Careers at Millennium

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various IT platforms in coordination with external vendors and internal stakeholders Execution and/or oversight of scheduled changes within the firm's data centers and office spaces, in a timely manner without undue risk to the firm Project management in remote DCs leveraging local site resources, while remaining accountable for the work performed Regular and clear communication with managers, peers, and team members throughout the organization Identification of gaps in Data Center operational documentation and initiative to create documentation for use by the global Data Center team 5+ years of experience in Infrastructure Technology Experience with rack integration of servers, storage equipment, network switches, and other appliances Thorough understanding of DC connectivity, including cabling, optics, & carrier services Knowledge of rack PDU monitoring, management, and critical thresholds Experience with DCIM Thorough understanding of hot and cold aisle dynamics, and IT equipment 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Understanding of typical software development lifecycle and familiarity with: Linux, Github, CI/CD A degree in quantitative finance, computer science, math or equivalent experience 3+ years of work experience as a financial engineer, data scientist, or quant developer Understanding of risk models and performance attribution Experience with financial markets such as equities, futures Knowledge of statistical techniques and their usage", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": null, "canonicalPositionUrl": "https://mlp.eightfold.ai/careers/job/755933305741", "isPrivate": false, "latlongs": "25.7616798,-80.1917902"}, {"id": 755933282539, "name": "Software Engineer - Quant Team", "location": "Miami, Florida, United States of America", "locations": ["Miami, Florida, United States of America"], "hot": 0, "department": "Information Technology", "business_unit": "Unknown", "t_update": 1701416699, "t_create": 1699574400, "ats_job_id": "REQ-19558", "display_job_id": "REQ-19558", "type": "ATS", "id_locale": "REQ-19558-en", "job_description": "Take part in the development and enhancement of the back-end distributed system, providing continuous and uninterrupted Risk and Profit & Loss information to Portfolio Managers and Risk Officers. Work closely with Quant researchers and developers, tech teams, middle office and trading global teams Build micro services on top of our new analytics library and integrate it into the existing system, using the latest technologies 5+ years of professional experience experience developing in Python or Java (will accept Kotlin experience for Java applicants) Experience in Client-Server, Distributed computing and Microservices design patterns Experience developing and maintaining back-end distributed system. Good understanding of various Design Patterns, Algorithms & Data structures Experience working with Git / GitHub B.A. in computer science or another quantitative field Ability to communicate effectively with senior stakeholders across the organization Able to work independently in a fast-paced environment. Detail oriented, organized, demonstrating thoroughness and strong ownership of work Experience with Docker/Kubernetes Experience with NoSQL like MongoDB Experience with asynchronous programming in python and use of the asyncio library, Or Experience with Java concurrency constructs and writing multi-threaded code in java Experience with reactive and or functional programming Experience working in Linux environment Experience with Continuous Integration and Deployment (CI/CD) Experience developing in Java or C++ with good understanding of the Modern C++ standards Experience developing Cross Asset Pricing and Risk Systems Experience with financial mathematics and statistics. 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Ensure end-users are informed of issue status through resolution; escalate to the appropriate technology teams when necessary Minimum of five years of progressive technical support experience in a financial institution required Bachelor's degree strongly preferred Ability to direct activities of peers and others not reporting directly to the person Knowledge of Active Directory, Exchange, Citrix remote access and application delivery Linux desktop environment (centos) Comprehensive knowledge of Windows based desktops and the key applications - Outlook, MS Office, etc. Strong understanding of market data - Bloomberg, Thomson Reuters, etc. Proven expertise in integrating with Excel plug-ins, troubleshooting API broken links, effectively working with vendor technical support. Broad understanding of mobile technology Must demonstrate an ability and interest in having a hands-on approach to customer service. 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Gathering, analyzing, and documenting technical requirements. Identifying appropriate components to meet the requirements. Communicating how the components will meet the requirements. Coordinating component deployment across Infrastructure Technology teams. Providing timeline estimates for component deployments. Creating and maintaining prioritized books of work for customer teams. 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BS in Computer Science or related field, or equivalent experience Strong customer support skills, including VIP and C-Level Executive audiences. 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