Firm Market Risk Technology – Lead Engineer (Vice President)

What You'll Do In The Role

• Remain deeply hands-on in core Java development while leading technical design and implementation of key components of the Market Risk platform.
• Communicate regularly with product leads across the technology organization and discuss opportunities for improvement to existing and future technology solutions.
• Implement scalable and high-performance computing solutions for computing market risk & providing analysis capabilities.
• Implement containerized deployment and integrating with modern data platforms such as Snowflake for cloud-based data processing.
• Collaborate with cross-functional teams and global counterparts to deliver high-quality solutions.
• Optimize risk data processing pipelines to improve efficiency and response time.
• Partner with Risk, Model Governance, and Compliance stakeholders to ensure regulatory requirements are accurately implemented in market risk technology.
• Work in an Agile development environment, ensuring timely and efficient product delivery.
• Provide technical leadership and mentorship to junior developers in the squad.

What You'll Bring To The Role

• Strong expertise in Core Java development, with a proven track record of building production-grade backend 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 on the job through close partnership with Risk and Analytics teams.
• Ability to guide junior staff, influence technical direction, and manage multiple initiatives in parallel.
• Typically, 8+ 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.

Preferred Qualifications

• Experience using Python in production environments.
• Experience with cloud platforms (e.g., Azure, AWS, or GCP).
• Exposure to big data technologies such as Apache Spark, Snowflake.
• Experience with infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation).
• Knowledge of containerized deployments and cloud-native architecture.
• Familiarity with Agile software development and DevOps best practices.
• Background in financial services, especially within Market Risk or FinTech.