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Senior Quantitative Trader

Enemix


Job Location:

Berlin - Germany

Monthly Salary: Not provided by the employer
Posted: 22 August 2026 (19 hours ago)
Application Deadline: 19 November 2026
Vacancies: 1 Vacancy

Job Summary

Job Description
Job Advertisement: Senior Quantitative Trader
Overview

Are you a seasoned quantitative trader with a passion for innovation and a desire to make a tangible impact in the renewable energy sector I am seeking a Senior Quantitative Trader to join a fast-growing forward-thinking company at the forefront of energy transition. This is a unique opportunity to combine your expertise in trading quantitative strategy and AI to optimize large-scale battery energy storage systems and drive the future of sustainable energy.

Responsibilities

As a Senior Quantitative Trader you will:

  • Take full P&L ownership of asset-backed trading for battery energy storage systems.
  • Develop and refine trading strategies and optimization algorithms for battery storage.
  • Build benchmarks for battery optimization and reporting to ensure operational excellence.
  • Operationalize battery optimization within algorithmic trading frameworks.
  • Create proprietary price forecasts across markets relevant to battery dispatch and arbitrage.
  • Collaborate with AI/ML experts to enhance deep learning models that underpin trading strategies.
  • Design and implement algorithmic trading strategies ranging from mid-term quantitative approaches to high-frequency trading applied to asset-backed positions.
  • Work closely with software and data engineers in a product-owner capacity to deliver robust trading solutions.
  • Participate in day-to-day trading operations during day shifts and take on periodic night on-call shifts (with additional compensation).
Qualifications
  • A proven track record in proprietary or quantitative trading with P&L ownership and experience with asset-backed trading.
  • A strong quantitative or statistical background with experience building price forecasting models.
  • Proficiency in programming languages such as Python for strategy development and model collaboration.
  • A strong interest in or experience with applying deep learning/ML to trading strategies.
  • Familiarity with energy/power markets and battery storage optimization (preferred but not mandatory).
  • A proactive ownership-driven mindset with the ability to translate trading intuition into actionable model and product requirements.
  • Excellent collaboration skills particularly in cross-functional agile environments.
Day-to-Day
  • Monitoring and managing the performance of battery energy storage systems in real-time markets.
  • Developing and testing new trading strategies and optimization frameworks.
  • Collaborating with AI/ML specialists and engineers to refine deep learning models and trading algorithms.
  • Analyzing market data to continuously improve price forecasts and trading strategies.
  • Participating in trading operations during day shifts and being available for periodic night on-call shifts.
  • Engaging in cross-functional projects to enhance the companys trading infrastructure and capabilities.
Benefits
  • Significant learning opportunities in the energy trading and battery storage space.
  • The chance to work with a dynamic international team on a meaningful mission to drive climate neutrality.
  • In-house catering snacks and beverages.
  • Flexible remote work options including the ability to work from abroad.
  • A Deutschland Ticket subscription for convenient and sustainable commuting.

Required Experience:

Senior IC