Job responsibilities

• Design and develop data models that integrate complex datasets and enable analytics at scale.
• Analyze data using tools such as SQL, Python, Tableau, Alteryx, or similar platforms to uncover insights and improve outcomes.
• Automate recurring reporting and manual processes to improve efficiency and reduce operational risk.
• Lead end-to-end project delivery, including requirements gathering, documentation, and stakeholder updates.
• Write clear business requirements documents and translate business needs into actionable delivery plans.
• Partner with product, operations, technology, and finance teams to align solutions to strategic goals.
• Build scalable data applications and data products from concept through implementation and adoption.
• Identify opportunities to apply artificial intelligence and machine learning to enhance decision-making and workflows.
• Establish and promote standards and best practices for analytics, documentation, and solution delivery.
• Present findings and recommendations to stakeholders in a clear, structured manner.
• Improve how teams access and use data by enabling self-service, trusted datasets, and transparent definitions.

Required qualifications, capabilities, and skills

• Bachelors degree.
• At least four years of experience in data analytics, product development, or project management (financial services preferred).
• Hands-on proficiency with at least one modern analytics, visualization, or engineering tool (for example: SQL, Python, Tableau, Power BI, R).
• Demonstrated experience working with large, complex datasets and building data models.
• Proven ability to deliver outcomes independently with strong ownership and follow-through.
• Strong problem-solving skills with a logical, structured approach to planning and decision-making.
• Demonstrated project execution skills, including writing requirements and managing delivery in a fast-paced environment.
• Strong communication skills, including presenting analysis and recommendations to cross-functional stakeholders.
• Experience partnering effectively across business and technology teams.
• Experience designing solutions that improve reporting, decision-making, or operational efficiency.

Preferred qualifications, capabilities, and skills

• Experience supporting finance functions such as financial planning and analysis or finance business management.
• Experience in securities services, transaction processing, or related financial products.
• Experience delivering automation or advanced analytics initiatives that reduce manual effort.
• Experience initiating or delivering artificial intelligence and machine learning use cases.
• Familiarity with building data assets in a data lake environment.
• Relevant certifications in analytics, data, or finance.

 

Build data products and analytics that automate reporting, unlock insights, and improve decision-making across Securities Services Finance.