Top Tech Jobs & Startup Jobs

Lead data extraction, cleaning, analysis, and visualization to identify audit risks and control weaknesses. Build GenAI code and automations to support audit planning, testing, and exception detection. Design dashboards, ensure data governance and privacy compliance, and provide data-driven insights to auditors and stakeholders while leading or guiding teams.

As a Municipals Analyst, you'll manage financial risks for clients, conduct market research, develop financial models, and assist in transactions.

As a Wealth Planner, you will manage client relationships, conduct financial analysis, provide investment advice, and design customized financial solutions to meet clients' needs.

The role involves developing software solutions using Power Platform and Azure, collaborating across teams to meet business objectives, and adhering to coding best practices.

Manage and improve production support for critical banking technology: resolve complex incidents, perform preventative maintenance, tune monitoring, automate processes, manage capacity/resiliency, maintain documentation, liaise with front office stakeholders, and lead stability and continuous improvement projects for Equities Derivatives applications.

Lead strategy, development, and delivery of Prime/Synthetic Finance products for Global Equity Finance. Act as primary client contact, drive cross‑functional initiatives, improve processes with trading, risk, middle office and settlements, and ensure regulatory and risk governance while managing stakeholders and delivering business solutions.

Lead coverage and strategic relationship management for the firm's largest hedge fund, asset manager, and insurer clients. Grow and monetize client relationships, coordinate internal stakeholders, manage credit/operational/financial crime risk, produce client revenue and wallet analyses, drive lending committee business cases, create annual client gameplans, and prepare senior management briefings to support firmwide Markets and Investment Bank priorities.

Build and maintain enterprise data pipelines, warehouses and lakes using Java, Spark and Kafka. Lead a development team, ensure data quality, observability, security and regulatory compliance (FINRA/SEC). Implement scalable APIs on Kubernetes, authentication with OAuth2/JWT, and testing via JUnit/Mockito. Collaborate with data scientists to deploy ML models and drive data governance.

Design and deliver enterprise-grade, distributed, cloud-native microservices and big data solutions for Global Treasury. Lead architecture, code reviews, testing, mentoring, environment management, and collaborate with product, QA, and stakeholders to meet business and regulatory requirements.

Use data analytics and machine learning to detect conduct and financial crime risks. Build data pipelines, clean and transform data, develop statistical and predictive models, apply graph/network analytics, produce dashboards and MI, and collaborate with stakeholders and technology teams to improve AML and market surveillance processes.