Top Tech Jobs & Startup Jobs in NYC, NY

Lead full‑stack development for hedge fund technology: gather requirements, design and implement Java/Python/React applications, support AWS/Terraform infrastructure and RDS databases, drive AI‑assisted engineering practices, mentor engineers, integrate third‑party vendor systems, and ensure secure, scalable, test‑driven delivery.

Manages a portfolio of small-business clients by acquiring, retaining, and expanding relationships; provides business banking, deposit, cash management, lending, credit, and financial advisory solutions. Conducts client and prospect meetings, develops new business, partners with internal specialists, manages portfolio profitability and risk, and follows regulatory requirements.

Manages a portfolio of small-business clients, providing customized banking, deposit, cash management, credit, and financial advice solutions. Acquires and retains clients, develops relationships through prospecting and in-person meetings, identifies business and personal financial needs, coordinates referrals to internal specialists, and balances client service with profitability, risk management, and regulatory compliance.

Manages a portfolio of business banking clients, acquiring and retaining relationships while providing customized deposit, cash management, lending, credit, and financial solutions. Develops new business through prospecting and in-person client engagement, assesses business and personal financial needs, coordinates referrals to specialists, and balances client service with risk management and regulatory compliance.

Own technology portfolio planning, investment governance, executive reporting, data quality, risk controls, audit readiness, and process improvement. Partner with Engineering, Product, Finance, and business stakeholders to manage priorities, budgets, dependencies, and delivery health. Lead adoption and governance of AI-enabled and agentic workflows with human validation, traceability, security, and operational risk controls.

Develop and execute cyber threat intelligence strategies, analyze large datasets to identify threat indicators, validate AI-assisted intelligence outputs, and translate findings into actionable recommendations. The role collaborates with stakeholders, improves detection frameworks and response playbooks, supports cybersecurity operations, and communicates intelligence to senior executives. Preferred experience includes SOC or Cyber Fusion Center environments, threat intelligence frameworks, regional expertise, language skills, and collaboration with government or industry threat-sharing communities.

Leads software engineering for the Card Authorizations team, directing technical strategy, governance, resources, budgets, complex initiatives, and cross-functional delivery. Establishes responsible agentic AI engineering practices, SDLC and TLM automation, quality controls, security guardrails, and operational metrics. Develops technical talent, influences senior stakeholders, and delivers scalable cloud-native solutions across business domains.

Lead Finance MIS transformation across reporting, KPIs, dashboards, data pipelines, analytics, and AI-enabled insights. Own the reporting strategy, roadmap, governance, controls, data quality, automation, and auditability. Partner with Planning & Analysis and Product Controllers to deliver financial and risk insights, influence senior stakeholders, and manage cross-functional delivery. Lead and mentor analysts, developers, and BI resources while modernizing reporting processes and applying responsible AI and GenAI use cases.

Manage a portfolio of 70–90 small business clients, delivering customized business banking, deposit, cash management, and credit solutions (up to ~$500,000). Build relationships through in-person calls and prospecting, collaborate with internal specialists, follow risk and regulatory protocols, and support assigned branches to ensure client satisfaction and portfolio profitability.

Develop and deploy AI/ML models for consumer banking use cases including lead scoring, next-best-action, retention, cross-sell, and customer prioritization. Define success metrics, analyze complex datasets, communicate recommendations to nontechnical stakeholders, and partner with product, technology, governance, risk, and operations teams. Ensure models meet regulatory and model risk standards through documentation, monitoring, drift detection, and retraining.