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Fasanara Capital is seeking a Risk Analytics Associate to join the ABF portfolio analytics team. You will translate complex portfolio data into insights supporting investment decisions, risk monitoring, and portfolio construction, with a strong focus on production-ready code and scalable analytics.
The role blends data analytics with commercial judgment, collaborating with Portfolio Management, Capital Markets, and Investor Relations to deliver robust risk insights and scalable tools.
Founded in 2011, Fasanara is a global asset manager and technology platform managing approximately USD 6 billion in assets under management as of July 2026, investing across private and public markets on behalf of institutional investors globally. With c.130 employees globally, we are a pioneer investor in Fintech Lending and Digital Asset investing.
Fasanara manages the largest and longest-standing Fintech Lending fund in Europe and invests in early-stage Fintech companies via its venture capital vehicles, using its central role in the Fintech ecosystem to identify and back revolutionary new businesses.
We are strong believers in meritocracy, and we seek to reward people based on impact, judgement, and excellence in execution. We keep bureaucracy to a minimum, so decisions are made quickly and people have real ownership. Our environment is collaborative, inclusive, entrepreneurial, and built on trust. We set ambitious goals, work hard in a focused and sustainable way, and place a strong emphasis on teamwork, integrity, and quality in everything we do. We know we are only as good as our people, so we are deliberately building the firm around exceptional talent and diverse perspectives, and we support our leaders to grow, influence, and shape the future of the business.
The Risk Analytics Associate works on the development and delivery of portfolio risk analytics across Fasanara's Asset-Backed Finance (ABF) strategies. This role sits at the intersection of Risk, Investment, and Technology, translating complex portfolio data into actionable insights to support investment decisions, portfolio construction, and risk monitoring.
The position combines strong technical expertise in data analytics and modelling with a commercial mindset, supporting multiple stakeholders including Portfolio Management, Capital Markets, and Investor Relations. The role involves writing a lot of code for the analytics platform, and ensuring high standards of code and data quality, as well as scalability.