Leading German Energy company provides a reliable supply of both traditional - and renewable Energy.
Digital Energy Trading can't wait any longer, hence handle the Energy trading activities of the Group and act as the Group´s interface to the wholesale markets for Energy, Natural Gas and Emissions rights (EUA and CER).
Location:
The office is based in northern Germany. Working remotely is possible with a minimum of 2 days per week in the office.
Team Structure:
Current set up: 11 members, focusing separately on Power/ Gas/ P&G Long Term Trading, Short Term Trading, Modeling, Trading Systems and Algorithmic Trading.
Reporting line:
You will report to the Head of Risk – Energy Trading.
Reason for Vacancy:
Existing team member gets promoted to Front Office.
Challenges:
Responsible for designing, developing, enhancing, and maintaining the quantitative models and methods, more details as following:
- Key contact and responsible person for all model-related issues in Risk Management
- Collaborating closely with the Front Desks and the Analysis Team
- Responsible for the MTM evaluation and risk measures of energy-related products like storages, options, take-or-pay contracts, and other flexibilities, as well as renewable products like PPA(Power Purchase Agreement)s and GoOs
- Responsible for main risk KPIs for trades and portfolios
- Responsible for documentation and quality assurance
- Implement quant methods and models in our modern IT infrastructure, working closely with our DevOps Team
- Evaluate and develop new trading strategies and complex products and improve our trading system
- Enhancements and maintenance of report
- Support fellows within the risk management team and other departments (e.g., the trading desks, the credit risk management team, etc.)
Your profile:
- 1 - 4 years of professional experience in the Energy sector, preferably with a focus on Power/Energy Risk/Energy markets
- Junior level is possible, if your coding & mindset are at the right level. But they prefer a bit of experience, unless you are very enthusiastic and hungry to learn
- Degree in a highly quantitative subject (e.g., physics, mathematics, computer science, economics), or equivalent experience in the energy/ finance/ insurance sector
- Profound usage of different risk models and methodologies with strong programming skills, preferably in Python.
- You are eager to learn new skills and improve upon your existing proficiencies
- You are well experienced in applying and implementing mathematical and statistical methods
- Experience with reporting tools, preferably Microsoft Power BI
- Ideally, you are already an expert in the energy business
- Proficiency in ETRM systems, preferably Endur, is an advantage
- Excellent verbal and written communication skills in English, German is NOT A MUST, but basic skills are required... FLUENCY is a PLUS
- You are a reliable team player and can also work on your own
Your Benefits:
- Despite being a relatively large company, they are flexible and agile with a specific focus on geography
- Flat hierarchy and an open culture that encourages learning and personal development through mentoring, training courses, and one-on-one coaching sessions
- Engaged in the 3rd biggest renewable portfolio and help grow their onshore mandate.
- Engaged in PPAs (Power Purchase Agreement)
- Recently implemented state of the art IT trading platform
- Algorithmic Trading is a new area, allows you to bring different aspects and drive them forward. Room to make a footprint and an impact
- Deep insights about the energy industry, providing specialization steep learning curve, high growth path, coupled with monetary increase
- A competitive salary package with attractive benefits, such as company pension, health insurance, and above market rate bonus structure
- PnL explanation
- Review models in trading and risk
- Model-wise; look into what makes sense and what not, as well as the implication on the PnL
- Reporting and Model review
- Capable to build your own model
- Help build a model from scratch
Culture:
Consists of a flat hierarchical structure, multi-disciplinary teams, and a work environment that encourages transparent communication and entrepreneurial thinking, which makes it an attractive employer for ambitious talent.
Aim:
To attract motiva