高级并购业务分析师

Job Description

Our mission is to turn data into market-beating trading strategies by using sophisticated mathematical models and cutting-edge technology. The core team consists of top-class developers, quant analysts and traders who are using their accumulated know-how to create a state-of-the-art platform. It is an ambitious and exciting start-up project - no legacy code, no mundane maintenance and outdated technologies, only a pure joy of creating a well-designed piece of software.

We are an independent company. And you will have a real say in what will be developed and in what way.

We hire only the brightest and the most curious minds. We are looking for university graduates with strong programming skills, a drive and an interest in solving complex problems.

What you would work on

• Analyse markets, competitors, regulation and technology across the energy and battery-storage sectors.
• Source and evaluate M&A opportunities, including BESS deals, and support due diligence through to deal close.
• Build and review financial models, investment cases, valuation scenarios and cost analyses.
• Structure analytical approaches and produce clear, decision-ready materials for senior stakeholders.
• Own analytical workstreams end-to-end, manage concurrent projects and escalate issues with proposed solutions.
• Coordinate input from internal teams and work with external stakeholders, including banks, co-investors and partners where needed.
• Support portfolio optimisation, growth initiatives and post-acquisition integration where relevant.
• Guide junior analysts, review their work and help maintain quality standards across team deliverables.

What makes you a great candidate

• Degree in business, finance or a STEM field.
• Experience in M&A, investment analysis, corporate finance, consulting, financial modelling or business analysis.
• Strong financial-modelling skills, including DCF, IRR, NPV, scenario analysis and investment cases.
• Advanced analytical capability and ability to structure complex problems independently.
• Solid data-handling, analysis and visualisation skills; Python or automation experience is a plus.
• Fluency in German and English is required.
• Curious, quick to learn and comfortable applying critical and creative thinking to business problems.

What we offer

• Competitive remuneration package with attractive variable component.
• Working with absolute experts in algorithmic trading.
• Flexible working hours and home office options.
• High-end work equipment (devices optionally from Apple, Samsung, Lenovo).
• Short decision-making paths and rapid development opportunities.
• Individual training opportunities.