This role involves working with a major global financial organization that specializes in advanced predictive research and investment strategies. The organization develops proprietary tools to identify market inefficiencies, enabling robust financial methodologies. The position focuses on ensuring smooth system operations and user support in a fast-paced environment. A key responsibility includes analyzing and interpreting code to resolve technical challenges effectively.
Requirements
Key skills and experience required for this role include
Strong Python programming abilities, including experience with libraries such as NumPy, Pandas, and Celery for data tasks and workflow automation.
Proficiency in relational databases, particularly MySQL, is also essential.
Familiarity with Unix/Linux platforms and the ability to diagnose and improve system performance is critical.
The ideal candidate is detail-oriented, skilled at identifying root causes and implementing effective solutions, and has a proactive approach to automation and efficiency improvements.
Candidates should have at least five years of experience in technical support or systems engineering roles, strong communication skills, and the ability to work in a high-energy, dynamic environment.
Experience with monitoring systems and performance tracking tools is a plus.
Responsibilities
Responsibilities include
Serving as the primary point of contact for system-related issues, investigating and resolving technical problems, and coordinating with engineering teams.
The role also involves developing scripts or applications to automate recurring tasks, building solutions to improve workflows and system monitoring, and continuously analyzing system efficiency to recommend improvements.
Collaboration with developers, engineers, and product teams is essential, along with sharing insights to drive ongoing improvements.
What we offer
The position offers competitive compensation based on experience and skills, comprehensive benefits, professional development opportunities, mentorship programs, flexible working hours, and a supportive work environment. Generous leave policies are included, as well as additional perks like training resources, and access to language learning tools.