Citigroup
Regulatory Reporting Ld Analyst / Data Scientist - Vice President (Hybrid)
Citigroup, Tampa, Florida, United States, 33602
Regulatory Reporting Ld Analyst / Data Scientist - Vice President (Hybrid)
The Global Regulatory and Capital Reporting
Reporting Analytics Change Management and Innovation organization is looking for an Analyst/Data Scientist who is a dynamic individual to help shape the future of the Finance organization. The Controllers Reporting Analytics Change Management and Innovation team is charged with leading Finance's efforts to provide innovative ways of improving efficiency, productivity and enhancing quality to our customers, shareholders and regulators. Processes are comprised of those sets of activities that begin with defining and establishing appropriate data analysis, generative AI and machine learning innovation, implementing a comprehensive set of integrated financial tools and processes, which then culminates with instituting common and optimized financial/regulatory reporting processes. Global Regulatory and Capital Reporting
Reporting Analytics processes are the starting point for many Finance activities and serve as a feeder to other global processes and areas of consumption. The role holder will be a change leader and actively engage Regulatory Reporting teams leads to help transform Finance's global process by using innovative and novel data analytics, conjoined with AI tools. The role holder will enable business process changes by understanding current state processes, helping to define the target state, partnering with Technology on the delivery of required infrastructure and systematic capability, and with client-facing and shared services teams in the transformation to the target state. A strong data analytics background (with understanding of AI models), passion for driving change, navigating and overcoming obstacles, and working effectively independently and in team settings are critical to the role holder's success and growth. The position requires a solid analytical professional who closely follows latest trends in own field and adapts them for application within own job and the business. Excellent communication skills required in order to negotiate internally, sometimes at a senior level. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Responsibilities:
Core Responsibility is to analyze potential solutions in tandem with Technology and Data Scientist partners, help them to determine financial and strategic impact, and contribute with advice towards the prioritization and development of detailed implementation plans Secondary Responsibility is to identify areas of focus to drive business optimization through insightful analysis (identification, sizing, execution & tracking) of Finance and Controllers' processes focusing on Regulatory Reporting Independently query data from multiple relational databases to validate requirements utilizing Excel, SQL and/or Python. Hunt for the right solutions by collaborating with team members, technology partners, and business partners to identify efficient and strategic solutions. Manage transformative initiatives that impact multiple LOBs and/or products. Define key outcomes for the project and ensure clear communication and agreement with relevant stakeholders Communicate closely with business and technology partners to granularly define requirements and create systemic and/or manual processes to define solutions to satisfy said requirements Lead the project end to end, driving solutions with evidence through the performance of data analysis activities and assessing the implementation of AI projects towards the strategic goals of the organization. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firms reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications:
6 - 10 years of experience executing and supporting projects in Data or Business Analytics, Banking Consultancy, major Data Driven technology implementations or similar complex initiatives Experience working with financial data and baseline understanding of financial instruments, especially those related to loans. An understanding of financial & regulatory reporting, and/or credit risk management. Experience in analytics utilizing relational databases with SQL tools Experience working closely with IT and development teams Advanced knowledge of MS Office, especially Excel, PowerPoint Foundational knowledge of Python a plus Education:
Bachelors degree, potentially Masters degree in Data Science, Engineering, Econometrics or Math
The Global Regulatory and Capital Reporting
Reporting Analytics Change Management and Innovation organization is looking for an Analyst/Data Scientist who is a dynamic individual to help shape the future of the Finance organization. The Controllers Reporting Analytics Change Management and Innovation team is charged with leading Finance's efforts to provide innovative ways of improving efficiency, productivity and enhancing quality to our customers, shareholders and regulators. Processes are comprised of those sets of activities that begin with defining and establishing appropriate data analysis, generative AI and machine learning innovation, implementing a comprehensive set of integrated financial tools and processes, which then culminates with instituting common and optimized financial/regulatory reporting processes. Global Regulatory and Capital Reporting
Reporting Analytics processes are the starting point for many Finance activities and serve as a feeder to other global processes and areas of consumption. The role holder will be a change leader and actively engage Regulatory Reporting teams leads to help transform Finance's global process by using innovative and novel data analytics, conjoined with AI tools. The role holder will enable business process changes by understanding current state processes, helping to define the target state, partnering with Technology on the delivery of required infrastructure and systematic capability, and with client-facing and shared services teams in the transformation to the target state. A strong data analytics background (with understanding of AI models), passion for driving change, navigating and overcoming obstacles, and working effectively independently and in team settings are critical to the role holder's success and growth. The position requires a solid analytical professional who closely follows latest trends in own field and adapts them for application within own job and the business. Excellent communication skills required in order to negotiate internally, sometimes at a senior level. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Responsibilities:
Core Responsibility is to analyze potential solutions in tandem with Technology and Data Scientist partners, help them to determine financial and strategic impact, and contribute with advice towards the prioritization and development of detailed implementation plans Secondary Responsibility is to identify areas of focus to drive business optimization through insightful analysis (identification, sizing, execution & tracking) of Finance and Controllers' processes focusing on Regulatory Reporting Independently query data from multiple relational databases to validate requirements utilizing Excel, SQL and/or Python. Hunt for the right solutions by collaborating with team members, technology partners, and business partners to identify efficient and strategic solutions. Manage transformative initiatives that impact multiple LOBs and/or products. Define key outcomes for the project and ensure clear communication and agreement with relevant stakeholders Communicate closely with business and technology partners to granularly define requirements and create systemic and/or manual processes to define solutions to satisfy said requirements Lead the project end to end, driving solutions with evidence through the performance of data analysis activities and assessing the implementation of AI projects towards the strategic goals of the organization. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firms reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications:
6 - 10 years of experience executing and supporting projects in Data or Business Analytics, Banking Consultancy, major Data Driven technology implementations or similar complex initiatives Experience working with financial data and baseline understanding of financial instruments, especially those related to loans. An understanding of financial & regulatory reporting, and/or credit risk management. Experience in analytics utilizing relational databases with SQL tools Experience working closely with IT and development teams Advanced knowledge of MS Office, especially Excel, PowerPoint Foundational knowledge of Python a plus Education:
Bachelors degree, potentially Masters degree in Data Science, Engineering, Econometrics or Math