Senior Consultant- Financial Due Diligence Analytics

What You'll Do:

• Execute financial and analytical workstreams across buy-side and sell-side FDD engagements,including carve-outs and divestitures, including quality of earnings analysis, net working capital assessments, EBITDA normalization, and cash flow evaluation.
• Analyze large and complex datasets—spanning transactional, operational, and financial records—to identify underlying business performance trends, margin dynamics, revenue quality, and potential deal risks and opportunities.
• Build financial models, data pipelines, and visualization tools (e.g., Power BI, Tableau, Alteryx, Excel,Snowflake, Databricks, SQL) that efficiently surface actionable insights for client deliverables and internal team review.
• Draft and contribute to sections of client-facing reports, executive summaries, presentations, and data books that clearly communicate analytical findings to deal stakeholders.
• Participate in management interviews of target company executives and collaborate with cross-functional workstreams including tax, legal, IT, and operational due diligence teams.
• Apply programming languages and analytics platforms (e.g., SQL, Python, R, Alteryx) to automate data processing and improve the efficiency and scalability of diligence workflows.
• Contribute to developing and implementing firm-approved, AI-enabled solutions for clients, in accordance with company policies on data protection, intellectual property, and professional standards.
• Stay informed about emerging AI tools and techniques and collaborate with firm leadership to identify compliant opportunities to enhance client solutions and internal processes.
• Manage project workstreams, coordinate data requests, and ensure deadlines are met across concurrent engagements.
• Provide coaching and guidance to junior team members, contributing to a collaborative and growth-oriented team culture.

What You'll Bring:

• 3–5 years of experience in financial due diligence, transaction analytics, public accounting, audit, or a related financial services or advisory role.
• Working knowledge of quality of earnings, net working capital, and EBITDA analysis in an M&A or transaction context.
• Proficiency with one or more analytics and data visualization tools, including: Power BI, Tableau, Alteryx, SQL, Python, R, or advanced Excel (SUMIFS, INDEX/MATCH, Power Query, etc.).
• Strong analytical and problem-solving skills, with the ability to work through ambiguous data environments under tight timelines.
• Experience collaborating within project teams and managing individual workstreams with minimal supervision.
• Comfort with AI: Demonstrated ability to responsibly explore and adopt firm-approved AI tools to enhance productivity and innovation.
• Continuous Learning Mindset: Openness to learning and applying emerging technologies including AI and automation in alignment with firm policies and client standards.
• Willingness to travel up to 30%; travel varies based on client preferences.

Qualifications:

• Bachelor's degree in Accounting, Finance, Data Science, Statistics, Economics, or a related field.
• CPA eligible or actively pursuing CPA preferred;CFA a plus; prior audit or public accounting experience a plus.