Description

Key Responsibilities

•             Design, implement, and support key components of the Market Risk     platform using Core Java.

•             Build scalable, high-performance computing solutions for market risk calculations and analysis.

•             Use AI tools to support agentic and analytical workflows while maintaining rigorous standards for quality, accuracy, and correctness.

•             Collaborate with cross-functional teams and global counterparts to deliver high-quality solutions.

•             Work in an Agile development environment to support timely and efficient product delivery.

•             Provide technical leadership and mentorship to junior developers in the squad.

•             Help evolve or build risk management tools, frameworks, and processes in response to changing business and regulatory requirements.

Required Qualifications and Experience

•             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. Deep Market Risk domain expertise is not required upfront and can be developed through close partnership with Risk and Analytics teams.

•             Ability to guide junior staff, influence technical direction, and manage multiple initiatives in parallel.

•             Typically 5+ years of relevant experience building large-scale, production-grade systems, with demonstrated depth in Java-based backend development and distributed system design.

•             Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent experience.

Soft Skills

•             Strong problem-solving and analytical thinking.

•             Self-starter with the ability to take initiative and drive projects independently.

•             Ability to align technology with business goals and regulatory needs.

•             Excellent verbal and written communication skills.

Preferred Qualifications

•             Experience with agentic AI development and tools such as GitHub Copilot and Claude Code.

•             Experience using Python and Unix in production environments.

•             Experience with cloud platforms such as Azure, AWS, or GCP.

•             Exposure to big data technologies such as Apache Spark and Snowflake.

•             Experience with infrastructure as code tools such as Terraform and CloudFormation.

•             Knowledge of containerized deployments and cloud-native architecture.

•             Familiarity with Agile software development and DevOps best practices.

•             Background in financial services, particularly Market Risk or FinTech

Key Skills

Education

Bachelor's degree