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Senior Java/Spark Developer - Distributed Systems

Harvey Nash
Posted 21 days ago, valid for a month
Location

London, Greater London EC1R 0WX

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • A Senior Java/Spark Developer is needed by a leading investment bank in London, requiring 7+ years of software development experience with at least 3 years in Java Spark and Big Data frameworks.
  • The role focuses on developing and optimizing data pipelines for risk calculations, trade analytics, and regulatory reporting within the finance domain.
  • Candidates should have strong proficiency in Python and Java Spark, along with experience in financial markets, risk management, and familiarity with market risk concepts.
  • Key responsibilities include implementing distributed computing solutions, ensuring efficient data storage, and maintaining high code quality through testing and CI/CD pipelines.
  • This position is inside IR35, with a salary of £600 - £700 per day, and requires 3 days a week onsite.

Senior Java/Spark Developer sought by leading investment bank based in London.**Inside IR35 - 3 days a week onsite""Job DescriptionSeeking 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 Alex ReederHarvey Nash Finance & Banking

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.