Product Intelligence Analyst [100%], Zürich /Hybrid at Optiml

Zurich, Zurich, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

28 Jun, 26

Salary

0.0

Posted On

30 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Real Estate Investment Strategy, Energy System Decarbonization, Optimization Models, Enterprise Software Product Development, Data Analysis, Quantitative Analysis, Modelling, Market Signals Analysis, Strategic Analysis, Client Insights, Thought Leadership, Stakeholder Management, Communication, Python, Excel

Industry

Software Development

Description

About Optiml Optiml builds REDI — Real Estate Decision Intelligence software, an enterprise platform that models upgrade pathways and capital allocation decisions for real estate portfolios. Our clients include leading asset managers and insurers who use REDI to optimize capital allocation, sustainability, and regulatory compliance. To strengthen the strategic intelligence behind the platform, Optiml is building REDIˣ, the intelligence layer embedded within organization across Product and Go-to-market (GTM). REDIˣ combines optimization models, market intelligence, and portfolio analytics to help investors make better long-term decisions. By translating market signals—interest rates, energy prices, regulation, and technology costs—into portfolio strategies, REDIˣ enables horizon-aware decision intelligence for real estate investors. We are an ETH Zurich spin-off that launched our first product in April 2024 and are now scaling across Europe and the US. We recently raised an oversubscribed €8M Seed round to accelerate our growth, supported by leading VCs such as KOMPAS, Planet A Ventures, Innovation Endeavors (the fund of former Google CEO Eric Schmidt), BitStone Capital, and The Bau Ventures, along with leading angels. Built on more than a decade of research and proprietary IP, our platform enables institutional investors, owners, and asset managers to make underwritable, forward-looking decisions across the full asset lifecycle — from acquisition to exit — replacing static, backward-looking reports with actionable intelligence. Trusted by leading organizations across Europe and beyond, Optiml supports capital allocation decisions that balance key financial, regulatory, and sustainable considerations under real-world constraints. About the role We are looking for a Product Intelligence Analyst to join the REDIˣ team. The role sits between product, research, and strategy, and helps translate the analytical capabilities of REDI into portfolio-level insights for clients and product development. You will work directly with Founders & Leadership on strategic topics. You will help analyse market signals, stress-test portfolio strategies, and generate research insights that strengthen both the product and Optiml’s thought leadership. This role sits at the intersection of: real estate investment strategy energy system decarbonization advanced optimization models enterprise software product development You will help build a new category of software: Real Estate Decision Intelligence. Tasks Decision Intelligence Analyse real estate portfolios using the REDI platform Stress-test upgrade pathways and capital allocation strategies Translate market signals into portfolio decision insights Product Intelligence Identify new analytical patterns and decision use cases Feed insights back into product development. Example: Risk analysis Help improve modelling assumptions and analytical capabilities Strategic Analysis Analyse macro signals affecting real estate portfolios, including: interest rates and cost of debt, refinancing risk, energy costs, inflation and capex pressures, regulatory developments Work on strategic topics related to Optiml's growth Client Insights Produce portfolio-level analyses for enterprise clients Support sales discussions with strategic decision insights Translate complex analytical outputs into clear decision narratives Research & Thought Leadership Contribute to REDIˣ research publications such as: Refinancing Risk Outlooks, Capital Allocation Strategy Reports, Real Estate Decarbonization Pathways Example work: (1) A €6bn real estate portfolio faces €900M refinancing exposure in 2028 under tightening EPC regulation, (2) Using REDI simulations, you analyse upgrade pathways and capital allocation strategies that minimise refinancing risk and preserve NAV. Requirements PhD (Masters ok if exceptional) in energy systems, engineering, economics, real estate, or related fields Strong analytical and quantitative skills Experience with optimisation, modelling, or quantitative analysis Experience with energy systems, buildings, or decarbonisation modelling Strong data analysis skills (Python, Excel, or similar) Ability to translate technical results into strategic insights Knowledge of real estate markets or infrastructure investments Interest in macroeconomic and policy signals affecting capital allocation AI-first mindset with a strong desire to stay current with emerging automation tools and AI trends Excellent communication and stakeholder management skills; adept with tools (Google & Microsoft Office suite, Notion, Slack, etc.), and structured information flows. Fluent in English; German proficiency nice to have. Swiss or EU citizenship (required at current company size) Benefits 🌍 Impact: Build in a category-defining company at the intersection of real estate, finance, and AI ⚙️ Ownership: Be on of the core members of an innovative team - REDIx - in a fast-growing startup 🚀 Growth: Work directly with founders and shape the commercial trajectory of a fast-scaling company 🏆 Culture: Join a mission-driven, high-performance, and collaborative team. 💡 Benefits: Competitive salary, equity options, learning budget (CHF 1k), 25 days holiday, and additional insurance support.

Responsibilities

The analyst will translate the analytical capabilities of the REDI platform into portfolio-level insights for clients and product development, working directly with leadership on strategic topics. Key tasks involve analyzing market signals, stress-testing portfolio strategies, and generating research insights to strengthen the product and the company's thought leadership.