Quant Team Lead

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), 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.
• A team environment that valuesmathematical rigour, clear reasoning, and strong collaboration.

Ref: BBBH26061

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