Piyush Shukla is a seasoned financial services leader with over 17 years of experience specializing in risk management, data analytics, compliance, operational risk, and control assessment. His career reflects a strategic approach, commitment to achieving results, and proven ability to enhance operational efficiency and risk frameworks. With expertise in leveraging technology and data for decision-making, Piyush has consistently demon[1]strated his capacity to lead high-performing teams and drive business success. At Charles Schwab Corporation, where he has served as a Leader in Enter[1]prise Operations Risk Management (EORM) since September 2020, he played a crucial role in integrating Charles Schwab and TD Ameritrade. He oversaw the consolidation of risk management and compliance processes, ensuring a seamless integration of risk frameworks, control processes, and compliance standards across both entities. His efforts included developing comprehensive risk metrics and analyses for second-line-of-defense (2LOD) reports, catering to senior management, risk management commit[1]tees, executive council, the Board of Directors, and regulatory bodies. His role involved creating executive-level reports and presentations that provided a holistic view of the company’s risk profile, facilitating informed decision-making regarding risk mitigation and strategic planning. He also spearheaded the development of a centralized MyGRC platform, significantly enhancing the company’s ability to manage governance, risk, and compliance efficiently for both first-line-of-defense (1LOD) and 2LOD. This initiative led to operational savings exceeding $32 million. Additionally, he implemented process improvements in report production, leveraging his technical expertise to upgrade reporting platforms, address data quality issues, and transition reports from a quarterly to a monthly schedule. Before joining Charles Schwab, he worked as a Senior Manager at Deloitte and Touche LLP from October 2010 to August 2020. In this role, he collaborated with executive teams to identify key performance indicators (KPIs) and critical risk metrics, developing detailed reports and dashboards that provided actionable insights and resulted in $11 million in savings. He also streamlined the report creation process, reducing manual effort and increasing efficiency through automated data collection and reporting solutions using Alteryx and Python, which led to a 35% reduction in report preparation time. He directed efforts to harmonize control evaluation procedures and reporting mechanisms, improving operational efficiency by 15% and integrating diverse compliance systems. Earlier in his career, he was a Business Analyst at MMC Systems from July 2009 to October 2010, where he gathered business require[1]ments and developed data models for the Home Affordable Modification Program (HAMP) process, managing 250,000 HAMP-eligible loans. He also worked as a He holds a Doctor of Philosophy in Management from Maryland State University, with a focus on leveraging artificial intelligence for enhanced data and risk management in financial services. He also earned a Master of Engineering in Systems Engineering from Stevens Institute of Technology and a Bachelor of Engineering in Mechanical Engineering from VTU, Karnataka, India. His certifications include Project Management Professional (PMP) and specialized training in tackling big data challenges from MIT, as well as operations and customer analytics. His technical skills encompass proficiency in R, SAS, Python, SQL, MS Access, SSIS, SSRS, Hadoop, Spark, NoSQL, AWS, and GCP, along with reporting and analytics tools such as Power BI, Tableau, PowerPoint, Excel, Alteryx, QlikView, Splunk, and SharePoint. For his Ph.D., his thesis focused on leveraging artificial intelligence for enhanced data and risk management in financial services, while his Master’s thesis explored architecture assessment methodologies in systems engineering.

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