Applied Analyst Manager-Anti Fraud

Applied Analyst Manager-Anti Fraud

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Job details


Guangzhou
2019-09-06 17:27
28962
IT (Information Tech)
Banking

Job description


This role within the Decision Sciences job family supports various analytical projects for the Financial Crime Applied Analytics function. The team will be involved in providing best-in-class Analytics solutions to Complex Investigations, Intelligence & Analytics Systems Delivery, Transaction Monitoring, Network Analysis etc. Across lines of businesses and geographies within the organization.

Responsibilities:

  • Perform regular analysis of data and provide multi-dimensional views of the data to support anti-fraud; design and deploy visualizations to facilitate senior management decision making at tactical as well as strategic level.
  • Perform R&D on available data to come up with new and enhanced analysis of data; leverage advanced statistical/ math modelling where required to provide future state analysis and participate in proactive strategy building.
  • Conceptualize and build analytical solutions using statistical techniques (if required) to provide insight into the changing dynamics of financial crime risk activities; Execute the assigned projects/ analysis as per the agreed timelines and with accuracy and quality through involvement in any or all of the following activities:
  • Data Quality Analysis, Segmentation, Analytical insights
  • Trend Analysis and Targeted solution design to reduce Noise
  • Design and implementation of basic and advanced Contextual Risk models for better and effective Transaction Monitoring
  • Perform regular analysis of data and provide multi-dimensional views of the; design and deploy visualizations to facilitate senior management decision making at tactical as well as strategic level.
  • Ensure adherence with all the applicable compliance policies (Data security policy, AML, operational risk, Functional manual, Group Compliance Manual, Audit recommendations, Internal Control requirements, regulatory guidelines etc.) and business standards of Organization as applicable. Take timely action on Audit comments and be able to demonstrate compliance with Internal controls.
  • Leverage consulting skills to identify process improvement opportunities and demonstrate the value proposition of analytical solutions amongst stakeholders.
  • Mentor, guide and oversee junior team members as required.

Requirement

· Graduation / Post Graduation degree in Computer Science, Statistics, Mathematics, Economics or any other quantitative discipline.

  • Knowledge of statistical techniques is required.
  • Should be highly skilled in communicating complex ideas, Machine Learning and Advanced Analytics techniques.
  • Should be adept in using MS Office with exceptional MS Excel Skills. Exposure to VBA will be advantageous.
  • Good command of English is desired. (speaking, verbal and written)
  • Experienced in visualization technologies such as Qlikview/Spotfire/Tableau would be a plus.
  • 5~7years of working in Analytics (Financial Service domain would be a plus) with excellent data engineering skills using SQL, Python/R, Hive/Scala/Spark; solid understanding of OOP for candidates with Computer Science background.
  • Team leading experience is required.

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