Market Risk Data Analytics Senior Manager - SVP

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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