Top Data & Analytics Jobs in New York City, NY
As a Sr. Pricing Analyst, you will develop and execute pricing strategies, conduct analyses, support sales teams, and build market insights to enhance Convera's pricing models. You will collaborate across functions, build financial models, and effectively communicate with executive audiences to drive revenue improvements.
The Infrastructure Investments Analyst will analyze infrastructure fund opportunities, conduct due diligence, assist in preparing investment recommendations, and manage portfolio activities. Key responsibilities include industry research, client relationship support, and monitoring investment performance.
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The Sales Development Representative (SDR) will be responsible for generating new business opportunities, qualifying leads, and creating outreach strategies to connect with potential clients. A successful SDR will track outreach results and work collaboratively with the sales team to enhance lead generation and conversion processes.
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The Senior Data Developer will design and build a data and reporting ecosystem for the CRO organization. Responsibilities include developing BI dashboards, creating ETL pipelines, enhancing data models, and ensuring data quality. The role requires collaboration with stakeholders to deliver business requirements and support data analytics initiatives.
Analyze and counter malicious software by developing cyber capabilities. Responsibilities include reverse engineering programs, developing tools, and implementing security measures. Engage effectively with customers and teammates, and keep abreast of advanced mitigations and anti-reverse engineering techniques.
The Senior Legal Technology Integration Specialist will develop and implement integration solutions for legal tech clients, leveraging insights into business processes, managing data quality, and collaborating with cross-functional teams. They will utilize SQL and Python for data analysis, stay updated on trends in legal tech, and lead complex project plans.
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.
As a Quantitative Strategist at Virtu, you will develop predictive models, research and implement trading strategies, analyze existing strategies for improvements, and create tools to automate research tasks. Combining technical skills with statistical methods, you will collaborate in a collegiate environment alongside traders and software engineers.
The Data Engineer will contribute to developing and maintaining ETL pipelines, analyzing data sources, and improving data quality at Altana, supporting internal teams and collaborating with engineering and machine learning teams.
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++.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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