Quant Technology Lead

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.

Alongside our established Fintech Lending franchise, Fasanara is building Open Quant: an institutional, technology-led multi-manager platform designed to give exceptional quantitative investment teams access to shared capital, infrastructure, execution, risk management and operational support.

Fasanara Open Quant is a fully quantitative multi-strategy, multi-manager hedge fund that aims to generate superior returns through a unique portfolio of investment algorithms. The fund tracks the performance of independent early-stage quant trading teams globally, using their collective intelligence to harvest persistent, uncorrelated returns. The fund has been growing rapidly and achieving strong returns.

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.

We are seeking a Quant Technology Lead to lead the design, architecture, delivery, and continuous evolution of the technology platform powering Fasanara Open Quant.

Reporting directly to the Head of Technology, the successful candidate will be fully dedicated to the Open Quant business, working closely with the Head of Quant Division and the Quant investment team. As the primary technology partner to the business, they will translate investment, portfolio, risk, and operational requirements into scalable production technology.

This is a highly hands-on technical leadership role. The successful candidate will design and build core platform capabilities while working directly with portfolio managers, quantitative researchers, traders, risk professionals, operations teams, and engineers.

The ideal candidate combines deep software engineering and architecture expertise with a strong understanding of financial markets and investment technology. As Open Quant continues to scale, they will play a central role in defining its technical roadmap and developing the dedicated Quant Technology function.

• Lead the design, architecture, development, and evolution of the Open Quant technology platform.
• Build scalable, secure, resilient, cloud-native systems supporting a growing multi-manager quantitative investment business.
• Define the technical roadmap for core investment, portfolio, risk, data, and operational systems.
• Design robust APIs, data models, and integration frameworks.
• Establish strong engineering standards across security, scalability, reliability, and operational excellence.
• Act as a hands-on technical lead while helping develop the wider Quant Technology function.

• Design and develop institutional-quality investment and portfolio management technology.
• Build portfolio aggregation, investment analytics, and cross-manager risk monitoring capabilities.
• Develop portfolio, risk, and analytics capabilities on top of a centralised Position Ledger.
• Build APIs and data services providing investment, portfolio, and risk information to Portfolio Management, Risk, and Operations.
• Ensure investment data and analytics are accurate, reproducible, and auditable.

• Lead the development of a central Position Ledger integrating broker positions into a standardised and auditable data model.
• Build and maintain security master and pricing datasets.
• Design scalable market, portfolio, reference, and operational data architecture.
• Build resilient data pipelines supporting quantitative research, portfolio management, analytics, and production monitoring.
• Integrate market data providers, prime brokers, custodians, fund administrators, and other external systems into the platform.

• Drive the practical application of AI across software development and investment workflows.
• Identify opportunities to automate investment and operational processes while maintaining appropriate controls and auditability.
• Evaluate emerging technologies that can improve platform performance, scalability, and engineering productivity.

• Act as the primary technology partner to the Open Quant business.
• Work closely with portfolio managers and quantitative researchers to translate investment requirements into robust…