Data gap, ETL, Data Quality and Data Warehousing capabilities
Excellent collaborative and stakeholder skills and a desire to work as a part of a high functioning team of financial intelligence specialists
Project management skills, preferably gained by building similar functions in other global financial institutions
Experience with commercially available AML and Financial Crime software platforms including Detica (formerly Norkom), Fircosoft, MTS, SCStar, Mantas, Falcon and Memento fraud prevention
Experience with HDFS and related client tools desirable.