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Company

Original Job Post

PwC · 2 days ago

Senior Manager - E&C Compliance Monitoring Data Scientist

Fayetteville, AR

Full-time

Onsite

Senior Level

6+ years exp

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Responsibilities

Encourage everyone to have a voice and invite opinion from all, including quieter members of the team.

Deal effectively with ambiguous and unstructured problems and situations.

Initiate open and candid coaching conversations at all levels.

Move easily between big picture thinking and managing relevant detail.

Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realizes they are required.

Contribute technical knowledge in area of specialism.

Contribute to an environment where people and technology thrive together to accomplish more than they could apart.

Navigate the complexities of cross-border and/or diverse teams and engagements.

Initiate and lead open conversations with teams, clients, and stakeholders to build trust.

Uphold the firm's code of ethics and business conduct.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ProcessingAnalyticsComputer ScienceStatisticsLeadershipManagerialEthicsComplianceData AnalyticsCompliance MonitoringData ScienceStatistical AnalysisData MiningPredictive ModelingMachine LearningData VisualizationETL ToolsAlteryxPower QueryAzure Data FactoryPower AppsPythonRSQLPowerBITableauProject ManagementProblem-SolvingCommunicationInterpersonal

Required

Minimum Degree Required Bachelor Degree

Required Fields Of Study Data Processing/Analytics/Science, Computer and Information Science, Statistics

Minimum Years Of Experience 6 year(s) of experience in data analytics with a focus on Ethics & Compliance is preferred. Previous experience in a leadership or managerial role is highly desirable.

Preferred

Degree Preferred : Master Degree

Preferred Knowledge/Skills Demonstrates intimate abilities and/or a proven record of success as a team leader:

Leading the development and implementation of data analytics strategies to identify potential compliance risks and issues;

Utilizing data science techniques to analyze large data sets and identify patterns, trends, and anomalies that may indicate potential compliance violations;

Preparing and presenting comprehensive reports and recommendations to senior management and stakeholders using data storytelling techniques;

Collaborating with cross-functional teams, including Finance, the Office of the Chief Data Officer, the Office of the General Counsel, Business Services Technology, Network Information Security, Internal Audit, and other firm functions to gather relevant data and establish data integrity for analysis;

Developing and maintaining data analytics models and tools to support ongoing monitoring and reporting of compliance metrics;

Conducting regular assessments to evaluate the effectiveness of compliance controls and identify areas for enhancement;

Staying up-to-date with Industry-leading practices in data analytics and compliance monitoring to continuously enhance the program;

Providing guidance and training to team members on data analytics techniques and tools;

Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning;

Proving ability to collect data from various sources, determine appropriate storage methods, perform various analyses, distill and communicate key insights/complex findings to non-technical stakeholders through data visualization techniques;

Demonstrating intimate knowledge about designing and implementing data-driven analyses to monitor for compliance with regulations and standards, such as anti-corruption laws, data privacy regulations, and industry-specific regulations;

Proving specialization background in designing compliance monitoring metrics and KPIs;

Demonstrating thorough knowledge about ETL tools and techniques, such as tools like Alteryx, Power Query, Azure Data Factory, and Power Apps suite of tools;

Demonstrating a thorough level of knowledge in data analytics tools and programming languages, such as Python, R, and SQL;

Visualizing and communicating analytical results, using technologies such as PowerBI, and Tableau;

Proving specialization in analytical and problem-solving skills, with the ability to think critically and make data-driven decisions;

Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving;

Proving ability of project management skills, with the ability to prioritize and manage multiple initiatives simultaneously;

Proving specialization in communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and influence stakeholders at all levels;

Demonstrating high ethical standards and a commitment to promoting a culture of compliance and integrity.