Top Data & Analytics Jobs

As a Trading Services Analyst, you'll provide end-to-end trade flow support globally, monitor ongoing support needs, drive continuous improvement efforts, and ensure timely resolution of inquiries. You'll collaborate with various teams to determine priorities and requirements for enhancements. Bachelor's degree and 2-3 years of financial industry experience required.

Exciting opportunity for a motivated individual to work in the Investment Banking team, focusing on Consumer & Retail M&A transactions. Responsibilities include driving deals, financial analyses, transaction management, and supporting negotiations. Required qualifications include investment banking experience, strong interest in M&A, and passion for Consumer & Retail industries.

Support the structuring team in launching new funds, maintaining fund documentation, providing reporting support, and staying updated on industry trends and regulations.

The Compensation Analyst will provide administrative support for annual compensation processes, guiding HR management on compensation actions, analyzing market data, and participating in compensation surveys. Responsibilities also include partnering with Recruiting, delivering accurate reports, and contributing to EMEA Compensation Agenda to align compensation programs with business strategy.

As a Quantitative Data & Analytics Senior Associate, you will conduct analytical exercises to support marketing strategies and investment decision-making. You will develop insights, manage relationships with cobrand partners, and present your findings to senior leadership while ensuring enhanced customer experiences through advanced analytics projects.

As an External Reporting Analyst, you will define and deliver goals in External Reporting while managing U.S. Regulatory Reporting processes, ensuring data accuracy, performing variance analysis, and coordinating with various business lines and regulatory teams.

As a Risk Modeling - Machine Learning Associate, you will develop and implement machine learning and statistical models while collaborating with cross-functional teams. Your responsibilities include model evaluation, data manipulation, and management of the modeling lifecycle to enhance risk management in banking.