Top Tech Jobs & Startup Jobs in NYC, NY

The Compliance Privacy Manager ensures compliance with privacy laws, mitigates risks, and advises business lines on privacy requirements. Responsibilities include monitoring privacy trends, engaging with teams, and reporting to leadership.

The Product Manager will develop data-centric capabilities for Capital One marketers to optimize campaigns and shape the AdTech strategy.

The role involves managing product development for small business banking, focusing on customer experience, technology integration, and leadership of cross-functional teams.

Lead strategy and delivery of customer-facing open banking experiences for small business cards, collaborating across various teams to enhance product offerings and customer engagement.

As a Senior Associate Data Scientist, you'll leverage advanced machine learning techniques on cash flow data to forecast creditworthiness, collaborating with cross-functional teams and utilizing technologies like Python and AWS.

Lead the Cash Flow Underwriting Team as a Data Scientist, leveraging advanced machine learning techniques for predictive modeling in creditworthiness and customer behavior.

The role involves managing technology and cyber risks, performing risk assessments, collaborating with stakeholders to mitigate risks, and improving processes within a financial services context.

The role involves leveraging advanced machine learning techniques to analyze cash flow and transaction data, developing predictive models, and collaborating with a cross-functional team to drive customer-focused solutions.

The Risk Manager will enhance risk governance and controls, managing processes and projects while effectively communicating changes and driving innovation in risk management practices. Requires strong data management skills and partnership with stakeholders.

Lead development and deployment of generative AI solutions for financial data analysis. Fine-tune multimodal LLMs, manage large-scale data annotation, build and maintain model/data pipelines with engineers, leverage Python/PyTorch/HuggingFace/Dask/LangChain, and translate technical work into business outcomes.