Permanent Data Science And Analytics Jobs in New York
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Senior Originator, Lower Middle Market Private Credit
A leading private credit investment firm is seeking a Senior Originator to join its growing Lower Middle Market (LMM) direct lending platform in New York,NY. This individual will play a key role in sourcing, developing, and executing investment opportunities while expanding relationships across the lower middle market ecosystem.This is an opportuni...
Fraud Data Scientist
Title: Fraud Data Scientist Compensation: $140k - $165k base + bonus Company Summary: A leading consulting firm is seeking a Fraud Analytics Senior Associate/Data Scientist to help clients across financial services, fintech, and payments strengthen fraud detection capabilities. The role combines fraud strategy, machine learning, and advanced analyt...
VP Tax Management & Compliance
VP TaxLocation: New York CityJob Type: HybridSalary: $220-255k + bonus Client/Job Summary:Our client is a nonprofit financial services firm looking for a VP of Tax to oversee all tax functions for the firm and its affiliates, including tax planning, research, and compliance. This person will oversee enterprise-wide tax strategy, compliance, and ris...
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Investment Analyst Private Credit
A top-tier global asset manager is seeking an Investment Analyst to join its Private Credit team in New York. This role offers the opportunity to join a well-established platform with significant AUM and a strong track record in credit investing, providing exposure to a high volume of transactions, direct access to senior investors, and a clear pat...
Data Analyst
Data Analyst | Quantitative Trading FirmOverviewJoin a leading quantitative trading firm where data, technology, and research drive business performance.Work with large-scale financial, market, vendor, and alternative datasets that support critical business and research functions.Partner with engineers, data professionals, and business stakeholders...
Senior Data Engineer
ResponsibilitiesBuild and optimize scalable data pipelines and data products.Develop reliable datasets for analytics, reporting, and AI applications.Establish data engineering standards, frameworks, and best practices.Improve data quality, monitoring, testing, and platform observability.Integrate and reconcile complex datasets from multiple sources...