At a Glance
- Tasks: Lead portfolio risk analytics and translate complex data into actionable insights.
- Company: Join Fasanara, a pioneering global asset manager in Fintech strategies.
- Benefits: Enjoy competitive bonuses, health benefits, generous leave, and fun team events.
- Other info: Mentor junior team members and drive the evolution of our analytics platform.
- Why this job: Make a real impact in a collaborative environment focused on innovation and excellence.
- Qualifications: 5+ years in data analytics with strong Python and SQL skills.
The predicted salary is between 80000 - 100000 € per year.
Company Overview
Founded in 2011, Fasanara is a global asset manager and technology platform managing c. USD 5.7 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.130 employees globally, we are a pioneer investor in Fintech Lending and Digital Asset investing.
Our Culture
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 Role
The Risk Analytics Lead, VP is responsible for leading 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 also involves managing and developing junior team members, driving the evolution of the analytics platform, and ensuring high standards of data quality, governance, and scalability.
Responsibilities
- Lead the execution of portfolio risk analytics across ABF strategies, including concentration, exposure, performance diagnostics, and outlier investigations.
- Deliver clear, decision‑ready insights to support the Risk and Investment teams.
- Monitor portfolio risk and limits, identifying emerging risks and escalating issues where appropriate.
- Develop originator‑level analytics and monitoring frameworks, including performance tracking and early risk identification.
- Translate business and risk requirements into scalable analytics frameworks, including metric definitions, monitoring tools, and reporting outputs.
- Drive the development, enhancement, and validation of risk models, ensuring robustness and alignment with portfolio characteristics.
- Enhance scenario analysis and stress testing capabilities across portfolios under different market conditions.
- Ensure full documentation, reproducibility, and auditability of all models and analytics.
- Work closely with Tech and Data Engineering teams to improve the analytics platform, focusing on data quality, reconciliation, and scalability.
- Design and implement analytics using granular (loan‑level) data across multiple originators and products.
- Standardise and automate analytics and reporting outputs to improve efficiency and consistency.
- Structure and harmonise heterogeneous datasets into consistent portfolio‑level views.
- Partner with Portfolio Management and Capital Markets teams to support portfolio construction, origination assessment, and strategic initiatives.
- Provide analytics and documentation for regulatory, audit, and governance processes.
- Support broader business functions including Investor Relations with data‑driven insights.
- Communicate analytical findings clearly to both technical and non‑technical stakeholders.
- Coordinate and oversee the day‑to‑day activities of the Risk Analytics team, setting priorities and ensuring timely delivery.
- Review team outputs to ensure quality, consistency, and accuracy.
- Mentor and develop junior team members, supporting their technical and professional growth.
- Manage multiple workstreams simultaneously, maintaining a strong ownership and execution mindset.
Requirements
Essential
- 5+ years of experience in data analytics within private credit, asset‑backed finance, securitisation, or related fields.
- Strong understanding of ABF / securitisation fundamentals, including collateral analysis, portfolio monitoring, and structure mechanics (e.g. waterfalls, triggers).
- Advanced Python skills for data analysis, modelling, and production‑level code.
- Advanced SQL skills for working with large and complex datasets.
- Strong experience designing and implementing portfolio analytics using granular data.
- Proven ability to analyse concentration, exposure dynamics, and performance trends across portfolios.
- Experience working with multiple datasets from different sources, including data standardisation and reconciliation.
- Solid understanding of risk modelling techniques, including implementation, testing, and documentation.
- Strong grasp of portfolio risk concepts and early warning indicators.
- Experience coordinating or mentoring junior team members.
- Ability to translate business and risk requirements into analytical outputs.
- Strong communication skills, with the ability to present insights in a structured and actionable way.
- Experience working cross‑functionally with Risk, Investment, and Technology teams.
Desirable
- Experience in structuring or exposure to securitisation transactions.
- Familiarity with scenario analysis and stress testing frameworks.
- Experience with Git and collaborative development environments.
- Understanding of data engineering concepts (data pipelines, ingestion, transformation).
- Exposure to fintech lending platforms or non‑bank lending environments.
- Interest in leveraging AI tools and technologies to enhance analytics capabilities.
Benefits
- Competitive bonus scheme
- Bupa health & dental, Cycle to Work scheme, enhanced pension, and generous annual leave
- Enhanced parental leave, special leave allowances, and charity giving options
- Regular team events, legendary summer & Christmas parties, knowledge sharing sessions, and quarterly town halls
- Team lunches, dinners, Friday drinks, team sport activities
Risk Analytics Lead, VP in London employer: Fasanara Capital
Fasanara is an exceptional employer that champions a meritocratic culture, fostering collaboration and inclusivity while minimising bureaucracy. Employees benefit from competitive bonuses, comprehensive health plans, and generous leave policies, alongside ample opportunities for professional growth and development in a dynamic fintech environment. With a focus on teamwork and integrity, Fasanara empowers its staff to make impactful contributions and shape the future of asset management.
StudySmarter Expert Advice🤫
We think this is how you could land Risk Analytics Lead, VP in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values and how they align with your own. This will help you showcase why you're the perfect fit for Fasanara!
✨Tip Number 3
Practice your analytical skills! Be ready to discuss your experience with data analytics and risk modelling. Use real examples from your past work to demonstrate your expertise and problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at Fasanara.
We think you need these skills to ace Risk Analytics Lead, VP in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Risk Analytics Lead role. Highlight your experience in data analytics, especially in asset-backed finance and securitisation. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit for Fasanara. Keep it concise but impactful!
Showcase Your Technical Skills:Don’t forget to emphasise your advanced Python and SQL skills. We’re looking for someone who can handle complex datasets and translate them into actionable insights, so make sure to highlight relevant projects or experiences.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Fasanara Capital
✨Know Your Numbers
Make sure you’re well-versed in the key metrics and analytics relevant to asset-backed finance. Brush up on your understanding of collateral analysis, portfolio monitoring, and risk modelling techniques. Being able to discuss these confidently will show that you’re not just familiar with the concepts but can apply them effectively.
✨Showcase Your Technical Skills
Since this role requires advanced Python and SQL skills, be prepared to discuss specific projects where you've used these tools. Bring examples of how you've designed and implemented portfolio analytics using granular data. If possible, demonstrate your coding skills or share insights from your past work that highlight your technical expertise.
✨Communicate Clearly
You’ll need to present complex analytical findings to both technical and non-technical stakeholders. Practice explaining your insights in a structured and actionable way. Use clear language and avoid jargon when possible, as this will help you connect better with your interviewers and demonstrate your communication skills.
✨Emphasise Team Collaboration
Fasanara values teamwork and collaboration, so be ready to discuss your experience working cross-functionally with different teams. Share examples of how you’ve mentored junior team members or contributed to a collaborative project. Highlighting your ability to work well with others will align with their culture of inclusivity and trust.
