Software Engineer – Data Team

SOFTWARE ENGINEER, DATA TEAM

Help build technical infrastructure to drive data imports from third party vendors into multinational organization’s proprietary IT systems, including providing both traditional and alternative data sets to company’s staff members as well as working closely with front office traders, quantitative analysts and other investment professionals to improve company’s software development functions, such as data ingestion and IT-engineering analysis. Design, develop, and deploy Model Context Protocol (MCP) servers to connect Large Language Model (LLM) clients to internal organization tools and systems, including proprietary databases, Jira, Bloomberg, Confluence, and internal analytics servers, by independently exploring technical approaches, proposing end-to-end solutions, and implementing secure interfaces and workflows to enable automated tool execution, data retrieval, and enhanced productivity for internal technical and front office stakeholders. Maintain and enhance company’s platform and infrastructure by utilizing knowledge of Microsoft SQL Server and Python, including building visualization tools, analytical tests, and mathematical algorithms to show an overview of all the software and IT-backed systems owned by company’s Data Team. Assist IT-based technical teams in building systems to interface with third-party API’s asynchronously to facilitate data fetches. Integrate financial and alternative datasets for research and trading using Python, agile development methodologies and Object-Oriented Design (OOD) and development techniques to ensure the quality of pricing and reference data through the creation of manual and automated data integrity processes. Partner with front office analysts and quantitative analysts on both discretionary and systematic businesses, providing new software engineering ideas and enhancements to automate internal organization systems and data collection processes using SQL and No-SQL databases, as well as software tools/frameworks such as Hadoop, Spark, Redis, etc. Develop tools to enhance and streamline data used in client portfolio reviews by utilizing knowledge of User Interface (UI) development while concurrently on-boarding multiple datasets from different vendors and technical sources, including cleaning vendor data and normalizing same into organization’s software, IT systems, and databases. Perform troubleshooting or code inspection actions on internal systems for use by company traders, as well as providing adequate data search options for internal analysis tools.

Requirements: Master’s degree in Computer Science, Data Science or Software Engineering and three (3) years of experience in job offered or three (3) years of data validation and analysis experience in a Python infrastructure environment

Location: New York, NY

Employer: HBK New York LLC

Salary: $165,000 per year - $190,000 per year

Interested Parties should mail resumes to Keila Selders at:

HBK New York LLC

c/o HBK Capital Management

2300 N. Field Street, Suite 2200

Dallas, TX 75201