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.
KMS Consulting Services, a business and technology consulting firm, is committed to providing high quality, cost-effective consulting services to businesses in a wide range of industries. Founded in 1994, KMS specializes in the planning, design, implementation, training and support of collaboration, social, and communications tools, focusing on process efficiencies and business solutions.