About Fasanara
Founded in 2011, Fasanara is a global asset manager and technology platform.
We manage c. USD 6 billion AUM (as of December 31, 2025) in Fintech strategies on behalf of pension funds and insurance companies in Europe and North America.
With c.110 employees globally, we are a pioneer investor in Fintech Lending, enabling Real Economy Impact.
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.
Our Culture
We are strong believers in meritocracy, and we seek to reward people based on impact and excellence. There is no bureaucracy, typical of large organisations. The environment is collaborative, entrepreneurial, and trust based. We set ambitious goals, work extremely hard, stress the importance of teamwork, and adhere to the highest level of excellence in everything we do. We are only as good as our team. Thus, we are building the firm around exceptional talent.
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
- 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.
- Ensure full documentation and reproducibility of models and analytics.
- Work closely with Tech and Data Engineering teams to improve data quality and reconciliation.
- Action reports for regulatory, audit, and governance processes.
Requirements
Requirements
Essential
- Interest in data analytics within private credit, asset-backed finance, securitisation, or related fields.
- Basics of ABF / securitisation fundamentals
- Intermediate Python, (especially Pandas) skills for data analysis, motivation to write production-ready code.
- Basics 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
- Understanding of portfolio risk concepts
- Exposure to securitisation transactions.
- Familiarity with scenario analysis and stress testing frameworks.
- Understanding of data engineering concepts (data pipelines, ingestion, transformation).
- 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.
Benefits
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 Required
- Interest in data analytics within private credit, asset-backed finance, securitisation, or related fields
- Basic understanding of asset-backed finance and securitisation fundamentals
- Intermediate Python skills, especially Pandas, with motivation to write production-ready code
- Basic 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 for presenting insights to technical and non-technical audiences
- Understanding of portfolio risk concepts
- Exposure to securitisation transactions
- Familiarity with scenario analysis and stress testing frameworks
- Understanding of data engineering concepts, including data pipelines, ingestion, and transformation
- Experience working with multiple datasets, including data integration, standardisation, and reconciliation
- Understanding of cloud-based environments, preferably AWS
- Interest in using AI tools and technologies to enhance analytics capabilities
What We Do
Founded in 2011, Fasanara Capital is a global asset manager and technology-driven investment platform. We manage over USD 5 billion in Fintech-focused strategies on behalf of pension funds, insurance companies across Europe and North America. With a team of around 110 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 141 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 $280 million platform with a 20-person team running a diverse suite of strategies, from high-frequency trading to venture investments. 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.
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