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The Opportunity: Shape the Future of Financial Risk Analysis. Join our team at the forefront of financial technology, where we build and maintain the critical platform for Prime Services Risk and Business Intelligence. Our systems are the analytical engine that empowers the firm to manage risk, serve our clients, and make data-driven decisions in a complex, fast-paced market. We are a global team of innovators and problem-solvers who design and operate sophisticated, computing-intensive solutions to analyze the risk profiles of our clients. We are looking for a passionate and experienced Lead Java Engineer to not only contribute to our codebase but also to drive technical direction, mentor our team, and own the delivery of robust, scalable solutions.
Job Responsibility:
Design, develop, and own end-to-end software solutions using Java and the Spring ecosystem
Act as a technical leader within the team
Engineer high-throughput, low-latency systems
Harness the power of our message-driven architecture using Kafka
Contribute to and enhance our CI/CD pipelines
Integrate with a wide array of upstream data sources and downstream consumers
Take ownership of the full application lifecycle, including providing critical application support
Requirements:
8+ years of professional experience designing, building, and deploying enterprise-scale, distributed backend systems
Deep, hands-on knowledge of modern Java (11+) and the Spring ecosystem (Spring Boot, Spring Security, etc.)
Strong command of SQL and experience with relational databases, particularly Microsoft SQL Server
Proven experience working in message-driven architectures with technologies like Kafka, RabbitMQ, or similar
A demonstrated track record of leading technical initiatives, making architectural decisions, and mentoring other engineers
Solid experience with CI/CD principles and tools (e.g., Jenkins, Tekton), and version control with Git
Experience with containerization and orchestration (Docker, Kubernetes, OpenShift) is essential
Excellent verbal and written communication skills
Nice to have:
Experience or a strong interest in the Finance Sector, especially concepts related to Prime Finance, Counterparty Risk, or Market Risk
An advanced degree (M.S. or Ph.D.) in Computer Science, Engineering, Mathematics, or a related quantitative field
Hands-on experience with OLAP datastores like Apache Pinot
Proficiency in Unix/Linux environments and shell scripting
Experience working in a fast-paced, Agile/Scrum environment
What we offer:
Employer paid Defined Contribution Pension Plan contribution of 6% of employee’s pensionable earnings (PPE Program)
Employer paid Private Medical Care Package for employees and Private Medical Care Packages for certain family members available at preferential rates
Employer paid Life Insurance Program for employees and Life Insurance for certain family members available at preferential rates
Employee Assistance Program financed by Employer
Paid Parental Leave Program (maternity and paternity leave
statutory and 2 weeks additional paid paternity leave)
Sport Card for employees subsidized via Social Benefits Fund and Sport Cards for certain family members available at preferential rates
Additional benefits from Company’s Social Benefit Fund, in particular: Holidays Allowance, support for sport and cultural activities, team building events
Additional day off for volunteering
Cafeteria/ flex benefit – a company benefits system which enables employees to select and purchase benefits offered by a provider
Opportunity to receive an annual discretionary incentive award