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Big Data • Information Technology • Productivity • Software • Analytics • Business Intelligence • Consulting
As a Lead AI Consultant at Celonis, you will architect AI-enriched solutions, advise on technical implementations, and manage AI deployment within customer environments while collaborating with various teams.
Top Skills:
AICelonis PlatformLlm-Based SolutionsProcess MiningPythonReal-Time Data Integration
Conversational AI • Generative AI
As an Enterprise Account Executive, you'll manage the full sales cycle, build pipelines, and partner with product teams to drive revenue for AI video solutions in enterprise markets.
Top Skills:
AIApi IntegrationMachine LearningSaaSVideo Generation
Conversational AI • Generative AI
The Creative Director will build and maintain the visual identity and design systems for LTX, ensuring consistency across products and brands while mentoring a creative team and collaborating cross-functionally.
Top Skills:
Adobe Creative SuiteFigma
ABOUT CUBIST
Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
ROLE/RESPONSIBILITIES:
- Design, develop, and maintain high-performance trading systems and infrastructure to support systematic trading strategies
- Develop and maintain robust data pipelines for real-time and historical market data, ensuring data integrity and accessibility
- Conduct rigorous testing and validation of trading systems and data pipelines to ensure reliability and accuracy
- Work closely with cross-functional teams – including researchers, traders, and technology – to align system capabilities with business needs
REQUIREMENTS:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field
- 2+ years of experience in quantitative development, preferably within a trading or financial services environment
- Proficiency in one or more programming languages such as Python, C++, or Java
- Strong problem-solving skills and the ability to work with complex systems
- Commitment to the highest ethical standards
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
