A Madrid-based investment analytics team is hiring a hands-on Quant Team Lead to combine deep mathematical modelling with day-to-day leadership of a small team.
This is not a "manager-only" job. You'll build models, validate assumptions, work in Python + SQL , and still be the person who sets the technical standard , coaches others, and helps the team deliver decision-grade outputs under real deadlines.
Location: Madrid (Hybrid) - typically 3 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.
Improve quantitative models used for valuation, forecasting, and risk/sensitivity analysis.
Turn messy datasets into reliable outputs (data QA, reconciliation, controls, repeatable pipelines).
Run scenario 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) Strong mathematical/quant foundation (e.g., Maths/Stats/Physics/Engineering/Quant Finance/Econometrics).
Proven experience in quantitative finance / risk / valuation / portfolio analytics (credit risk, asset valuation, model validation, treasury/ALM, derivatives/structured products, etc.).
Strong Python (pandas + modelling workflow) and SQL (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 produce decision-grade analysis (clear thinking, pragmatic modelling, strong judgement).
Nice to have Time series, simulation ( Monte Carlo ), optimisation, or ML applied pragmatically.
Experience building robust analytics tooling (pipelines, c

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🏢 Allen Recruitment
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