• Job Description

  Req#: 1420798

  At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

  Financial Crime Data Analytics – Job Description

  • The position's primary responsibility is to conduct MIS reporting, drive periodic reviews on progress to internal/external stakeholders and coordinate detailed discussions and storyboarding with the end clients.
  • Need to define smart ways to manage requirements of multiple stakeholders alike with the same data set but with appropriate narratives that meet’s stakeholder’s requirements.
  • General understanding of marketplace AML issues and AML suspicious activity transaction monitoring systems, data mining/analytical tools, and automated solutions is helpful. Compliance specific experience preferred.
  • This position is responsible for supporting the development and maintenance of models and methodologies for Financial Crime risk measurement.
  • Should have exposure to Productivity improvement Planning, Process Improvement through governance, Regulatory Compliance Registers.
  • Good knowledge of Financial Crime and AML/Sanctions regulations desirable. Proven and progressive experience in financial services data analysis and/or application development.

  Key Skills:

  • 6 - 10 years' experience in the data engineering and reporting (baking/ financial services industry preferred)
  • Ability to develop programs within MS Office applications and can turn complex or time-consuming tasks into automated processes, saving time and improving the quality of reporting.
  • Should possess good knowledge of some of the key data analytic applications such as Python, R, HTML, CSS, JavaScript, SQL, MS Access, MS Excel Macros, MS Excel Functions, Power BI, Power Query etc.
  • Proficient in MIS Reporting, Dashboarding, Text mining, data intuition etc.
  • University degree in computer science - desirable, financial crime or related fields
  • Excellent communicator with strong inter-personal and influencing skills
  • Need to be flexible in attitude and time expectations, should have the ability to manage deliverables in short notice with accuracy.
  • Problem-solving and Analytical skills, lateral thinker with an ability to interpret and solve complex data related challenges.

  Responsibilities:

  • The role involves working with different specialised applications to pull data from databases & other sources and use skills to infer and identify patterns and trends in the information. This information will feature in risk intelligence deliverables for senior Bank stakeholders.
  • The role will include presenting data in charts, graphs, tables, designing and developing relational databases for collecting data across the Bank and building or designing data input or data collection.
  • Lead identification of data sources and obtain appropriate access; perform data extraction, aggregation, analysis, and quality checking from multiple data sources using Bank platforms/ EY Platforms.
  • Ability to do Data analysis using AI and machine learning and consolidation of huge data sets for reporting and analysis
  • Use the data produce meaningful and actionable intelligence outputs and be active in the ongoing development of these techniques and models to improve overall performance
  • The role holder will lead analysis on individual projects and drive their implementation, sourcing qualitative inputs from peers

  Detailed outline:

  • Should possess inherent aptitude towards bringing in efficiencies in reporting through automation and cutting down non-value adding processes.
  • The successful candidate is expected to have proven experience within Financial Crime, data analytics, testing data, risk models, and creating solutions.
  • Synergies and collaborate with stakeholders to understand business requirements and problem formulation
  • Translate business requirements into structured data extraction requests for data analysts, research and suggest suitable methodologies to obtain targeted output.
  • Review effectiveness metrics to further optimise thresholds and parameters, participate in feedback loop from analysts to pinpoint areas of improvement
  • Manage end to end analytics workflow, including but not limited to documentation, sharing of insights, metric tracking and reporting, etc.
  • Exposure to advance analytical tools in AML and others.
  • Performing ad hoc Extract, Transform & Load (ETL) processes using desktop tools such as Excel and statistical analysis techniques (significance, variance, correlations, decision trees/regression etc.)

  EY | Building a better working world

  
  
  EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

  
  
  Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

  
  
  Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

• About the company

  EY provides consulting, assurance, tax and transaction services that help solve our client’s toughest challenges and build a better working world for all.

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