Leveraging data to extract valuable insights, optimize processes, and support decision-making within the context of commodities trading and management. Here are the key responsibilities and tasks that the role encompasses:
Data Collection and Processing:
- Collect and consolidate data from various sources, including market data feeds, internal databases, and external data providers.
- Clean, preprocess, and organize large datasets to ensure data accuracy and reliability.
Data Analysis and Interpretation:
- Utilize statistical methods, mathematical models, and data analysis techniques to identify patterns, trends, and anomalies in commodity market data.
- Analyze historical and real-time market data to provide insights into market movements, pricing trends, and risk factors.
Market Research and Forecasting:
- Conduct market research to stay informed about global economic trends, geopolitical events, and other factors influencing commodity prices.
- Develop and implement forecasting models to predict future market movements and commodity price trends.
Risk Management:
- Assist in the development and maintenance of risk models to assess and manage the potential risks associated with commodity trading activities.
- Work with risk management teams to identify and mitigate risks related to market volatility and price fluctuations.
Reporting and Visualization:
- Create reports, dashboards, and visualizations to communicate key insights to stakeholders, including traders, senior management, and other decision-makers.
- Present findings in a clear and understandable manner to support strategic decision-making.
Database Management:
- Manage and maintain databases that store historical and current market data, trade information, and other relevant data sets.
- Ensure data integrity, security, and accessibility for analytical purposes.
Collaboration with Cross-Functional Teams:
- Collaborate with traders, risk analysts, finance professionals, and other cross-functional teams to align data analysis efforts with business objectives.
- Provide data-driven recommendations to support commodity trading strategies and decision-making.
Continuous Learning:
- Stay updated on industry trends, market dynamics, and emerging technologies in data analytics to enhance analytical capabilities.
Requirements:
- Bachelor's degree in a related field such as mathematics, statistics, computer science, economics, or information management.
- Strong analytical skills for interpreting complex data sets, identifying trends, patterns, and insights.
- Proficiency in programming languages such as Python, R, SQL, or others.
- Experience with data visualization tools like Tableau, Power BI, or Matplotlib.
- Knowledge of statistical analysis techniques and tools.
- Familiarity with database systems and data querying languages (MS SQL).
- Understanding of mathematical concepts, including probability, calculus, algebra, and statistics.
- Logical approach to problem-solving and ability to develop creative solutions based on data analysis.
- Ability to gather actionable requirements from various offices (Front/Middle/Back).
- Strong attention to detail to ensure accuracy in analysis and reporting.
- Effective written and verbal communication skills for presenting findings and insights to stakeholders.
Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at [email protected] with your updated CV.
Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.
Morgan McKinley Pte Ltd
EA Licence No: 11C5502 | EAP Registration No: R2095054
