Business Analyst - Wealth Technology

Dynasty Financial Partners•St Petersburg, FL

About The Position

We’re looking for a Business Analyst to help drive the development of new Wealth Technology products and enhance existing Products. You will act as a bridge between business needs and technology solutions, working closely with stakeholders, product managers, and engineering teams to deliver high-impact projects. A Business Analyst provides strategic management consulting to companies and businesses, advises on ways to improve operations, increase efficiency, optimize processes, reduce costs and increase revenues; may recommend systems or organizational change.

Requirements

Bachelor’s degree in Business, Finance, Information Systems, or related field.
3 years of experience as a Business Analyst, ideally within the fintech or financial services sector.
Strong understanding of financial products, services, and industry regulations.
Demonstrated experience in process mapping, process improvement, and operational optimization.
Experience with Agile/Scrum methodologies.
Proficient in business analysis tools (e.g., JIRA, Confluence, Excel, SQL).
Strong analytical, problem-solving, and communication skills.
Ability to work independently and manage multiple priorities in a fast-paced environment.

Nice To Haves

Experience working with APIs, digital wallets, payment platforms, or blockchain solutions.
Familiarity with data visualization tools like Tableau or Power BI.
Certification in Business Analysis (e.g., CBAP, CCBA) is a plus.

Responsibilities

Gather, analyze, and document business requirements for financial products and systems.
Collaborate with cross-functional teams to design and improve product features and workflows.
Translate business needs into detailed functional specifications and user stories.
Conduct market and competitor analysis to support strategic initiatives.
Map current-state and future-state processes, identify inefficiencies, and recommend actionable improvementsto business processes and systems.
Support QA and UAT processes by reviewing test cases and validating outcomes.
Leverage data analysis to identify trends, measure process performance, and uncover opportunities for automation or enhancement.
Generate insightful reports and dashboards to monitor performance and support decision-making.