A Madrid-based investment analytics team is hiring ahands-on Quant Team Lead to combinedeep mathematical modelling withday-to-day leadership of a small team. This is not a “manager-only” job. You’llbuild models, validate assumptions, work in Python + SQL, and still be the person whosets the technical standard, coaches others, and helps the team deliver decision‑grade outputs under real deadlines. Location: Madrid (Hybrid) — typically3 days/week in-office. What you’ll do Lead the analytics delivery on live valuation / portfolio analysis work (hands‑on modelling + ownership). Mentor and level‑up analysts: technical reviews, modelling best practice, quality control, and clearer communication. Improvequantitative models used for valuation, forecasting, and risk/sensitivity analysis. Turnmessy datasets into reliable outputs (data QA, reconciliation, controls, repeatable pipelines). Runscenario analysis / stress testing and clearly explain key drivers of value and risk. Present your findings to senior stakeholders (committee‑style conversations) and defend assumptions calmly. Improve how the team works: templates, documentation, automation, and model governance. What we’re looking for (must-haves) Strongmathematical/quant foundation (e.G.,



Maths/Stats/Physics/Engineering/Quant Finance/Econometrics). Proven experience inquantitative finance / risk / valuation / portfolio analytics (credit risk, asset valuation, model validation, treasury/ALM, derivatives/structured products, etc.). StrongPython (pandas + modelling workflow) andSQL (real datasets, performance/accuracy, QA checks). Leadership signal : team lead/manager/project lead, or clear evidence of mentoring/coaching and quality ownership. Able to work at pace and producedecision‑grade analysis (clear thinking, pragmatic modelling, strong judgement). Nice to have Credit risk modelling exposure:PD / LGD / EAD, IFRS 9 / regulatory capital topics. Model validation / model risk governance experience. Time series, simulation (Monte Carlo ), optimisation, or ML applied pragmatically. Experience building robust analytics tooling (pipelines, controls, dashboards). Why this role (Madrid) A rare mix ofserious quant depth + leadership without leaving the modelling behind. High-impact work where your analysis directly supports real investment decisions. A team environment that valuesmathematical rigour, clear reasoning, and strong collaboration. Ref: BBBH26061 #J-18808-Ljbffr

📌 Quant Team Lead (Madrid)
🏢 Allen Recruitment
📍 Madrid