Senior Java/Spark Developer sought by leading investment bank based in London.

**Inside IR35 - 3 days a week onsite**

Job Description
Seeking a Java Spark Developer with expertise in big data processing, Core Java 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 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 distributed computing solutions for risk modeling and regulatory compliance.
  • Maintain high code quality through testing, CI/CD pipelines and version control (Git, Jenkins).
  • Work on batch processing frameworks for Market risk analytics.

Qualification Skills:

  • 7 years + of experience in software development with at least 3 years of experience in Java Spark and Big data frameworks.
  • 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 mathematical and analytical mindset. Ability to work in a fast-paced financial environment.

Please apply within for further details or call on 07393149627

Alex Reeder

Harvey Nash Finance & Banking

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