Top Tech Jobs & Startup Jobs in NYC, NY

Participate in a 24-month rotational analyst program supporting People and Corporate Affairs initiatives. Responsibilities include improving employee experience, analyzing workforce data, building dashboards, piloting generative AI tools, supporting talent mobility, conducting employee feedback activities, creating change communications, and researching workforce and policy trends.

Participate in a 24-month rotational credit analyst program supporting financial analysis, underwriting, portfolio monitoring, transaction support, reporting, and process improvement. Analyze company financials, industry trends, and risk indicators; assist with credit materials and portfolio reviews; and develop skills in credit assessment, deal structuring, and lending risk management. The role includes structured training, mentorship, networking, and exposure to BNY teams and business practices.

Participate in a 24-month rotational analyst program supporting risk and compliance activities. Analyze information, identify trends, assess risk management practices, and assist with governance reviews, reporting, documentation, monitoring, and compliance efforts across credit, market, liquidity, technology, operational, model, and enterprise risk. Collaborate with global teams while developing analytical, communication, judgment, and risk management skills.

A 24-month rotational engineering analyst program for undergraduate students. Participants develop applications, APIs, automation, developer tools, and platform capabilities across the software development lifecycle. Responsibilities include coding, testing, debugging, code review, CI/CD, secure development, monitoring, documentation, and collaboration with engineers, architects, and product partners. Analysts build foundational skills in software engineering, AI-assisted development, cloud and container concepts, reliability, and financial services technology.

Participate in a 24-month rotational data science analyst program, applying data analysis, feature engineering, statistical methods, and machine learning to business and engineering problems. Build analytical models, automate processes, identify patterns and anomalies, and communicate data-driven recommendations. Collaborate with engineering and business teams while developing skills in Python, JavaScript, Java, distributed computing, and scalable data solutions.

Leads Scrum teams by facilitating Agile ceremonies, removing impediments, managing dependencies, supporting backlog and program objectives, and coaching teams and product owners. Drives continuous improvement, software delivery quality, team productivity, consensus, and organizational Scrum adoption. Coordinates team-level and program-level planning while applying Agile methods including Scrum, SAFe, Kanban, XP, and related engineering practices.

Supports budgeting, forecasting, monthly close, variance analysis, financial modeling, reporting, and executive decision-making for corporate functions. Partners with finance and business stakeholders to identify trends, risks, opportunities, and actionable insights while maintaining financial controls and improving planning processes. The role also emphasizes using AI to improve automation and efficiency.

Leads asset liability management and interest rate risk oversight across the balance sheet. Responsibilities include analyzing earnings-at-risk and economic value sensitivity, evaluating exposures and hedging strategies, monitoring market and behavioral assumptions, supporting stress testing and governance, preparing senior management and committee reporting, enhancing ALM models and analytics, and contributing to regulatory and audit deliverables. The role also mentors team members and partners across Treasury, Finance, Risk, and business functions.

Lead architecture, design, and implementation of production generative AI solutions, agentic systems, knowledge platforms, and data products. Establish reusable engineering frameworks, observability, security, evaluation, governance, and operational readiness practices. Provide technical leadership across delivery teams, partner with stakeholders on roadmaps, mentor engineers, and remain hands-on with prototyping, troubleshooting, and delivery of high-value AI capabilities.

Provides operational support and issue resolution for AI infrastructure and platform services. Manages Kubernetes and Docker deployments, monitors distributed workloads, and develops Python and Shell automation. Uses GitLab CI/CD, JIRA, ServiceNow, and Azure AD while troubleshooting networking and storage issues. Documents infrastructure processes and runbooks, collaborates cross-functionally, and participates in periodic on-call rotations, including occasional weekend coverage.