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We are seeking a Data Scientist who thrives in a dynamic trading environment and is eager to explore both fundamental and financial flows across commodity markets. The ideal candidate should be commercially driven and possess a deep intellectual curiosity. Strong communication skills, a team-oriented mindset, and an analytical approach are essential characteristics for this role. The ability to work independently, create original insights and connect analysis to trading are valued qualities we are seeking in our ideal candidate.
Our Team
At Koch Minerals & Trading, we hold integrity, teamwork, and value creation in high regard. We provide opportunities for growth and development, fostering a work environment that is fulfilling for our employees.
We actively seek out individuals who possess excellent communication skills, a passion for embracing change in an entrepreneurial setting, intellectual curiosity, internal motivation, and a drive to bring about change in a fast-paced organization while ensuring compliance.
What You Will Do
• Maintain and support the team’s data value chain across databasing, coding and visualization / deployment of knowledge systems on the relevant platforms
• Understand and model the incentives of financial participants within commodity markets, aiming to capture their actions through observational knowledge systems
• Develop and maintain global oil liquids balances, providing quantitative awareness as to how financial variables may impact the physical S&D
• Provide actionable trading insights through quantitatively testing ideas and mental models before systematizing interesting results
• Model commodity data for specific markets and produce ad hoc analysis based on short-term market developments
• Connect traders point of view and analysis and challenge either when there are discrepancies between the two
• Communicate with other internal Koch teams to constantly evaluate assumptions, ensure best practice across the data value chain is maintained on the Markers team
Who You Are (Basic Qualifications)
• Master’s degree or equivalent in a relevant quantitative discipline
• Expert quantitative programming skills in Python with strong understanding of software design best practices
• Fluency in data engineering skills such as ETL pipeline development (scraping, SQL/noSQL, data wrangling, APIs etc.)
• Strong data visualization with Python (Plotly), PowerBI and basic HTML5 competency
• Deep statistical knowledge with an understanding of analytical, time-series and machine-learning techniques
• A demonstrated commercial mindset with strong spatial awareness, an ability to connect the dots across both fundamental and financial variables
• Display intellectual curiosity and passion for both commodity and wider financial markets
What Will Put You Ahead
• Previous experience in a commodity trading environment
• Deep understanding of quantitative trading strategies and robust back testing techniques
• Experience with cloud platforms (AWS, Azure, Google Cloud)
At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.
Who We Are
As a Koch company, Koch Minerals & Trading (KM&T) specializes in the innovative procurement, exchange, and delivery of essential commodity products and services that empower our daily way of life. We pursue the development of investments into successful ventures and new, transformative platforms.
Our Benefits
Competitive Salary
Pension
Medical Insurance
25 days holiday
At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.
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