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Tier 1 Engineer Jobs in New York

Managing Director - Enterprise Technology - Tier 1 Systematic Fund
By Goldman Lloyds At New York City Metropolitan Area, United States
Manage vendor relationships, technology partnerships, and third-party service providers to optimize service levels and ensure alignment with the firm's requirements.
Strong commitment to maintaining the highest standards of security, compliance, and risk management.
Collaborate with quantitative researchers, traders, and portfolio managers to identify technology-driven solutions that enhance trading strategies and quantitative models.
Develop and manage the technology budget, allocating resources effectively to deliver strategic initiatives on time and within budget.
Represent the firm's technology capabilities to external stakeholders, industry partners, and clients, demonstrating the firms commitment to innovation and excellence.
Bachelor's or Master's degree in Computer Science, Engineering, Finance, or a related field; MBA or advanced degree is a plus.
Tier 1 Engineer Jobs
By GTT At Florida, United States
Ensure the Configuration Management System (CMS) is maintained/updated.
Identify need for Problem Management for reoccurring Incidents/Events.
Compliance with Service Operations processes (Event Management, Incident Management, Request Fulfilment, Change Management, and Problem Management) and associated metrics (SLAs/OLAs/KPIs/other metrics).
Provide feedback to appropriate Line Manager on how the Service Desk and supporting functions can improve.
Up to 12 x months experience in Customer Service/Contact Centre/Help Desk/Service Desk role (desirable).
Knowledge and understanding of TCP/IP protocol stack OSI layering (OSI model).
Data Analyst - Tier 1 Systematic Quant Fund
By Goldman Lloyds At New York, NY, United States
Experience with SQL and database technologies for efficient data retrieval and management.
Proven experience as a Data Analyst or similar role, preferably in the finance industry.
Collaborate with quantitative researchers and traders to understand their data requirements and develop appropriate data solutions.
Strong proficiency in Python programming, with experience in data manipulation, statistical analysis, and data visualization libraries (e.g., Pandas, NumPy, Matplotlib, seaborn).
Excellent analytical and problem-solving skills, with a keen attention to detail.
Strong communication and collaboration abilities to work effectively in a team-oriented environment.