Global Markets Python Developer

$135,200 - $166,400/Yr

The Matlen Silver Group - Chicago, IL

Full-time - Mid Level

Onsite - Chicago, IL

Professional, Scientific, and Technical Services

About the position

The Global Markets Python Developer role is a contract position focused on developing and maintaining applications within the Global Markets and Banking sectors. The developer will work closely with finance teams, assist in trading and reporting, and ensure that applications meet business requirements. The position requires strong technical skills in Python and experience in financial technologies, particularly in data warehousing and ETL processes.

Responsibilities

• Develop, enhance, modify, and maintain applications for Global Markets and Banking.
• Assist Desk/Finance with trading and front office reporting on a daily basis.
• Capture requirements in Jira and ensure they are developed and delivered according to agreed goals with users.
• Perform detailed data analysis to proactively identify and resolve issues to comply with rules and regulations.
• Coordinate work across various applications, operations, or projects to maintain or deliver required business objectives.
• Participate in the design, development, reviews, and implementation of data warehousing technologies.
• Provide technology recommendations for designing, implementing, modifying, or converting software application systems.
• Serve as a subject matter expert for various data warehousing and ETL technologies.
• Implement projects and solutions as outlined in the requirements, design, and project charter.
• Provide leadership on projects and guide team members in achieving results.

Requirements

• BS in Computer Science or equivalent degree.
• 8+ years of professional experience, preferably with banking experience.
• Proficient in Python and Java, with knowledge of OOP concepts and design patterns.
• Financial knowledge in derivatives is a plus.
• Good written and verbal communication skills, leadership skills, and a positive attitude.

Nice-to-haves

• Experience with big data technologies like Hadoop, Spark, Kafka, and AMPS.