Responsibilities:
- Perform data collection, cleaning, and analysis tasks to derive actionable insights from trading data, market trends, and other relevant sources.
- Utilize statistical methods and data visualization techniques to communicate findings effectively and support decision-making processes.
- To liaise with both internal IT teams to build/maintain custom applications for data retrieval, develop AI/ML modelling and reporting dashboards.
- Develop and maintain automated tools and scripts to streamline trade execution processes and improve operational effectiveness.
- Collaborate with traders and analysts to understand their needs and requirements, offering technical expertise and solutions to enhance trading efficiency.
- To assist in Commercial IT trading Energy Trading and Risk Management systems and other applications support.
- Ensuring all Information Security policies, procedures and standards are applied.
- May be required to attend meetings and work with global teams outside of working hours.
Requirements:
- Bachelor’s Degree in Computer Science, Mathematics, Statistics, Engineering or related quantitative disciplines.
- Possessing 3 to 5 years of hands-on experience in data science and machine learning.
- Experience in several of the following skill clusters:
- Strong programming skills in Python programming, VBA, .Net and other languages
- Proficiency in data analysis and visualization tools (e.g., pandas, PowerBI, Spotfire) and experience working with large datasets.
- Data retrieval – proficient with SQL, REST APIs
- Data wrangling and ETL – knowledge with pandas or similar; informatica or similar
- Classical machine learning – knowledge with scikit-learn or similar.
- Deep learning – knowledge with TensorFlow and/or PyTorch
- Databases – knowledge of connectivity to various data sources such as Snowflake, and SQL Sever
- Some hands-on experience of AWS, Azure, GCP or other public cloud environment
- Proven experience in supporting trade floor operations and familiarity with trading systems and technologies (e.g., Bloomberg, Reuters, FIX protocol).
- Prior experience in an Oil/Gas/LNG trading setting would be an advantage
- Strong problem-solving and quantitative computational ability, and strong written and oral communication skills
To apply, please visit www.gmprecruit.com and search for Job Reference: 24307
To learn more about this opportunity, please contact Yingying at [email protected]
We regret that only shortlisted candidates will be notified.
GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239
