Quantitative Modelling Lead – Commodities Trade

Our client, a prominent global financial institution, is seeking a Quantitative Modelling Lead to join their team. This role is suitable for a candidate with deep expertise in quantitative methodologies and a drive to develop cutting-edge analytics solutions that inform and optimize commodity management decisions. You will work closely with business stakeholders to align on strategic priorities, enhance workflows, and apply advanced data science techniques.

Duties Include:

1. Oversee the evaluation, onboarding, and technical integration of third-party quant solutions
2. Define modelling requirements based on trading objectives and market data characteristics
3. Collaborate with engineering and quant teams to ensure seamless deployment
4. Translate business questions into research hypotheses and model specifications
5. Monitor performance, retrain models, and ensure compliance with internal risk standards
6. Maintain market awareness of new data science vendors and modelling capabilities in the industry
7. Act as a key bridge between commercial, data science, and technology teams

The ideal candidate should possess strong knowledge of DevOps practices (e.g., Git, Agile methodology), with additional knowledge in MLOps, model architecture design, and testing patterns. Excellent communication and interpersonal skills are essential to interact effectively at all levels of the business.

If you are interested in this opportunity, please email your C.V. to contact@altussearch.ch or call Altus Search at +41 (0) 41 560 02 21 for a confidential discussion.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Finance and Information Technology