Head of Trading
Lead our trading team and join our journey of growth, market expertise, and quantitative modelling.
Who we are
Lind Capital is a specialized proprietary trading company focused on the financial markets. We combine market expertise, cutting-edge technology, data-driven decisions, and quantitative models to execute the best possible trades. Our team of 25 professionals are based in our modern offices in Aarhus, Denmark.
The role
As Head of Trading, you will lead a team of currently seven traders, one analyst, and two student assistants who collectively possess deep understanding of the equity markets and our trading strategies. You will also serve as a key member in our four-person leadership team, helping shape the future direction of the company. You will refer to the CEO and will participate in board meetings when relevant.

Key responsibilities

• Lead and develop a diverse team of trading professionals
• Collaborate across functions with our Data Scientists, Software Engineers, Machine Learning Engineers, and Risk professionals
• Drive growth initiatives across new markets and trading strategies
• Build and maintain relationships with brokers and analytics vendors
• Participate in hands-on improvement of trading models and performance
• Serve as a member of the company’s leadership team

• Grow and develop your skills on the job and via relevant courses/trainingCollaborate towards more automation, and more model-based and algorithmic trading

What we are looking for

• Passion for leadership with several years of management experience
• Proven trading experience (equity experience preferred, but other markets valued)
• Ability to identify market inefficiencies and develop trading strategies
• Strong problem-solving skills and clear communication
• Understanding of econometrics, quantitative tools, and modelling
• Interest in software development, data engineering, and machine learning
• Collaborative mindset and team-oriented leadership approach

We encourage you to apply even if you do not meet all of the above.
Our culture
We bring together talented people from diverse backgrounds in an informal work environment focused on creating results together. We empower our team to make decisions and prefer direct collaboration over formal meetings, presentations, and bureaucracy. When challenges arise, we gather around a screen to examine the code or chart together seeking to make decisions efficiently.
We are a winning team also financially. In 2024, the team delivered earnings before tax of DKK 55m and return on equity over the past five years has averaged 20%.
Location
This position is based in Aarhus, Denmark. While flexible work arrangements are supported, success in this role requires regular in-office presence (4-5 days per week). We operate in English and welcome international candidates.

Benefits & Compensation

• Competitive compensation package and ownership in the company
• Professional development opportunities
• Modern office environment
• Work-life balance
• Healthy options via a good canteen, snacks, and fitness
• Career growth potential

Application Process

• Submit your CV, motivation letter, and relevant documents
• Applications are reviewed on a rolling basis
• Initial screening and introductory call
• Interviews with CEO and the board of directors
• Personality profiling

Not sure if this role is right for you? – then please do not hesitate to apply anyway. If your profile looks interesting, we’ll start with a non-committing call to discuss the opportunity before proceeding to formal interviews.
Start date: As soon as possibl

• Lead and develop a diverse team of trading professionals
• Collaborate across functions with our Data Scientists, Software Engineers, Machine Learning Engineers, and Risk professionals
• Drive growth initiatives across new markets and trading strategies
• Build and maintain relationships with brokers and analytics vendors
• Participate in hands-on improvement of trading models and performance
• Serve as a member of the company’s leadership team
• Grow and develop your skills on the job and via relevant courses/trainingCollaborate towards more automation, and more model-based and algorithmic tradin