Fasanara Capital
Risk Analytics Associate
Requirements
Candidates must have at least 2 years of experience in data analytics within private credit or securitisation fields. Essential technical requirements include advanced Python skills, intermediate SQL knowledge, and a strong understanding of ABF fundamentals.
Job Description
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.
The Role
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.
Responsibilities
Portfolio Risk Analytics & Insights
- Contribute to the development of portfolio risk analytics across ABF strategies, including: concentration, exposure, performance tracking, stress testing, outlier investigations, monitoring tools, and reporting outputs
- Monitor portfolio risk and limits, identifying emerging risks and escalating issues where appropriate
- Ensure full documentation and reproducibility of models and analytics
Data & Platform Development
- Work closely with Tech and Data Engineering teams to improve the analytics platform, focusing on data quality, reconciliation, and scalability
- Standardise and automate analytics and reporting outputs to improve efficiency and consistency
- Structure and harmonise heterogeneous datasets into consistent portfolio-level views
Stakeholder Collaboration
- Be a cross-functional partner to teams to support portfolio construction, origination assessment, investor relations, and strategic initiatives
- Action reports for regulatory, audit, and governance processes
Essential
- At least 2 years of experience in data analytics within private credit, asset-backed finance, securitisation, or related fields
- Understanding of ABF / securitisation fundamentals, including collateral analysis, portfolio monitoring, and structure mechanics (e.g. waterfalls, triggers)
- Advanced Python, (especially Pandas) skills for data analysis, modelling, and production-ready code
- Knowledge of git, CI/CD and collaborative development environments
- Intermediate SQL skills
- Ability to analyse concentration, exposure dynamics, and performance trends across portfolios
- Ability to translate business and risk requirements into analytical outputs
- Strong communication skills, with the ability to present insights to technical and non-technical audiences in a structured and actionable way
Desirable
- Basics of system design
- Strong grasp of portfolio risk concepts and early warning indicators
- Experience in structuring or exposure to securitisation transactions
- Familiarity with scenario analysis and stress testing frameworks
- Understanding of data engineering concepts (data pipelines, ingestion, transformation)
- Exposure to fintech lending platforms or non-bank lending environments
- Experience working with multiple datasets from different sources, including data integration, standardisation and reconciliation
- Understanding of cloud-based environments (AWS preferred)
- Interest in leveraging AI tools and technologies to enhance analytics capabilities
Our benefits include:
- Performance-related Bonus Scheme
- Private Medical & Dental Insurance through Bupa (including children's cover)
- Life Insurance, Income Protection & Critical Illness Cover
- Employee Assistance Programme (EAP)
- Salary sacrifice pension with Hargreaves Lansdown (currently matched up to 10%)
- Enhanced Maternity & Paternity Leave
- Emergency Parental Leave, Emergency Childcare & Nursery Benefit
- Cycle to Work Scheme
- Charity Giving through CAF
- Annual Wellbeing Budget
- Team socials, annual Summer & Christmas parties, and other events throughout the year
Skills
About Fasanara Capital
Founded in 2011, Fasanara Capital is a global asset manager and technology-driven investment platform. We manage over USD 6 billion in Fintech-focused strategies on behalf of pension funds, insurance companies across Europe and North America. With a team of around 130 professionals, we are a pioneer in Fintech-originated Asset-Based Lending – investing through semi-liquid Alternative Credit funds that deliver meaningful, real-economy impact. Our proprietary technology platform integrates with 139 fintech lenders across more than 60 countries, powering the largest and longest-standing Fintech Lending fund in Europe. In 2018, we launched Fasanara Digital, one of the industry’s first market-neutral digital asset funds. Today, it is a $500 million platform with a 25-person team running a diverse suite of strategies, from high-frequency trading to venture investments. In 2020, Fasanara introduced Fasanara Quant, a quantitative, multi-manager, multi-strategy approach across a wide range of liquid markets. The platform manages close to $200 million and allocates capital to dozens of niche strategies managed by independent, emerging managers around the world. We also back early-stage fintech innovators through our venture capital vehicles, leveraging our central position in the ecosystem to identify and support the next generation of transformative companies.