Securities Services Data Analytics - Senior Associate

JPMorgan Chase & Co. • New York, NY

6h

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

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

Benefits

• We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location.
• Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
• We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level