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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving.
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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.
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This Senior Manager will play a critical role in confirming compliance with ethical standards and regulatory requirements through the use of advanced data analytics techniques. Preparing and presenting comprehensive reports and recommendations to senior management and stakeholders using data storytelling techniques.
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As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. 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.
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Demonstrating thorough knowledge about ETL tools and techniques, such as tools like Alteryx, Power Query, Azure Data Factory, and Power Apps suite of tools; 6 year(s) of experience in data analytics with a focus on Ethics & Compliance is preferred.
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Demonstrating a thorough level of knowledge in data analytics tools and programming languages, such as Python, R, and SQL; 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.
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Data Processing/Analytics/Science, Computer and Information Science, Statistics. The successful candidate will be responsible for leveraging their data science background to drive compliance monitoring data analytics initiatives.
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Utilizing data science techniques to analyze large data sets and identify patterns, trends, and anomalies that may indicate potential compliance violations; Developing and maintaining data analytics models and tools to support ongoing monitoring and reporting of compliance metrics.
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Providing guidance and training to team members on data analytics techniques and tools; Staying up-to-date with Industry-leading practices in data analytics and compliance monitoring to continuously enhance the program.
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Leading the development and implementation of data analytics strategies to identify potential compliance risks and issues; Proving specialization in analytical and problem-solving skills, with the ability to think critically and make data-driven decisions.
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Specialty/Competency: IFS - Risk & Quality (R&Q) Initiate open and candid coaching conversations at all levels. Visualizing and communicating analytical results, using technologies such as PowerBI, and Tableau.
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You'll focus on promoting and monitoring compliance with applicable external laws and regulations as well as internal policies and procedures to help manage PwC's regulatory, litigation, and reputational risk.
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As part of the team, you’ll help promote and monitor compliance with applicable external and internal policies, laws and regulations and subsequently, manage PwC’s regulatory, litigation and reputational risk.
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To help us achieve this we have the PwC Professional; our global leadership development framework. A career in Risk Management, within Internal Firm Services, will provide you with the opportunity to advance and foster integrity based decision making and conduct by PwC professionals throughout our organisation.
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Move easily between big picture thinking and managing relevant detail. For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.
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