Data Engineer
AI Solutions Analyst - Banking Market Intelligence
Budapest
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Who You'll Work With
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you’ll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
When you join us, you will have:
- Continuous learning:Our 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. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
- A voice that matters:From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community:With 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. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World-class benefits:On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
Your Impact
You will partner with clients worldwide to help define and execute their strategy and innovation efforts.
You will join the Market Intelligence team within McKinsey Panorama. This globally focused team harnesses a blend of banking and financial data sources - including proprietary McKinsey data - to help financial institutions identify strategic opportunities, improve financial planning, and benchmark their performance.
Operating with a high degree of autonomy and responsibility, your work will be divided between developing proprietary assets and supporting client engagement teams with your asset-backed expertise. You will conduct research into financial services, macroeconomic shifts, and evolving customer trends. By analyzing large volumes of information efficiently, you will synthesize your findings into strategic insights and communicate them to both internal McKinsey colleagues and external clients.
A core component of your role will involve building and maintaining the tools that drive our advisory work. You will develop and refine a variety of proprietary databases, statistical frameworks, and market models designed to inform the decision-making processes of our clients and colleagues. By applying this asset-backed expertise directly in client settings, you will ensure our strategic recommendations are consistently grounded in rigorous, data-driven evidence.
Your responsibilities offer a strong platform to develop your capabilities in data analytics, critical thinking, synthesis, and product development within a dynamic business environment. As you collaborate with global colleagues and gain direct exposure to clients, you will receive structured training alongside regular coaching and mentorship from senior colleagues to support your professional growth.
Your Qualifications and Skills
- Bachelor's or higher degree in economics/finance, engineering, technology or social sciences; master's degree preferred
- First work experience in banking, finance, private equity, venture capital or other closely related area
- Strong analytical capability and ability to synthesize complex relationships
- 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 for 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
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