Seeking a senior Pyspark Developer with expertise in big data processing , Python and Apache spark particularly within finance domain. Candidate should have a strong experience working with financial instruments, market risk and large scale distributed computing systems.
This role involves developing and optimizing data pipelines for risk calculations, trade analytics and regulatory reporting .
Key responsibilities
- Develop and optimize scalable PySpark-based data pipelines for processing and analyzing large scale financial data
- Design and implement distributed computing solutions for risk modeling , pricing and regulatory compliance
- Ensure efficient data storage and retrieval using Big Data
- Implement best practices for spark performance tuning including partition, caching and memory management
- Maintain high code quality through testing , CI/CD pipelines and version control (Git, Jenkins)
- Work on batch processing frameworks for Market risk analytics
Qualifications and Skills
- Strong experience in software development with experience in PySpark and Big data frameworks
- Strong proficiency in Python and Pyspark with knowledge of core spark concepts (RDDs, Dataframes, Spark Streaming, etc)
- Experience working in financial markets , risk management and financial instruments
- Familiarity with market risk concepts including VaR, Greeks, scenario analysis and stress testing
- Hands on experience with Hadoop, Spark
- Proficiency on Git, Jenkins and CI/CD pipelines
- Excellent problem solving skills and strong mathematical and analytical mindset
- Ability to work in a fast paced financial environment
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Job Family Group:
Technology
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Job Family:
Applications Development
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Time Type:
Full time
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