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Portfolio Management Associate, Data & Analytics
YouLend
London, GBR
Full-time
Mid · 3+ years experience
Onsite
Discovered 1 weeks ago
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Key Responsibilities
- Own portfolio monitoring for our capital mandates end to end — write the code that produces the numbers, then own the read on what they mean and what we should do about it
- Build and automate the monitoring and reporting that tracks performance, covenant headroom and facility utilisation, replacing manual processes with pipelines that run themselves
- Design the dashboards and visualisations that senior executives, lenders and investors rely on, and stand behind the accuracy and the commentary that goes with them
- Assess and manage the performance of underlying capital mandates: vintage and cohort analysis, loss curves, yield and advance-rate decomposition, and the early-warning indicators that flag problems before month end
- Build the scenario and sensitivity analysis — stress cases, downside macro scenarios and structural what-ifs — and interpret the output to inform capital allocation, facility sizing and pricing decisions
- Develop and maintain cashflow and waterfall models supporting portfolio decision-making, new facility structuring and refinancing
- Write production-quality SQL and Python and build database tables and dbt models alongside our data engineering teams, so that monitoring is self-serve rather than a recurring manual task
- Bring engineering discipline to analytical work — version control, code review, testing and documentation — and help set that standard across the team
- Translate analysis into a clear recommendation: identify the trend, size the impact, and communicate it directly to senior stakeholders and external counterparties
Skills, Knowledge & Expertise
- 3–5 years of experience in data analytics, capital markets, structured finance, credit risk or a comparable quantitative role — ideally within Finance or FinTech
- Strong academic background including at least a Bachelor's degree (Mathematics, Engineering, Statistics, Computer Science, Computational Finance, Economics) or equivalent
- Advanced, hands-on SQL and Python — you build and maintain analytical code and automation yourself rather than specifying it for someone else
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