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Quant Analyst

Larson Maddox Amsterdam, Netherlands
Posted 25 days ago In-Office Job Permanent Negotiable

Job Description: Quantitative Analyst - Commodities/Energy Sector

Location: Amsterdam, Netherlands

Employment Type: Full-time, On-site

About Our Client: Our client is a leading renewable energy trading firm based in Amsterdam, dedicated to driving innovation and sustainability in the energy sector. They specialize in trading and optimizing renewable energy commodities, providing cutting-edge solutions that contribute to a greener future.

Position Overview: Our client is seeking a highly skilled and experienced Quantitative Analyst with a strong background in the commodities/energy sector. The successful candidate will play a pivotal role in developing and implementing quantitative models and strategies to support trading activities and risk management. This is a fully on-site position in Amsterdam, offering the opportunity to work in a dynamic and collaborative environment at the forefront of the renewable energy market.

Key Responsibilities:

  • Develop, implement, and maintain quantitative models for pricing, trading, and risk management in the renewable energy commodities market.
  • Analyze large datasets to identify market trends, trading opportunities, and risk factors.
  • Collaborate closely with traders, risk managers, and other stakeholders to provide quantitative insights and support decision-making processes.
  • Conduct backtesting and performance analysis of trading strategies to ensure their effectiveness and robustness.
  • Continuously monitor and improve existing models and algorithms to enhance their accuracy and performance.
  • Stay updated with the latest developments and trends in the energy markets and quantitative finance.

Qualifications:

  • A minimum of 5 years of experience as a Quantitative Analyst in the commodities/energy sector.
  • Strong knowledge of renewable energy markets and trading practices.
  • Proficiency in quantitative modeling, statistical analysis, and data analysis techniques.
  • Experience with programming languages such as Python, R, or MATLAB, and familiarity with relevant data analysis libraries.
  • Excellent problem-solving skills and the ability to work with large datasets and complex algorithms.
  • Strong communication skills and the ability to collaborate effectively with cross-functional teams.
  • A degree in a quantitative field such as Mathematics, Statistics, Engineering, or Finance. Advanced degrees (Master's or Ph.D.) are preferred but not required.

Preferred Skills:

  • Experience with machine learning and artificial intelligence applications in trading and risk management.
  • Knowledge of financial instruments and derivatives used in the energy markets.
  • Familiarity with trading platforms and risk management systems used in the energy sector.

What Our Client Offers:

  • A dynamic and innovative work environment focused on sustainability and renewable energy.
  • Opportunities for professional growth and development within a leading firm in the energy trading market.
  • Competitive compensation and benefits package.
  • The chance to work on-site in Amsterdam, a vibrant and multicultural city known for its quality of life and work-life balance.
job_description_image
Job ID  PR/500682
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