Quant Team Lead

Allen Recruitment

Madrid

Presencial

EUR 60.000 - 90.000

Jornada completa

14 días+

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Descripción de la vacante

Allen Recruitment in Madrid is seeking a hands-on Quant Team Lead to combine deep mathematical modelling with day-to-day leadership of a small analytics team. You’ll build models, validate assumptions, work in Python + SQL, and set the technical standard while coaching others under tight deadlines.

Location: Madrid (Hybrid) with typically 3 days in-office. You’ll lead analytics delivery on live valuation and portfolio analysis, mentor analysts, improve models, and turn messy datasets into

Formación

  • Strong mathematical/quant foundation.
  • Experience in quantitative finance, risk, valuation or portfolio analytics.
  • Strong Python (pandas) and SQL skills.
  • Leadership experience: team lead or mentoring.
  • Ability to deliver decision-grade analysis under deadlines.

Responsabilidades

  • Lead analytics delivery on live valuation and portfolio analysis (hands-on modelling + ownership).
  • Mentor analysts with modelling best practices and quality control.
  • Improve quantitative models used for valuation, forecasting, and risk/controls.
  • Turn messy datasets into reliable outputs with QA and pipelines.
  • Run scenario analysis and stress testing; explain drivers of value and risk.
  • Present findings to senior stakeholders and defend assumptions.
  • Improve team processes: templates, documentation, automation, governance.

Conocimientos

Math/Stats/Physics
Quant Finance
Python
SQL
Leadership
Mentoring

Herramientas

Pandas

Descripción del empleo

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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