Job Description

Grow your career as a Java Spark Developer with an innovative global bank in Jersey City, NJ. Contract role with strong possibility of extension. Will require working a hybrid schedule 2-3 days onsite per week.

Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.

Contract Duration: 12+ Months

Location: Jersey City, NJ, Irving, TX and Tampa, FL

Required Skills & Experience

• 7+ years of experience as a Java Developer
• 3+ years of Java Spark and Big Data Frameworks
• Java Spark Developer with expertise in big data processing, Core Java and Apache spark particularly within finance domain.
• Strong experience working with financial instruments, market risk and large-scale distributed computing systems.
• Strong proficiency in Python and Java Spark 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 d computing solutions for risk modeling and regulatory compliance.
• Experience maintaining high code quality through testing, CI/CD pipelines and version control (Git, Jenkins).
• Experience working on batch processing frameworks for Market risk analytics.

What You Will Be Doing

• Will develop and optimize data pipelines for risk calculations, trade analytics and regulatory reporting.
• Develop and optimize scalable Java Spark-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.
• Design and implement distribute
• Maintain high code quality through testing, CI/CD pipelines and version control (Git, Jenkins).
• Work on batch processing frameworks for Market risk analytics.

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