WSN is looking for a Production Support Consultant for one of the leading global hedge fund.
This is a remote opportunity for those who are located in Australia.
The ideal candidate will have a strong background in application support, particularly within front-office environments, and proficient programming skills in Python.
This role will involve collaborating with various teams to ensure the stability and performance of our applications while providing L2/L3 technical support to end-users.
This position requires a hands-on approach to triaging production issues, diving deep into data problems, and refining/optimizing data pipelines.
This is a production support / DevOps role which will involve active collaboration with our investment teams, data engineers and data vendors.
Once fully up to speed will going forward take on more modernization and refactoring responsibilities.Key Responsibilities:Provide application support for front-office trading systems, ensuring high availability and performance.Troubleshoot and resolve technical issues related to applications, leveraging Python for scripting and automation.Collaborate with the data engineering team to streamline and optimize data pipelines, ensuring efficient data flow and quality across the organization.Monitor application performance and conduct regular maintenance to optimize system reliability.Configure and optimize production vendor data sourcing jobs, ensuring they run reliably and efficiently, and address any scheduling conflicts or failures promptly.Provide timely support to investment researchers for data-related queries and challenges.Engage closely with internal teams on system upgrades, data implementations, and incident post-mortems to prevent future issues.Develop and maintain operational documentation and knowledge base articles.Communicate effectively with stakeholders to understand their needs and provide timely updates on issue resolution.Qualifications:A degree in Computer Science, Data Science, Information Systems, or a related field, or equivalent experience.5+ years of experience on fast trajectory in the financial services sector.Must have experience from either Investment Bank front office, Brokers or Hedge funds.Strong proficiency in Python, with experience in scripting and automation.Familiarity with front-office trading applications and financial market operations.Knowledge of Corporate Actions and Financial products e.g.
(ETF, equities, indexes) Listed productsPractical experience in SQL querying, with the ability to efficiently diagnose and rectify data anomalies.Finance/market data experience: familiarity with vendors such as Bloomberg, Refinitiv, Nasdaq and others is a must.Familiarity with enterprise technology tools: Linux, SQL Server, GIT.Excellent problem-solving skills and the ability to work under pressure.Strong communication skills, with the ability to convey technical information to non-technical stakeholders.Preferred Skills:Hands-on knowledge of Tidal Enterprise Scheduler, including configuring, optimizing, and troubleshooting.Experience in Python-based data engineering, particularly in optimizing data pipelines and integrations.Understanding of cloud fundamentals and best practices in cloud storage, permissioning and cost management.