
Data Scientist (VOLSY)
NEW YORK, NY · HybridJob$180–200K/yrSeen 5 days agoSeen in employer's feed 5 days ago
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Job overview
Locally Compact, Inc. seeks a Data Scientist to ensure data correctness and monitor data health across data stores and live feeds. The role analyzes research and production trading systems, applies financial expertise and statistical analysis to generate actionable insights, and builds pipelines to automate valuable analyses. Telecommuting is permitted up to two days per week.
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Full job description
Locally Compact, Inc. has the following position available in New York, NY: Data Scientist (VOL-SY): Design and implement systems to ensure data correctness and monitor data health in data stores and live feeds. Proactively identify abnormal production behavior and communicate them clearly to relevant stakeholders. Perform extemporaneous analyses on research and production trading systems with leadership. Harness financial expertise and statistical analysis to gain actionable insights into production trading and research systems. Design and implement analysis pipelines that automate those analyses found to be valuable for ongoing monitoring. Telecommuting permitted up to two (2) days per week.Minimum Requirements: Master of Science or foreign degree equivalent in Computational Finance, Accounting, Statistics, Mathematics, or related field, plus one (1) year of experience in job offered, as a Financial/Market Data Analyst, or related occupation. Special Requirements: The following skills must have been gained through one (1) year of experience: 1. Experience working with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization. 2. Experience reading, writing, and debugging production-level code in Python and R. 3. Experience with standard software development tools and workflows, including version control (e.g., Git), Unix/Linux command line (e.g., Bash), and development environments (e.g., IDEs, CI pipelines). 4. Experience with fixed income markets, including experience with instruments such as corporate bonds, U.S. Treasuries, and credit indices. 5. Experience applying machine learning methods to financial modeling problems, e.g. price modeling, return prediction, or risk modeling. 6. Experience with large-scale production datasets, including data validation, quality checks, summarization, and clear presentation of analytical findings. Submit resume to: [email protected]. Must reference job title and job code. Annual salary range: $180,000.00 - $200,000.00 per year.
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