Our growing company is searching for experienced candidates for the position of VP, analytics. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for VP, analytics
Understand client business processes, motivations and product interests
Ensure client Service Levels are met and exceeded through working with the wider Aladdin business teams, Automation Implementation & Reporting (AIR) Outsourced business partners, and BRS product teams to identify and meet client priorities and deadlines
Work with various Line of Business partners functional partners to understand data acquisition, data feeds, data sourcing elements and the data certification process
Responsible for coordination of Operational and Compliance Risk Committee meeting materials and dissemination to Committee members
Lead digital data analysis and evangelization with a fluency in data operations
Partner with members of Compliance Analytics and AML IT on new initiatives and strategies to manage risk through the use of data analytics
Lead model/tool validations according to the Firm’s and the regulators’ model risk management standards
Develop an optimization framework that incorporates key risk metrics from Rating Agencies, Statutory, IFRS, Economic, Tax & DAC Frameworks and modeling methods which include Derivative, Reinsurance, Optimal Capital Structure concepts
Develop strong internal relationships within the GVA dept and stakeholder functions including Group Risk
Stand up a team dedicated to key verticals
Qualifications for VP, analytics
Ad serving platforms such as DoubleClick/DART, Atlas, Eyeblaster
Kdb (hands on proven experience)
7 plus year of experience in advanced analytical skills, problem solving, good critical thinking and decision-making skills
Effective team player with high level of motivation and inquisitiveness
Bachelor’s degree in Marketing, Statistics, Mathematics, Economics or equivalent required
10+ years’ progressive experience solving business issues with the consultative application of database modeling and testing techniques marketing mix modeling and interactive analytics.

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