EY - GDS Consulting - AI and DATA - Fincrime - Senior

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Company profile:

EY's Advisory Services is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional and technical capabilities and product knowledge. EY’s financial services practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, retail banks, investment banks, broker-dealers & asset management firms, and insurance firms from leading Fortune 500 Companies. Within EY’s Advisory Practice, Data and Analytics team solves big, complex issues and capitalize on opportunities to deliver better working outcomes that help expand and safeguard the businesses, now and in the future. This way we help create a compelling business case for embedding the right analytical practice at the heart of client’s decision-making.

Key Responsibilities

The role requires 3-7 years of Financial Services experience with at least 3-7 years of experience in the FinCrime domain in order to:

• Comprehend financial crime risks relating to Anti Money Laundering (AML), Sanctions Screening, KYC and Customer Lifecycle Management (CLM)
• Assess the risk level and perform the KYC requirements to be met depending on the type of client and the transactions
• Process KYC data, risk rating models, customer segments and assess any gaps against the core banking system
• Work in AML modules like Customer Segmentation, Threshold tuning, Alert generation and post validation
• Understand and improve the effectiveness and efficiency of the processes
• Map data from core system and importing data into transaction monitoring system for assessment
• Perform “Top Down” and “Bottom Up” segmentation analysis for the business lines using the agreed methodology
• Develop rules based on business scenarios / thresholds tuning values for generating alerts
• Work as a lead developer to contribute in various technical streams of data and analytics implementation projects
• Understand, analyse, and interpret large datasets
• Develop advanced programs to extract the data needed, prepare data for further analysis
• Discover, design, and develop analytical methods to support novel approaches of data and information processing
• Perform analysis to assess the quality of the data, determine the meaning of the data, and provide data facts and insights
• Collaborate with technology team and support the development of analytical models with the effective use of data and analytic techniques and validate the model results and articulate the insights to the business team
• Interface and communicate with the onsite teams directly to understand the requirement and determine the optimum solutions
• Create technical solutions as per business needs by translating their requirements and finding innovative solution options
• Provide product and design level functional and technical expertise along with best practices
• Lead and mentor a team throughout design, development and delivery phases and keep the team intact on high pressure situations.
• Contribute to business development activities like creating proof of concepts (POCs), point of views (POVs), assist in proposal writing and service offering development, and capable of developing creative power point content for presentations
• Participate in organization-level initiatives and operational activities
• Ensure continual knowledge management and contribute to internal learning and development teams
  
  

Qualifications:

• BE/BTech/MTech/MCA with 3 - 7 years of work experience
  
  

Technical skills requirement:

Must have:

• Extensive knowledge in Compliance, AML, KYC, Sanction and List Screening, Transaction Monitoring, Regulatory Reporting as well as bank compliance practices and processes
• Hands on expertise with Transaction Monitoring Systems tuning and model validations
• Hands on expertise with Sanctions Screening tuning and implementation
• Hands on expertise with Customer Lifecyle Management systems
• Strong proficiency in Data Analytics tools (Preferred Python, R, SAS)
• Strong hands on experience with SQL (advanced queries, Stored Procedures, Views, Triggers, Cursors)
• Experience with developing data dictionary, requirement gathering, identifing key data elements, performing data lineage from source systems to different layers of consolidated data warehouse
• Develop BRDs, logical & physical data model, along with data element mapping to defined data model
• Strong analytical skills and database management experience
  
  

Good to have:

• Experience on Banking and Capital Markets domains
• Experience in cloud environments
• Hands on experience in Big data (Hive, Spark, Oozie & Sqoop), ETL process and tools like Talend, Informatica
  
  

Other Key capabilities:

• Client facing skills and proven ability in effective planning, executing and problem-solving
• Excellent communication, inter-personal, and teamworking skills
• Multi-tasking attitude, flexible with ability to change priorities quickly
• Methodical approach, logical thinking, and ability to plan work and meet deadlines
• Accuracy and attention to details
• Written and verbal communication skills
• Willingness to travel to meet client needs
• Ability to quickly understand and learn new technology/feature and should inspire change to make an impact within the team and in a client organization
  
  

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