Top Financial Services Data & Analytics Jobs in New York City, NY

The Senior Optimization Consultant analyzes payment performance for merchants, educates teams, collaborates cross-functionally, and improves payment solutions.

Quantitative Research Analysts develop models and trading strategies, conduct statistical research, and implement trading signals using complex data.

Quantitative Research Engineers at Citadel develop technology to support trading strategies, create research platforms, and work collaboratively in a technical environment.

As a Quantitative Research Analyst Intern, you'll develop and test quant trading strategies, perform statistical analysis, and translate algorithms into code, collaborating with a skilled team.

As a Machine Learning Scientist, you will apply machine learning methods to NLP and analytics tasks, collaborate with teams, and research innovations.

The role involves managing trade operations, financing needs, and supporting investment processes for credit and multi-strategy funds, liaising with teams for effective execution and compliance.

The role involves generating valuations for fixed income securities, maintaining pricing models, conducting data analysis, and interacting with clients and trading desks.

Lead the marketing analytics team, managing data and reporting for campaigns, developing strategies to measure effectiveness, and presenting insights to drive growth.

As Director of Investment Performance and Analytics, you'll oversee investment accounting, drive data analysis of performance metrics, and collaborate across teams to enhance financial reporting quality and improvements.

As a Senior Data Scientist in Product Analytics, you will analyze data to guide product decisions, support product managers, and improve financial stability for users.

The Senior Business Manager will lead a team of business analysts, driving data transformation initiatives, improving data usage, and collaborating with product teams to enhance business value.

Support development, testing, and maintenance of Excel-based scenario testing tools for retail life insurance products. Collaborate on modernization initiatives and ensure accurate product configuration in a new policy administration system.

The Data Scientist will analyze data, develop models, collaborate across teams, and support strategic projects to drive insights and growth.