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

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 of

serious quant depth + leadership

without leaving the modelling behind.

High-impact work where your analysis directly supports real investment decisions.

A team environment that values

mathematical rigour , clear reasoning, and strong collaboration.

Ref:

BBBH26061#J-18808-Ljbffr

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