At Circonomit, we’re dedicated to revolutionising how organisations perceive and manage their resources. Our mission is to build the strategic twin of organisations—a sophisticated control system that comprehensively understands the true impact of time, money, and resources. We are committed to eliminating adverse outcomes resulting from hidden interdependencies, enabling organizations to operate more efficiently and sustainably. We are seeking an advanced mathematician with strong operations research exposure and a focus on models and optimization to join our dynamic team. In this role, you will bring decision-making and computation algorithms to life. As a key contributor, you will ensure the mathematical backbone and algorithms of our strategic twin, working closely with the founders. If you are passionate about math, models, and operations research for driving strategic decision-making and thrive in a fast-paced, nerdy environment, we would love to hear from you! Responsibilities Shape and own the mathematical backbone and computational algorithms of our strategic twin Design and implement computations to analyse interdependencies in time, money, and resources, developing optimisation routes for real-world use cases (e.g., trade-offs, resource allocation, scheduling) Collaborate and code with software engineers to integrate mathematical solutions into our control system. Conduct data analysis to validate mathematical models and their effectiveness, especially managing the numerical stability and performance in algorithmic computations Engage in research to stay updated on advancements in mathematics and how they interrelate with AI capabilities Requirements 3 years of experience in applied maths and operations research with a deep care for optimisation and game theory Proven ability to model and reason about real-world systems, processes, and causal structures Proficiency in Python, especially with NumPy, SciPy, SymPy, and numerical solvers Ability to translate complex mathematical concepts to non-technical stakeholders and code Advanced experience with numerical methods, such as approximation, interpolation, and numerical solvers Advanced experience with linear and nonlinear systems of equations, matrix algebra, differential equations, stochastic models, and agent-based systems Familiarity with machine learning concepts and techniques is a plus Having a Master's or Ph.D. degree in Mathematics or a related field is appreciated You must speak German at level C1 or higher You must speak English at level C1 or higher You already live or are willing to relocate to Cologne, Germany Benefits We are an early-stage organisation that values speed of development without cutting corners on core product quality. We are in the game to build a scalable and maintainable decision infrastructure and seek obsessed nerds and engineers, not just programmers or theoretical thinkers, who push the edge between language models and mathematical computation into simple, coherent computation flows. Everyone should have skin in the game why we offer both competitive salaries and equity packages. Ownership and authority in decision-making are not only possible but required. We love hard work and sports, so that benefit is also covered. Can't wait to chat! “Hustle the day, analyze at night, reinforce something outstanding” Period. Erik & Dana