onsite
Senior Manager, Quantitative Consulting - AI - Forvis Mazars, LLP
Software Engineer
Lead client‑facing AI and quantitative consulting engagements, designing advanced analytics solutions using Python, machine learning, and statistical modeling to drive strategic insights for financial services and risk advisory clients.
About the role
Key Responsibilities
- Lead end‑to‑end AI and quantitative consulting projects for enterprise clients, from problem definition through solution delivery and post‑implementation support.
- Design and implement advanced analytics models using Python, machine learning algorithms, and statistical techniques to address risk, pricing, and operational challenges.
- Collaborate with cross‑functional teams—including data engineers, cloud architects, and business stakeholders—to integrate analytics solutions into client environments.
- Develop data pipelines, perform data wrangling, and conduct exploratory analysis using SQL and data‑visualization tools to uncover actionable insights.
- Mentor junior consultants, provide technical guidance, and contribute to practice development through thought leadership and knowledge sharing.
Requirements
- 5+ years of experience delivering AI/advanced analytics solutions in a consulting or professional services setting.
- Strong proficiency in Python and its data‑science ecosystem (pandas, scikit‑learn, TensorFlow/PyTorch).
- Deep understanding of statistical modeling, machine learning techniques, and their application to risk and financial domains.
- Hands‑on experience with SQL, data visualization (e.g., Tableau, Power BI), and cloud platforms such as AWS or Azure.
- Excellent client‑facing communication skills and proven ability to lead multidisciplinary project teams.
Skills
pythonmachine learningsql