Top Data & Analytics Jobs
The External Reporting Analyst role involves overseeing financial statements and management reporting, ensuring compliance with regulatory requirements, and coordinating the preparation of quarterly reports. The analyst will validate balance sheet items, communicate financial information, and manage relationships with various business lines and regulatory agencies while adhering to control procedures and participating in data quality improvement efforts.
The Analyst in Global Fund Services will provide independent valuation services for a range of OTC derivatives, analyze valuations across different sources, build client relationships, and resolve valuation-related queries while working in a dynamic team environment.
The Quality Assurance Analyst is responsible for executing QA testing, reviewing quality processes, providing feedback to management, conducting training, and performing analysis to improve testing processes. The role involves oversight of QA Specialists and engaging with management to deliver corrective actions and training.
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As a Quantitative Analytics Associate, you will identify and resolve customer impacts due to operational disruptions, utilizing SAS and SQL for data queries and analysis, while collaborating across teams to deliver best-in-class analytics.
The Associate Data Science role involves collaborating with stakeholders to develop NLP and ML solutions for enhancing investment processes. Key responsibilities include applying machine learning techniques, collecting datasets, performing experiments, monitoring models, and presenting results to stakeholders.
As a Fraud Risk Strategy Analytics Associate, you will analyze emerging fraud trends, develop fraud prevention products, and collaborate with cross-functional teams to enhance fraud risk management. The role involves monitoring fraud portfolio trends, balancing fraud losses with operational costs, and delivering effective fraud-fighting strategies.
As a Data Management Lead, VP, you will oversee and enhance the data governance and risk management program involving metadata, data quality, and data privacy. Responsibilities include leading workstreams, modernizing platforms, ensuring compliance with policies, and managing a team to deliver business results while reporting to executive stakeholders.
As a Data Operations Associate, you will manage day-to-day operations for the Foreign Exchange business, handling client onboarding for FX Trading, analyzing Standard Settlement Instructions, liaising with various business groups, and driving process improvements while ensuring quality compliance.
As a Machine Learning Engineer at Chase's Digital Intelligence team, you will utilize machine learning and large-scale computation to enhance customer products. Responsibilities include analyzing complex datasets, developing models, supervising data analysis, and communicating with stakeholders. The ideal candidate holds a Master's degree in Computer Science or related field with 3 years of experience, expertise in machine learning and related areas, and proficiency in core CS concepts.
Design and develop machine learning systems, preprocess and engineer features, research and implement machine learning algorithms, support tools for machine learning experiments, transform data science prototypes into machine learning models, develop applications based on business requirements.
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