- 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.
- 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
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Data Analyst - Singapore - GMP TECHNOLOGIES (S) PTE LTD
Description
Roles & ResponsibilitiesResponsibilities:
Requirements:
To apply, please visit and search for Job Reference: 24307
To learn more about this opportunity, please contact Yingying at
We regret that only shortlisted candidates will be notified.
GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239
Tell employers what skills you haveSnowflake Cloud Data Warehouse
Deep learning
TensorFlow
Machine Learning
Bloomberg
Data Wrangling
Pandas
oil and gas
ETL
VBA
Trading Systems
PowerBI
PyTorch
SQL
Python
MSSQL Server
Data Science
Data Analytics
Trading
Data Visualization