About equation - Predictive Analytics in Private Markets: Equation is a data centric, technology- driven investment and analytics firm. We are building a comprehensive data and intelligence platform to enable superior investment decisions and greater confidence allocating capital in venture capital and private equity. We employ rigorous data collection and software-enabled analysis to uncover actionable insights. By developing tools that optimize investor workflows, we help our investment team to back leading venture capital and private equity funds. Financial institutions and family offices trust our platform in delivering actionable insights for private market investing.
In this role, you will be instrumental in driving product development and will collaborate closely with founders, data scientists, and our investment team to ensure our collective vision becomes reality.
We are seeking a Full Stack Software Engineer to join our dynamic and forward-thinking organization. You will have the opportunity to influence everything from architectural decisions to feature implementations, ensuring our platform is robust, user-friendly, and at the cutting edge of fintech innovation.
Collaborate with cross-functional teams to translate strategic visions into tangible software solutions.
Technical Ownership & Hands-On Contribution
Write clean, efficient code in Python and JavaScript.
Configure and manage relational (SQL) and NoSQL databases, automation pipelines, and message queues to maintain system reliability.
Maintain clear, concise documentation for seamless knowledge sharing and onboarding.
Bachelor’s and Master’s degree in Computer Science, Software Engineering, Information Technology, or a closely related field.
PhD in Computer Science or a related discipline.
3–5 years of professional software development experience.
~ Hands-on roles as a Developer or Senior Developer.
~ Initial experience leading small teams or projects.
~ Prior exposure to fintech or asset management.
Proficiency in JavaScript (Vue.js/Nuxt.Strong SQL skills; Proficient in Python
Data Engineering (ETL, data warehousing).
IT Architecture (designing and implementing complex software solutions).
Data Science (statistical analysis, machine learning).
English proficiency (verbal and written).
Engage in open, constructive feedback loops that encourage continuous improvement and personal development.
Attractive salary, with ample room for professional growth.
Challenging and Impactful Projects
Work on complex, data-driven solutions that reshape private capital markets and empower investors.
Join a diverse, international team in an open and collaborative environment.
If you’re excited by the opportunity to shape the future of private capital markets and want to contribute to a highly innovative team, we’d love to hear from you.
Links to any projects or code repositories you’d like to share
Join us to redefine data-driven investing—together! He has invested in multiple startups, which have collectively raised over €600 million in Venture Capital. Mark Schmitz holds an honorary board position in the German Private Equity and Venture Capital Association (BVK).
Reiner Braun is the Chair of Entrepreneurial Finance at the Technical University of Munich and has been researching corporate finance in private capital markets for over a decade. He conducted research projects in collaboration with Oxford and Harvard University and sits on the board of the Center for Digital Technology and Management.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetics, disability, age.