Senior Quantitative Data Engineer - 2-year fixed-term
Sydney Office, Australia
AUD 122K-127K (estimate) Senior-level Full Time Temporary
Tasks
- Collaborate with quantitative researchers to deliver data solutions
- Design data pipelines for financial market data
- Develop data models, schemas, and documentation
- Implement data validation, cleansing, and enrichment
- Ingest process and store market data
- Integrate data solutions into trading platforms and analytics tools
- Integrate market feeds trading systems and APIs
- Maintain data quality monitoring and alerting
- Optimize data storage and retrieval for real time analytics
- Perform exploratory data analysis on market data
Perks/Benefits
Skills/Tech-stack
AWS | Agile methodology | Algorithmic trading | Apache Spark | Azure | Data Cleansing | Data Quality | Data Validation | Data Visualization | Data quality monitoring | Distributed Computing | Equities | Financial market | Financial market microstructure | Futures | Git | Google Cloud | Machine Learning | Market Microstructure | Matplotlib | MySQL | NumPy | Order types | Pandas | Plotly | PostgreSQL | Power BI | Python | Quality monitoring | SQL | Scikit-learn | Seaborn | Tableau | TensorFlow | Time Series
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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