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Top Data & Analytics Jobs in New York City, NY

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4 Days Ago
New York City, NY
21 Employees
175K-250K Annually
Entry level
21 Employees
175K-250K Annually
Entry level
Financial Services
As a Quantitative Researcher, you'll research and develop quantitative strategies, utilizing large data sets and applying machine learning algorithms to identify trading opportunities. You will be expected to generate impactful research and possess deep knowledge in time-series analysis, primarily using Python and possibly C++.
4 Days Ago
New York City, NY
196 Employees
Mid level
196 Employees
Mid level
Financial Services
As a Trading Operations Analyst, you will monitor trading and portfolios, guide algorithmic trades, troubleshoot issues, analyze market events, assist with strategy deployment, and develop internal tools to optimize trading operations.
4 Days Ago
New York City, NY
909 Employees
45K-65K Annually
Junior
909 Employees
45K-65K Annually
Junior
Financial Services
As a Desktop Support Analyst Level 1, you will serve as the primary contact for IT support requests, providing assistance with PCs, laptops, printers, and software applications. You will be responsible for incident resolution, maintaining departmental knowledge resources, and ensuring a positive user experience through effective communication and problem-solving skills.
4 Days Ago
New York City, NY
Hybrid
19 Employees
125K-225K Annually
Junior
19 Employees
125K-225K Annually
Junior
Artificial Intelligence • Machine Learning • Software
As a Quantitative Research Analyst, you will analyze large datasets to improve investment portfolios, perform quantitative analysis, and collaborate with senior researchers. Responsibilities include data parsing, statistical modeling, backtesting strategies, and monitoring portfolio performance.
4 Days Ago
New York City, NY
353 Employees
Senior level
353 Employees
Senior level
Marketing Tech • Design
The FP&A Expense Analyst will manage and report expenses for a portfolio of brands, support budgeting processes, assist in financial reporting and analysis, and collaborate with department heads to identify trends and cost-saving opportunities, leveraging data tools like Tableau.
4 Days Ago
New York City, NY
1,056 Employees
Entry level
1,056 Employees
Entry level
Fintech
The Associate, Data Acquisition will analyze data agreements, liaise with trading teams, negotiate with vendors, assist in exchange reporting, and enhance operational processes for better efficiency.
4 Days Ago
New York City, NY
60K-75K Annually
Entry level
60K-75K Annually
Entry level
Agency
The Analyst will support the client delivery team by driving research strategies, identifying quality executive candidates, and analyzing industries and markets. This role involves interfacing with senior executives and contributing to strategic research efforts, ensuring high-quality candidate flow and data integrity within databases.
4 Days Ago
New York City, NY
315 Employees
Senior level
315 Employees
Senior level
Fintech • Financial Services
The Manager, Strategy and Analytics at Novo will leverage data to drive strategic initiatives, enhance product performance, and optimize growth for credit products. Responsibilities include data analysis, collaboration with cross-functional teams, and guiding a team of analysts through data-driven strategies.
4 Days Ago
New York City, NY
704 Employees
Junior
704 Employees
Junior
Financial Services
The Equity Research Associate will assist a Senior Analyst in the Healthcare sector with a focus on Biotechnology. Responsibilities include conducting financial analysis, preparing financial models, performing industry research, writing comprehensive reports, and maintaining relationships with industry contacts and institutional investors.
4 Days Ago
New York City, NY
1,089 Employees
200K-300K Annually
Senior level
1,089 Employees
200K-300K Annually
Senior level
Angel or VC Firm
The AI Research Scientist will lead research projects leveraging machine learning for quantitative analysis in finance. Responsibilities include identifying pertinent problems, collaborating with trading teams, and enhancing model design and infrastructure. The role requires a combination of ML expertise, engineering, and an understanding of market dynamics.
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