A Madrid-based investment analytics team is hiring ahands-on Quant Team Leadto combinedeep mathematical modellingwithday-to-day leadershipof 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 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 have
Credit risk modelling exposure: PD / LGD / EAD, IFRS 9 / regulatory capital topics.
Model validation / model riskgovernance experience.
Time series, simulation (Monte Carlo)

📌 Team Leader (Madrid)
🏢 Allen Recruitment
📍 Madrid