Description

Lead the development of high-performance analytic software and cloud-based solutions for fraud and credit risk products.

This role is on-site.

Responsibilities

• Design and develop analytic software capabilities to enable efficient fraud and credit risk application development.
• Build and maintain a Domain-specific Language (DSL) for analytic model authoring, including grammar, parsers, and supporting tooling.
• Create software to support the integration and deployment of analytic products across enterprise and cloud platforms.
• Develop web-based services, applications, and documentation on AWS to improve operational efficiency.
• Mentor junior team members on software design, technical standards, and engineering best practices.

Required Skills

• Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• 5+ years of industry experience developing cloud-based enterprise software for predictive modeling and analytics.
• 3+ years of experience with two or more statically-typed JVM languages (Java, Scala, or Kotlin).
• 3+ years of experience developing a DSL, grammar, and parser using handwritten parsers, Cucumber, Antlr, Yacc, or Bison.
• 3+ years of experience with Bash and Python shell scripting.
• 3+ years of experience developing REST-based services using AWS (equivalent to AWS Certified Solutions Architect Associate or above).
• Experience with Git, Maven/Gradle, and CI technology such as Jenkins, Travis, CircleCI, Azure Pipelines, or AWS Code Build.
• Experience with containerization and deployment using Docker and Kubernetes.
• Experience following Agile development methodologies.

Key Skills

Education

Any Graduate