AI Technology Specialist (Senior Associate/VP) – Private Debt – Copenhagen

We are looking for an AI Technology Specialist to join our Private Debt team in Copenhagen. This is a hands-on role for someone passionate about applying agentic AI, machine learning, automation, and modern software development to real-world decision-making processes.

You will work directly with investment professionals to design, build, and deploy AI-powered agents and applications that improve how investments are sourced, analysed, and monitored. Rather than operating as a traditional data science function, you will be embedded within the team, gaining a deep understanding of workflows and translating business challenges into scalable technology solutions.

Your responsibilities will include developing AI agents, LLM-based workflows, data pipelines, and analytical tools that automate repetitive tasks, extract insights from large volumes of structured and unstructured data, and support decision-making across the investment lifecycle. Use cases may include document intelligence, information extraction, workflow automation, predictive analytics, risk monitoring, and knowledge management.

You will work with a high degree of autonomy, owning the full lifecycle of AI initiatives - from identifying opportunities and designing solutions to development, deployment, and continuous improvement.

Responsibilities

• Develop and implement AI and automation tools across the investment lifecycle, including origination, screening, underwriting support, Investment Committee material generation, and portfolio monitoring
• Design AI-driven solutions to improve speed, accuracy, and scalability of investment workflows
• Build or support tools for automated analysis of investment materials, financial statements, and investment memoranda
• Support the drafting and structuring of Investment Committee materials using AI-assisted workflows
• Enhance portfolio monitoring capabilities through automated data extraction, anomaly detection, and early-warning systems
• Work closely with investment professionals to embed AI tools into day-to-day decision-making processes
• Evaluate and implement external AI solutions and build internal prototypes where needed
• Ensure solutions are robust, explainable, and aligned with investment risk and governance standards

Qualifications

• Great technical background in AI/ML, data science, software engineering, or applied automation
• Hands-on experience with LLMs, NLP, MLOps or applied machine learning in real-world workflows
• Comfortable working with structured and unstructured financial data
• Ability to translate investment and credit processes into scalable technical solutions
• Current technology stack is based on Microsoft Azure, SQL Server Management Studio, Python, PyCharm or Visual Studio Code, Docker, GitHub, GitHub Copilot, and Copilot
• Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Physics, Engineering or a related quantitative field, with great academic performance
• Interest in financial markets and investments is a positive, but experience from the financial services industry is not a requirement
• Excellent written and verbal communication skills in English

About us

Capital Four is a leading credit asset management firm rooted in Scandinavian culture, investing in great companies and exceptional people to deliver attractive value. Headquartered in Copenhagen, Denmark, with offices in New York, London, Frankfurt, Amsterdam and Stockholm, the team of 170 professionals manage €24bn on behalf of a global client base. The firm offers investment solutions within Global High Yield, Leveraged Loans, Structured Credit, Multi-Asset Credit and Private Debt. The team currently manages approximately €5bn across its Nordic and Northern European focused Private Debt mandates. For more details, please visit www.capital-four.com.

Contacts & application

Please apply by uploading your cover letter, CV (no photo) and grade transcript through our website: www.capital-four.com/career. Please submit your application in English and as soon as possible as interviews are conducted on a rolling basis.

All applications must be submitted through our website. We do not accept applications sent by e-mail or social media.

For any questions related to the job offering please do not hesitate to contact Martin Jacobsen ([email protected]) or Per Stoltze Kristensen ([email protected]).

We look forward to receiving your application.