Join our dynamic team where you’ll help transform Finance through technology and data. We empower you to deliver practical, high-impact solutions that streamline reporting, support decision-making, and drive efficiency. You’ll collaborate with talented colleagues across Finance, Product, Operations, and Technology, making a real difference for our business and clients.

As a Securities Services Data Solutions Senior Associate in our Data Analytics team, you will play a pivotal role in building and managing large-scale data solutions. You’ll centralize key datasets, enable business teams to access and analyze information, and drive efficiency through automation and advanced analytics. Our team is hands-on, focused on connecting data to real business outcomes and leading the transformation of Finance through technology.

Job Responsibilities Integrate and model complex, disparate datasets to unlock new business insights and enable advanced analytics Perform hands-on analysis using modern tools such as SQL, Python, Tableau, and Alteryx Drive automation and solve challenging data problems to improve business processes Own end-to-end delivery of projects, including requirements gathering, writing business requirements documents, stakeholder management, and program oversight Lead the design and buildout of scalable data applications and solutions for Finance, from concept to delivery Collaborate closely with developers, product owners, and business partners across Product, Operations, Technology, and Finance Initiate and lead AI/ML projects to enhance data-driven decision-making and process efficiency Establish best practices and help define success as the data analytics function evolves Present findings and recommendations to stakeholders in a clear, compelling manner Support decision-making and reporting through advanced analytics and automation Foster a culture of continuous improvement and innovation within the team Required Qualifications, Capabilities, and Skills Proven ability to work independently, take initiative, and deliver results with minimal direction Minimum 4 years of experience in data analytics, product development, or project management (within financial services or a related field) Hands-on experience with at least one modern data analytics, visualization, or engineering tool (e.g., SQL, Python, Power BI, Tableau, R) Experience working with large, complex datasets and building data models Logical, structured approach to planning, problem solving, and decision-making Demonstrated ability to manage projects, write requirements, and deliver outcomes in a fast-paced environment Strong communication skills, with the ability to work effectively across teams and present findings to stakeholders Bachelor’s degree required Preferred Qualifications, Capabilities, and Skills Experience in Securities Services or core Finance (Finance & Business Management, Planning & Analysis) Experience with automation, process improvement, or AI/ML projects Advanced degree or relevant certifications in finance or data analytics Experience with cross-functional collaboration in a large organization Familiarity with data lake architecture and centralizing key datasets Experience leading the transformation of Finance through technology Ability to set the tone for team culture and establish best practices