Senior Consultant - Financial Services

About the role

Sia is a next-generation, global management consulting group founded in 1999. We specialize in strategy and management consulting, leveraging data science, creativity, and responsibility to help clients navigate and benefit from transformation.

Responsibilities

• Apply traditional consulting tools and emerging AI-enabled, no-code, low-code, automation, and analytics platforms to accelerate research, analysis, documentation, prototyping, process mapping, stakeholder alignment, and delivery execution.
• Work directly with client business, operations, product, data, and technology teams to understand strategic objectives, operational challenges, technical constraints, stakeholder priorities, and desired business outcomes.
• Assess current-state processes, systems, data flows, risks, dependencies, and pain points to identify root causes, evaluate business impacts, and help define the design and implementation of strategic initiatives (e.g., operating model transformation, system implementations, process optimization).
• Translate business needs into clear functional requirements, user stories, process flows, data requirements, business rules, acceptance criteria, and solution documentation that bridge business stakeholders and technical delivery teams.
• Partner with product owners, engineers, architects, data teams, and client stakeholders to support solution design, system implementation, workflow optimization, integration planning, UAT, validation, and implementation readiness across front, middle, and back-office platforms.
• Own assigned tasks and deliverables by managing timelines, tracking risks, issues, decisions, and dependencies, proactively communicating progress, and helping drive initiatives from analysis through execution.
• Prepare structured, accurate, and polished materials, including presentations, executive summaries, business cases, impact assessments, process documentation, status reports, meeting outputs, and stakeholder communications for internal teams, client stakeholders, and senior leaders.

Qualifications

• Master's degree in Engineering, AI Engineering, Computer Science, Data Science, Financial Engineering, Computing, or a related field.
• Relevant Experience: Candidate with up to 7 years of post-graduate experience preferred.
• AI-Enabled Technical Proficiency: Foundational ability to leverage AI tools, prompt engineering, and modern productivity platforms to accelerate business analysis, requirements gathering, process documentation, research, testing support, and stakeholder-ready deliverables, while applying sound judgment to validate and improve AI-generated outputs.
• Traditional Technical Proficiency: Ability to use Microsoft Excel, Microsoft PowerPoint, Microsoft Visio, Microsoft PowerBI, Tableau and other related tools to support advanced data analysis, develop insights and analytics, and create clear, effective presentations and communications.
• Consulting Skillset: Strong communication skills, analytical thinking, attention to detail, ownership, teamwork, and intellectual curiosity, with the ability to work closely with business and technology stakeholders, synthesize ambiguity, ask thoughtful questions, identify gaps, and help drive work forward in a fast-paced, client-facing environment.
• Financial Services Interest and Knowledge: Foundational understanding of, or demonstrated interest in, the financial services industry, including areas such as products, operations, regulatory requirements, technology, and business processes.

Benefits

• Medical, dental, and vision coverage.
• Company-paid life and AD&D insurance.
• Voluntary supplemental insurance and Employee Assistance Program (EAP).
• 401(k) with company match and immediate vesting.
• HSA and FSA options.
• College savings and student loan repayment programs.
• Paid parental leave; generous PTO, nine company holidays, and one floating holiday.
• Cell phone stipend; well-being and professional development programs.

Additional Information

Candidates should reside within a reasonable commuting distance of a Sia office or approved coworking location. Sia maintains offices and coworking arrangements across multiple U.S. markets, including New York City, Charlotte, Greater Seattle, San Francisco Greater Bay Area, Los Angeles, Houston, Atlanta, Baltimore, Chicago, Washington D.C.