Locally Compact, Inc. logo

Data Scientist (VOLSY)

Locally Compact, Inc.

NEW YORK, NY · HybridJob$180–200K/yrSeen 5 days agoSeen in employer's feed 5 days ago

Most applications go out cold — see where you stand first. No sign-up to start.

Watch jobs like this.

At a glance

Compensation
$180–200K/yr
Location
NEW YORK, NYHybrid
Work Authorization
Not specified • Visa sponsorship

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Master's degree

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.

Skills & qualifications

RequiredNice to have

Skills

Complex Dataset AnalysisData CurationData QueryingData AggregationExploratory Data AnalysisData VisualizationPythonRGitUnix/LinuxBashIntegrated Development EnvironmentsCI PipelinesFixed Income MarketsCorporate BondsU.S. TreasuriesCredit IndicesMachine LearningFinancial ModelingPrice ModelingReturn PredictionRisk ModelingProduction Dataset AnalysisData ValidationData Quality ChecksData SummarizationAnalytical Presentation

Qualifications

Master of Science in Listed or Related Field1 Year of Related Experience

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.

Similar jobs, posted recently

Open roles like this one, listed in the last 30 days.

You've read the whole posting — now see how you match it.