Top Tech Jobs & Startup Jobs in NYC, NY

Develop and execute sales strategies to generate new business; build, maintain and grow client relationships; present and pitch financial products; liaise with internal teams and research; negotiate terms; manage risk and controls; and lead or coach team members to achieve revenue targets.

Lead client relationship management and escrow sales, design tailored banking solutions, assess financial and operational risks, ensure regulatory compliance, drive revenue and client satisfaction, manage large teams or lead cross-functional strategic initiatives, and represent the function to senior stakeholders.

Lead client relationship management, design bespoke banking and wealth solutions, assess and mitigate financial/legal/operational risk, ensure regulatory and compliance adherence, manage a large team or lead cross-organisational strategic projects, influence policy and senior stakeholders, and monitor performance metrics to drive long-term profitable partnerships.

The role involves designing and implementing statistical and machine learning models for transaction monitoring, leading teams, and ensuring data quality for decision-making in financial crime risk management.

Lead commercial management of strategic market data vendors and contracts. Negotiate global agreements, engage senior front-office and technology stakeholders, translate business needs into sourcing strategies, optimize costs and governance, and build a high-performing team to deliver market data services and commercial excellence.

Lead and manage UNIX operations teams to enhance delivery of software solutions while driving efficiency, security, and innovation in a financial context.

The Equity Research AVP role involves market analysis, producing research reports, client engagement, and leading a team to provide investment insights.

The role involves developing quantitative models, conducting market research, managing a team, and influencing strategic initiatives for the equity derivatives sector.

The role involves developing, troubleshooting, and supporting a Java-based OMS for trading, ensuring high performance and compliance in a team setting.

Quantitative strategist role supporting U.S. rates trading: develop and implement interest-rate term-structure models (e.g., Cheyette, LMM) in a C++ analytics library, build pricing/risk engines for Treasuries and futures, create real-time GUI visualizations, maintain Libor-fallback analytics, apply statistical methods (PCA, linear algebra), and build Python automation pipelines. Collaborate with trading, Strats, and Quant Infrastructure teams and contribute to research and production rollout.