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Quantitative Analyst Internship
Rwe
Develop and apply quantitative models for energy trading using Python, ML, and statistics.
9d ago
Entry-level
Internship
Melbourne, VIC, AU, 3000
Office Full-Time
Company Size
19,000 Employees
Service Specialisms
Renewable Energy
Energy Supply
Energy Storage
Grid Services
Engineering
Project Management
Consulting
Operations & Maintenance
Sector Specialisms
Energy
Renewable Energy
Solar
Wind
Hydro
Biomass
Gas
Lignite
Role
What you would be doing
ai modelling
market analysis
forecasting
trading models
tool integration
risk management
- Practical AI & Data Science Application: Leverage AI modelling and statistical techniques to develop bespoke solutions for the Australian energy market.
- Explore factors influencing energy markets, such as global commodity prices, government policies, and industry targets.
- Conduct in-depth analysis of key Australian energy markets, including electricity price data, FCAS price data, asset generation data, and LGC price data.
- Leverage RWEST AU’s access to relevant market intelligence and corporate resources to anticipate fluctuations.
- Implement risk mitigation strategies and capitalise on emerging opportunities.
- End-of-Internship Presentation: Showcase your work to RWEST AU leadership and international teams, providing exposure and recognition for your contributions.
- Collaborate with analysts, traders, and technologists to transform quantitative models into actionable trading strategies.
- Apply statistics and mathematical creativity to high-impact trading projects over the 6-month program.
- Forecasting tools to assess financial performance and anticipate revenue streams.
- Engage in an industry-leading training program covering mathematical modelling and algorithm development to lay the groundwork for a successful career in quantitative analysis.
- Identify market trends, correlations, and trading opportunities using statistical and machine learning models.
- Develop robust forecasting and trading models to enhance decision-making.
- Community-building activities, including networking and exploring the city with fellow interns.
- Development of essential trading tools and models, including:
- Integration of developed tools and models into existing platforms, such as Python, Tableau, and Excel, ensuring accessibility and usability across the organisation.
What you bring
python
machine learning
back-testing
phd
nem
financial modelling
- Proficiency in developing data-driven algorithms and implementing mathematical models in Python.
- Understanding of financial modelling and project evaluation.
- Excellent analytical abilities with strong attention to details.
- Pursuing a Master’s or PhD in Computer Science, Applied Maths, IT, Econometrics, Statistics, or a related field.
- Hands-on experience applying machine learning and deep learning techniques for time-series forecasting.
- Flexibility in tool functionality, allowing for both stand-alone usage and integration into existing trading systems.
- Back-testing frameworks to refine trading strategies.
- Strong communication skills to effectively convey insights and collaborate within a team.
- Knowledge of Australia’s National Electricity Market (NEM).
- Strong foundation in applied mathematics and statistics, with expertise in areas like optimisation, machine learning, time-series analysis, and pattern recognition.
- Experience working with large and complex datasets, extracting insights and translating them into actionable solutions.
- Industry-Specific Skill Development: Gain deep insights into the energy and commodities trading sector, enhancing your technical expertise.
- Hands-On Training: Work alongside seasoned traders, researchers, and technologists, applying your skills in a real-world setting.
- Cross-Cultural Exposure: Engage with global RWEST teams, improving international collaboration and communication skills.
- Mentorship opportunities to discuss professional development goals and challenges.
- Hands-on projects guided by experienced analysts, offering real-world exposure.
- Strong Career Pathways: Gain valuable insights and practical experience that can pave the way for a future career in quantitative trading or financial markets.
- Access to a global team, fostering cross-cultural collaboration and industry insights.
Information not given or found
Interview process
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Visa SponsorshipInformation not given or found
Security clearanceInformation not given or found
Company
Overview
- The company has been at the forefront of energy innovation for over a century, with deep roots in the energy sector.
- Over time, it has transformed its energy portfolio, transitioning from fossil fuels to renewable energy sources.
- Today, it is a global leader in renewable energy, driving advancements in wind, solar, and hydroelectric power.
- The company operates across various energy sectors, including large-scale wind farms, solar installations, and energy storage solutions.
- Notable projects include offshore wind farms, green hydrogen development, and cutting-edge solar plants.
- Its international presence spans across Europe, North America, and Asia, with an eye on global energy transition.
- A unique aspect of its strategy is its strong focus on innovation, particularly in energy storage and smart grid technology.
- It consistently leads in its commitment to creating a sustainable and carbon-neutral energy future.
- We take responsibility for the future.
- We value innovation and efficiency.
- We work together as one team.
- We are committed to sustainability.
- We embrace diversity of thought and experience.
2040 Target
Carbon-Neutral Ambition
Aiming to achieve carbon neutrality in operations by a specific future year.
50% Reduction
CO2 Emissions Target
Aiming to cut greenhouse gas emissions by half by a specific future year.
€50B Investment
Renewable Energy Commitment
A significant financial pledge to fund renewable energy initiatives.
- The company has increased its renewable energy capacity by more than 50% in the last 5 years.
- RWE is investing in renewable energy projects with a focus on wind and solar power.
30% women
Leadership Diversity
The company aims to achieve a significant representation of women in senior roles.
- They have introduced various initiatives to ensure equal pay for equal work.
- They focus on fostering a culture of inclusion through employee networks and training programs.
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