A Madrid-based investment analytics team is hiring ahands-on Quant Team Leadto combinedeep mathematical modellingwithday-to-day leadershipof a small team.Si le interesa solicitar este empleo, por favor, asegúrese de cumplir los siguientes requisitos que se enumeran a continuación.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 doLead the analytics deliveryon live valuation / portfolio analysis work (hands‑on modelling + ownership).Mentor and level‑upanalysts: technical reviews, modelling best practice, quality control, and clearer communication.Improvequantitative modelsused for valuation, forecasting, and risk/sensitivity analysis.Turnmessy datasetsinto reliable outputs (data QA, reconciliation, controls, repeatable pipelines).Runscenario analysis / stress testingand 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‑gradeanalysis (clear thinking, pragmatic modelling, strong judgement).Nice to haveCredit risk modelling exposure:PD / LGD / EAD, IFRS 9 / regulatory capital topics.Model validation / model riskgovernance 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 + leadershipwithout leaving the modelling behind.High-impact work where your analysis directly supports real investment decisions. xhfqzwm A team environment that valuesmathematical rigour, clear reasoning, and strong collaboration.Ref: BBBH26061#J-18808-Ljbffr

📌 Hands-On Quant Team Lead — Madrid (Hybrid)
🏢 Allen Recruitment
📍 Madrid