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

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