Global Quantitative Risk Modeler, Capital Markets Group

hace 4 semanas


Madrid, Madrid, España Jll A tiempo completo

Role Overview

JLL empowers you to shape a brighter future. Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world-class services, advisory, and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers, and find a place where they belong.

Job Summary

We are seeking an experienced quant profile with proven financial/real estate risk and quantitative/data skills to join our Risk Advisory team and be part of the creation and growth of new processes, ways of applying Capital Markets Group tech tools, and quantitative models to originate and deliver projects to maximize the performance of our existing global business.

Key Responsibilities

  • Support the Risk Advisory team to execute projects leveraging Capital Markets Group data and risk quantitative models within the Capital Markets Group innovation framework.
  • Identify and connect suitable and relevant internal/external real estate databases to enrich the platform, including data ingestion from clients.
  • Build prototypes/proof of concept solutions to generate bespoke solutions and ideas for our strategic clients.
  • Pro-active ideation of solutions to improve the platform, including independent, creative problem-solving to address technical challenges.
  • Educate and drive adoption of data-driven processes, including collecting business requirements and acting as a strategic business partner and liaison for the real estate profiles in the Risk Advisory team.

Requirements

We are seeking candidates with prior experience in quantitative modeling, financial risk, and/or real estate consultancy. A strong entrepreneurial mindset, creative problem-solving, ability to work independently, and be a strong team player are essential. Good communication skills are necessary to explain business problems succinctly and in a structured way to our in-house technology partners in JLLT.



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