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Your Key Responsibilities
You will be leading diverse teams of professionals across different geographies to deliver a wide range of data and analytics services focused on defining data and analytics strategies, performing assessments, recommending remediation strategies/solutions based on aggregated view of identified gaps, and designing/implementing future state data and analytics solutions, . You will be solving complex issues and responsible for driving growth across financial services.
Skills and attributes for success
Fostering an innovative and inclusive team-oriented work environment
Leading and coaching diverse teams of professionals with different backgrounds
Providing subject matter expertise in defining technical and business approaches
Building strong relationships with the clients and cultivating business opportunities
Initiating and building thought leadership through white papers, point of views, and proof of concepts
Working in an entrepreneurial environment to pave your own career path
Ability to meet deadlines and manage project delivery
Superior communication and interpersonal skills
Develop strategies to solve problems logically using creative methods
Propose and drive new technologies to enhance or replace existing business processes
Evaluate and test various alternative approaches and recommend the best path forward
Manage cross functional teams, to ensure project task and timeline accountability
Experience with data management, architecture, analysis and visualization
Ability to engage and influence large teams and functional leaders
To qualify for the role you must have
Undergraduate or Master’s degree in a quantitative field (e.g. engineering, computer science, business, economics, finance, statistics, and/or analytics)
Minimum of 5 years’ experience in banking, capital markets, insurance or asset management in a Data Scientist or Business Intelligence role with at least 3 years of experience managing a team
Superior communication (verbal and written) and presentation skills with the ability to effectively advocate technical solutions and results to technology and business audiences at all levels and disciplines within EY and client organizations
Experience presenting analytical conclusions to senior officials in a company and other stakeholders
Superior communication (verbal and written) with the ability to lead meetings, hold workshops with executives, effectively advocate technical solutions and results to technology and business audiences
Proven application of advanced analytical and statistical methods in the financial services space
Experience working independently, efficiently and effectively under extreme time constraints and delivering results by critical deadlines
Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models
Demonstrated senior-level leadership (thought leadership or people leadership e.g. managed project teams or direct reports) in engaging with C-level executives and technical clients
Practical experience in leading and managing teams through a product life cycle – requirements, design, development and testing
Practical experience using latest technologies for data ingestion, storage, mining/warehousing, big data analytics, manipulation, and visualization
Practical experience and familiarity with some of the following tools and technologies:
SAS, R, Python, SPSS, MapR, Flume, Hue, Impala, predictive analytics, Tableau, Spotfire, and Java
Meaningful experience in multiple database technologies such as:
Distributed Processing (Spark, Hadoop, EMR)
Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL)
MPP (AWS Redshift, Teradata),
NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)
Cloud Platforms (AWS, Azure, Google Platform, Databricks)
Experience with client-facing activities such as requirements gathering, facilitating meetings, presentation creation, and ability to prepare client ready deliverables
Ability to quantify improvement in business areas resulting from optimization techniques through use of business analytics and/or statistical modeling
Ability to integrate new knowledge and adapt to change with a natural curiosity and desire to learn
Project management and process development expertise in client serving roles
Strong analytical and problem-solving skills
Strong organizational and time-management skills
Ability to understand business challenges and translate them into analytics solutions
Excellent leadership and teaming skills
A willingness and ability to travel to meet client needs; travel is estimated at 80%-90%
Valid US passport
Ideally, you’ll also have
Prior consulting experience
Experience monitoring performance, reporting, and economics of ongoing progress for the major initiatives of the business unit you support.
Experience working independently, efficiently and effectively under extreme time constraints and delivering results by critical deadlines
Experience quantifying results to the business, from the front line to senior executives
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