Job DescriptionJob Overview:Requirement/Must Have:

Strong expertise in Core Java development, with a proven track record of building production-grade backend systems.
Experience designing and building large-scale distributed systems.
Solid understanding of data structures, algorithms, and software design patterns.
Strong working knowledge of Linux/Unix environments and scripting.
Experience with relational and/or document-oriented databases.
Ability to translate business and analytical requirements into efficient technical solutions.
Typically 5+ years of relevant experience building large-scale, production-grade systems, with demonstrated expertise in Java-based backend development and distributed system design.
Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

Hands-on core Java development with responsibilities for the design, implementation, and support of key components of the Market Risk platform.
Implement scalable, high-performance computing solutions for market risk calculations and analytics capabilities.
Leverage AI tools to support agentic and analytical workflows while maintaining rigorous standards for solution quality, accuracy, and correctness.
Collaborate with cross-functional teams and global counterparts to deliver high-quality solutions.
Work in an Agile development environment, ensuring timely and efficient product delivery.
Provide technical leadership and mentorship to junior developers within the squad.
Align technology solutions with business goals and regulatory requirements.
Guide junior staff, influence technical direction, and manage multiple initiatives in parallel.

Experience with Agentic AI development tools such as GitHub Copilot and Claude Code.
Experience using Python and Unix in production environments.
Experience with cloud platforms such as Azure, AWS, GCP, or other major cloud providers.
Exposure to big data technologies such as Apache Spark and Snowflake.
Experience with Infrastructure as Code (IaC) tools such as Terraform and CloudFormation.
Knowledge of containerized deployments and cloud-native architectures.
Familiarity with Agile software development methodologies and DevOps best practices.
Background in financial services, particularly within Market Risk or FinTech.

Job DescriptionJob Overview:Requirement/Must Have:

Strong expertise in Core Java development, with a proven track record of building production-grade backend systems.
Experience designing and building large-scale distributed systems.
Solid understanding of data structures, algorithms, and software design patterns.
Strong working knowledge of Linux/Unix environments and scripting.
Experience with relational and/or document-oriented databases.
Ability to translate business and analytical requirements into efficient technical solutions.
Typically 5+ years of relevant experience building large-scale, production-grade systems, with demonstrated expertise in Java-based backend development and distributed system design.
Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

Hands-on core Java development with responsibilities for the design, implementation, and support of key components of the Market Risk platform.
Implement scalable, high-performance computing solutions for market risk calculations and analytics capabilities.
Leverage AI tools to support agentic and analytical workflows while maintaining rigorous standards for solution quality, accuracy, and correctness.
Collaborate with cross-functional teams and global counterparts to deliver high-quality solutions.
Work in an Agile development environment, ensuring timely and efficient product delivery.
Provide technical leadership and mentorship to junior developers within the squad.
Align technology solutions with business goals and regulatory requirements.
Guide junior staff, influence technical direction, and manage multiple initiatives in parallel.

Experience with Agentic AI development tools such as GitHub Copilot and Claude Code.
Experience using Python and Unix in production environments.
Experience with cloud platforms such as Azure, AWS, GCP, or other major cloud providers.
Exposure to big data technologies such as Apache Spark and Snowflake.
Experience with Infrastructure as Code (IaC) tools such as Terraform and CloudFormation.
Knowledge of containerized deployments and cloud-native architectures.
Familiarity with Agile software development methodologies and DevOps best practices.
Background in financial services, particularly within Market Risk or FinTech.

Java Developer - Risk Tech

Skills