At a Glance
- Tasks: Lead portfolio risk analytics and deliver actionable insights for investment decisions.
- 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: Collaborative culture focused on meritocracy and professional growth.
- Why this job: Make a real impact at the intersection of Risk, Investment, and Technology.
- 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 employer: Fasanara Capital
Fasanara is an exceptional employer that champions a meritocratic culture, fostering collaboration and inclusivity while prioritising employee growth and development. With a strong emphasis on teamwork and integrity, employees enjoy competitive benefits such as a bonus scheme, health and dental coverage, and generous leave policies, all within a dynamic environment that encourages innovation and ownership. Located in a vibrant financial hub, Fasanara offers unique opportunities to work at the forefront of Fintech and asset management, making it an ideal place for professionals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Risk Analytics Lead, VP
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Fasanara. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Prepare for interviews by diving deep into risk analytics and the fintech landscape. Show us you know your stuff and can translate complex data into actionable insights.
✨Tip Number 3
Don’t just focus on your technical skills; highlight your ability to mentor and lead. We love candidates who can develop junior team members and drive collaboration.
✨Tip Number 4
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.
We think you need these skills to ace Risk Analytics Lead, VP
Some tips for your application 🫡
Show Your Passion:When you're writing your application, let your enthusiasm for the role shine through! We want to see that you’re genuinely excited about the opportunity to lead risk analytics at Fasanara and how your skills align with our mission.
Tailor Your CV:Make sure your CV is tailored to highlight your experience in data analytics, especially in asset-backed finance. We love seeing how your past roles have prepared you for this position, so don’t hold back on those relevant achievements!
Be Clear and Concise:Keep your application clear and to the point. We appreciate straightforward communication, so make sure your insights and experiences are easy to digest. Avoid jargon unless it’s absolutely necessary!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Fasanara!
How to prepare for a job interview at Fasanara Capital
✨Know Your Numbers
Make sure you brush up on your data analytics skills, especially in Python and SQL. Be ready to discuss specific examples of how you've used these tools to analyse portfolio risk or performance trends. Fasanara will want to see that you can translate complex data into actionable insights.
✨Understand the Business
Fasanara is all about Fintech strategies and asset-backed finance. Familiarise yourself with their investment approach and the fundamentals of securitisation. Being able to speak knowledgeably about collateral analysis and portfolio monitoring will show that you're aligned with their goals.
✨Showcase Your Leadership Skills
As a Risk Analytics Lead, you'll be managing and mentoring junior team members. Prepare to share your experiences in leading teams, setting priorities, and ensuring quality outputs. Highlight any past successes in developing talent and driving team performance.
✨Communicate Clearly
You’ll need to present analytical findings to both technical and non-technical stakeholders. Practice explaining complex concepts in simple terms. Fasanara values clear communication, so being able to convey your insights effectively will set you apart from other candidates.
