Develop and maintain a unified Financial Intelligence platform integrating KYC, AML, sanctions, and fraud monitoring capabilities.
Leverage FISs extensive data assets to provide comprehensive risk monitoring and compliance solutions.
Design and implement scalable microservices and distributed systems.
Develop program logic for new applications or analyze and modify logic in existing applications.
Code, test, debug, document, implement, and maintain software applications.
Maintain, test, and integrate application components with other related software applications.
Independently design solutions and work backwards from customer requirements.
Drive operational excellence and engineering excellence.
Tackle complex problem statements in the financial intelligence domain, such as real-time fraud detection, predictive analytics for financial trends, and scalable transaction processing systems.
What You Bring:
Strong product development experience.
Hands-on experience in Windows batch and UNIX shell scripting.
Proficiency with Bitbucket, UNIX/Linux environments.
Experience with Jenkins and Harness.
Strong computer science fundamentals, including algorithms and data structures.
Strong coding skills and ability to write best-in-class code.
Ability to work independently and design robust solutions.
Educational Qualification:
Bachelor s Degree in Computer Science, Engineering, or a related field; or equivalent education/experience in a computer science field.
Added Bonus if You Have:
Knowledge of financial products and services.
Experience in the banking or financial services industry.
Proficiency in C++ (desirable but not mandatory).
What We Offer You:
A range of benefits designed to help support your lifestyle and wellbeing.
A multi-faceted job with a broad spectrum of responsibilities.
A modern international work environment and a dedicated and innovative team.
A broad range of professional education and personal development possibilities - this could be your final career step.
Opportunities to work on cutting-edge technologies and solve some of the most challenging problems in the financial intelligence space