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Quantitative Analyst

Alpiq Holding AG -
Lausanne, VD

Soumettre votre candidature

Détails de l'emploi

CDI | 100%
Il y a 4 jours

Qualifications

MATLAB
Niveau Doctorat
Anglais
Niveau Licence
Compétences en communication
Python

Description complète du poste

Lausanne - 100% | Permanent

We are very excited to be recruiting for this vacancy, which is part of our transformation journey in trading. This newly created role will report to our Head of Quantitative Model Development and play an important role in the development of our analytics framework. It therefore is a very attractive opportunity for a senior profile, who would like to put all their experience and best practices to use and make a significant impact. On the other hand, we are also open to more junior talent, who want to grow with us. This job location is flexible between Olten and Lausanne, Switzerland. Relocation support will be provided.

Your accountabilities

Develop and implement high-performance algorithms for hydro asset optimization across multiple markets (e.g., day-ahead, intraday, ancillary services), including bidding strategies under uncertainty.
Integrate forecasting inputs (price, inflows, renewable generation, demand) into stochastic or scenario-based optimization models.
Back-test and validate models using historical market data and hydrological time.
Improve scalability and runtime performance of optimization pipelines (e.g., DP, LP/MILP, stochastic programming approaches).
Support and maintain existing hydro optimization tools and processes, ensuring robustness and transparency for trading desks.
Support pricing teams in the valuation of hydro assets, structured products, M&A, and tolling agreements across European markets.
Collaborate with traders and originators to translate market conditions, hydrology, and regulatory constraints into actionable quantitative strategies.

Send us your application

Are you looking to make an impact in the energy sector? Become part of Alpiq - your energy matters!

Your profile

University degree, preferably PhD, in Electrical Engineering, mathematics, physics or similar.
Expertise in power markets and knowledge of physical assets.
Experience with (stochastic) optimization methods.
Financial derivatives knowledge (financial mathematics, term structure models) is a plus.
Strong development skills (Python, Matlab).
Good communication skills, ability to influence and work with the front office and other functions across the business.
Fluent English, additional languages a plus.
Availability to work onsite in Lausanne or Olten.

Your benefits

Competitive salary package

Market-oriented salary

Training and development

Diverse opportunities for career growth

Flexible work models

Various flexible work models

Contact

Federica Maraschio
[email protected]

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Inclusion is at the heart of Alpiq

At Alpiq, we are committed to creating an inclusive work environment, where everyone can bring their ‘whole selves’ to work and feel valued, respected, and heard. This principle is central to our company’s purpose, values, and leadership approach. We strongly believe that organizations thrive through the inclusion of diversity. Everyone’s energy matters regardless of characteristics, such as age, gender, nationality, language, sexual orientation and identity, religion, social or ethnic background or any other personal traits.

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At Alpiq, data privacy is an important topic. Please therefore take note of the corresponding Privacy Notice that appears in the online application form and explains in detail the purpose for which we process your personal data. It is of great concern to us to inform you as transparently as possible and process your data only in a fair manner.

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python emplois - vaud

Quantitative Analyst

T2607 Biostatistician Intern (12 months)

AI Engineer

Senior Automotive Vehicle Solution Owner

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : python (vaud)

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Send us your application

Your benefits

Competitive salary package

Training and development

Flexible work models

Contact

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