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.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.Key Responsibilities: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 transactionsProcess KYC data, risk rating models, customer segments and assess any gaps against the core banking systemWork in AML modules like Customer Segmentation, Threshold tuning, Alert generation and post validationUnderstand and improve the effectiveness and efficiency of the processesMap data from core system and importing data into transaction monitoring system for assessmentPerform "Top Down" and "Bottom Up" segmentation analysis for the business lines using the agreed methodologyDevelop rules based on business scenarios / thresholds tuning values for generating alertsWork as a lead developer to contribute in various technical streams of data and analytics implementation projectsUnderstand, analyse, and interpret large datasetsDevelop advanced programs to extract the data needed, prepare data for further analysisDiscover, design, and develop analytical methods to support novel approaches of data and information processingPerform analysis to assess the quality of the data, determine the meaning of the data, and provide data facts and insightsCollaborate 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 teamInterface and communicate with the onsite teams directly to understand the requirement and determine the optimum solutionsCreate technical solutions as per business needs by translating their requirements and finding innovative solution optionsProvide product and design level functional and technical expertise along with best practicesLead 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 presentationsParticipate in organization-level initiatives and operational activitiesEnsure continual knowledge management and contribute to internal learning and development teamsQualifications:BE/BTech/MTech/MCA with 8 - 11 years of work experienceTechnical 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 processesHands on expertise with Transaction Monitoring Systems tuning and model validationsHands on expertise with Sanctions Screening tuning and implementationHands on expertise with Customer Lifecyle Management systemsStrong 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, identifying key data elements, performing data lineage from source systems to different layers of consolidated data warehouseDevelop BRDs, logical & physical data model, along with data element mapping to defined data modelStrong analytical skills and database management experienceGood to have:Experience on Banking and Capital Markets domainsExperience in cloud environmentsHands on experience in Big data (Hive, Spark, Oozie & Sqoop), ETL process and tools like Talend, InformaticaOther Key capabilities:Client facing skills and proven ability in effective planning, executing and problem-solvingExcellent communication, inter-personal, and teamworking skillsMulti-tasking attitude, flexible with ability to change priorities quicklyMethodical approach, logical thinking, and ability to plan work and meet deadlinesAccuracy and attention to detailsWritten and verbal communication skillsWillingness to travel to meet client needsAbility 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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