AI Solutions Analyst - Panorama
Employer · McKinsey & Company
Budapest
You will join McKinsey Panorama, an asset-based consulting team that has been advising financial institutions worldwide on strategy and innovation for over two decades. Panorama leverages advanced technology, unique data, and deep expertise to support more than 300 clients annually across diverse regions, offering you the opportunity to create a truly global footprint.
Tasks
- Contribute to the successful delivery of client engagements focused on banking strategy and innovation
- Craft long-term strategies, identify new growth opportunities within and beyond clients' core businesses, build digital enterprises, and transform operating models
- Analyze innovative solutions and companies, and develop comprehensive financial models to translate complex information into actionable, strategic recommendations
- Play an integral part in the ongoing development and maintenance of Panorama's proprietary products, including scalable, microservices-based quantitative databases, advanced analytics, and AI-driven services
- Collaborate with other teams across the firm to disseminate specialized knowledge and drive broader firm-wide impact
Conditions & benefits
Continuous learningOur learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development.A voice that mattersFrom day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions.Global communityWith colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients.World-class benefitsOn top of a competitive salary, we provide a comprehensive benefits package to enable holistic well-being for you and your family.
Requirements
- Bachelor's or higher degree in economics/finance, engineering, technology or social sciences; master's degree preferred
- First experience in technology companies, startups, investment firms, financial institutions or consulting is a plus
- Strong entrepreneurial mindset and excitement to work in an ambiguous and results-oriented environment
- Agentic AI workflow building: hands-on fluency with LLMs, prompt workflows, agent frameworks, RAG / knowledge layers, MCPs or tool use, and human-in-the-loop review patterns
- Analytics automation: practical experience with Python, Excel, APIs, and CSV / XLSX workflows to inspect data, automate recurring tasks, and validate outputs
- Data quality engineering: ability to design baseline checks, anomaly detection, output validation, reproducibility checks, and audit trails for research and client-ready outputs
- Basic understanding and interested in financial services, digital solutions, innovations and related macro trends
- Intellectual curiosity along with strong analytical capability and problem-solving skills
- Excellent written and verbal communication skills in English