Consultant - Financial Services

Responsibilities:

• AI-Enabled Consulting Delivery: 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 while including defining agent responsibilities, decision boundaries, escalation paths, and human-in-the-loop controls to ensure safe, reliable, and compliant operation within financial services environments.
• Client Engagement & Delivery: 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.
• Strategic Problem Solving: 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 that incorporate both traditional and AI-enabled strategic solutions (e.g., operating model transformation, system implementations, process optimization)
• Technical Business Analysis: 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 with the support of internal and client-approved AI solutions.
• Solution Design & Implementation Support: 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 including.targeted use cases of AI- or agent-enabled solutions.
• Workstream Ownership & Execution: 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.
• Client-Ready Communication & Deliverables: 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.
• Internal Firm Support: Support proposals and business development initiatives, including client presentations and thought leadership, contributing perspectives on digital, data, and AI trends within financial services.
• These qualifications are intended to reflect what may help someone succeed as a Consultant at Sia. We recognize that candidates may not meet every qualification listed, and we encourage you to apply if you are excited about the role, eager to learn, and believe you can contribute to our teams and clients.
• Compensation & Benefits
• Sia invests in total rewards that support how our people work, live, and grow.
• Compensation
• Base Salary: $80,000–$99,000. Actual compensation within this range will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by applicable law.
• Annual Performance Bonus

Benefits

• Medical, dental, and vision; company-paid life and AD&D voluntary supplemental insurance and 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
• Benefits are subject to applicable plan terms and eligibility requirements.
• Workplace Sia values in-person collaboration. When serving clients, consultants may be required to work onsite at a client location based on engagement needs. Between client engagements, consultants are expected to work from a Sia office or approved coworking location at least three days per week. 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.
• Work Authorization
• Applicants must be legally authorized to work in the United States at the time of application and throughout their employment. This position is not eligible for employment visa sponsorship now or in the future.
• Our Commitment
• At Sia, we believe in fostering a diverse, equitable, and inclusive culture where our employees and partners are valued and thrive in a sense of belonging.
• Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

About Sia

Qualifications

• Education: Bachelor’s degree in Engineering, AI Engineering & Computing, Computer Science, Data Science, Financial Engineering, or a related field. Master's degree preferred.
• Relevant Experience: Recent graduate or early-career candidate with up to 2 years of post-graduate experience, including internships, academic projects, or work experience demonstrating business problem-solving, analytical thinking, professional communication, AI-enabled ways of working, and a proactive, forward-deployed BA mindset; experience in financial services or management consulting is preferred.
• AI-Enabled Technical Proficiency: Foundational ability to leverage AI/GenAI 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 through responsible AI governance concepts.
• Traditional Technical Proficiency: Ability to use Microsoft Excel, Microsoft PowerPoint, Microsoft Visio, JIRA / Confluence, Microsoft PowerBI /, Tableau, SQL 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.