Job Responsibilities:

• Establish relationships with client personnel at appropriate levels
• Consistently deliver quality client services
• Monitor progress, manage risk and ensure key stakeholders are kept informed about progress and expected outcomes
• Stay abreast of current business and industry trends relevant to the client's business
  Demonstrate in-depth technical capabilities and professional knowledge
• Demonstrate ability to assimilate new knowledge
• Remain current on new developments in advisory services capabilities and industry knowledge

Job Qualifications:

·       Bachelor's degree in computer science, engineering, accounting, finance or a related field and approximately 2 years of related work experience; or a graduate degree and approximately 1-2 years of related work experience

·       MBA or MS degree preferred

·       Minimum of 1+ years of relevant work experience at a financial services company or comparable experience working as an advisor to a financial services company

·       Strong written and verbal communication, presentation, client service and technical writing skills, coupled with a strong interest in further developing and integrating operations with technology skills

·       Ability and comfort level researching client inquiries and emerging issues, including regulations, industry practices, and new technologies

·       Willingness to travel to meet client needs; estimated at 80-90%

·       Valid driver's license in the US and a valid passport required; willingness and ability to travel internationally

Specifically, the candidate should demonstrate understanding and experience in at least one of the following:

·        Data Management

·        Participation in developing enterprise data strategies and roadmaps;

·        Participation in developing architectural and design patterns, considerations, solution options, and impact;

·        Experience in developing state, event, UML, and Entity-Relationship models for financial institutions (retail, private, investment banks, asset management companies, or Insurance providers). Specific experience in modeling data warehouse and operational data store. Must have gone through at least one full life cycle implementation;

·        Experience in designing and implementing SOA based data solutions;

·        Design and implementation ETL solutions using one of the leading ETL packages (e.g, Informatica, Ab Initio, DataStage);

·        Design and implementation of an operational data store and data warehouse on one of the leading platforms (e.g., Oracle, DB2, Teradata. Sybase, SQL Server, Netezza);

·        Architecture, Design, and Implementation of leading metadata vendor solutions (e.g. Rochade, Adaptive)

·       Data Quality and Governance

·        Identification and analysis of data issues impact financial services organizations;

·        An understanding of the data used and the associated inherent issues in Investment Banking, Retail Banking, or Asset Management;

·        Ability to conduct discovery, perform root cause analysis, and make recommendations for the remediation of data quality issues;

·        The ability to design and recommend governance structures and control frameworks for the ongoing management of data at financial services organizations;

·        Experience with large scale data remediation projects, from issue identification, through to remediation/resolution as it relates to specific regulatory, risk, or operational issues;

·        An experience with key data quality applications available in market

·       Business Intelligence

·        Development of reporting and analytics business capabilities, strategy and roadmap;

·        Facilitation and definition of reporting and analytics business requirements;

·        Definition of Business Intelligence technical architectures;

·        Design and implementation of at least one of leading Business Intelligence packages (e.g., Cognos, Business Objects, MicroStrategy, Spotfire, ClickView, SAS)

·       Business Analytics

·        Ability to analyze and review client business data to identify key indicators pertaining to operations, risk, finance, compliance, or process and controls;

·        Design and implement analytical business and technology solutions to meet identified key indicators;

·        Ability to perform data forensics to identify suspicious banking, brokerage or insurance transactions in such areas as anti-money laundering, trade surveillance, or fraud;

·        Experience using analytics/BI packages (e.g. Cognos, Business Objects, MicroStrategy, Spotfire, ClickView, SAS) to build client analysis solutions