Top Tech Jobs & Startup Jobs in NYC, NY

Leads global data quality, governance, analytics, reporting, and risk programs at enterprise scale. Oversees distributed teams, budgets, regulatory and board reporting, data policies, KPI/KRI frameworks, remediation, and strategic planning. Partners with business, technology, operations, and risk leaders to improve data integrity, compliance, revenue, efficiency, and customer outcomes. Establishes governance architectures and technical standards across cloud data platforms, data quality tools, and big data or streaming environments.

Leads audience analytics and targeting for Citi Commerce, using first-, second-, and third-party data to develop targeted audiences, optimize advertising relevance, and identify growth opportunities. Responsibilities include analytics roadmap ownership, audience segmentation, AI/ML model development, GenAI integration, forecasting, performance insights, cross-functional collaboration, governance, and team development. The role requires deep commerce media expertise, advanced quantitative skills, and the ability to translate complex analysis into business and advertiser strategies.

Develop and enhance Citi’s margin calculation and reporting platform for Prime Finance Services. Responsibilities include designing scalable Java applications, implementing microservices, analyzing complex business and technical challenges, supporting the full software development lifecycle, improving performance, consulting with stakeholders, managing technical risks, and supporting global production systems. The role requires independent ownership, agile collaboration, regulatory awareness, and expertise in distributed financial software systems.

Build and deepen relationships with affluent and high-net-worth clients, identify financial needs, provide holistic banking and investment solutions, acquire new clients, generate referrals, and expand portfolio value. Conduct client meetings and events, coordinate with product specialists and branch partners, ensure follow-up, and maintain strict KYC, AML, SAFE Act, regulatory, and compliance standards. The role also provides coaching, analytical support, and informal team leadership.

Designs, develops, implements, and supports data applications, warehouses, and ETL systems. The role uses AWS Glue, Athena, Airflow, Snowflake, databases, Python, PySpark, Unix scripting, and Ab Initio. Responsibilities include systems analysis, application development, testing, implementation, risk assessment, security measures, user support, process standards, project management, and mentoring junior analysts. Mortgage originations and servicing experience is required, with Big Data and AI exposure preferred.

Build and deepen affluent and high-net-worth client relationships through financial discovery, planning, banking, credit, investment, and mortgage solutions. Acquire new clients, grow portfolio wallet share, manage referrals, conduct high-touch client engagement, organize events, and ensure regulatory, KYC, AML, and SAFE Act compliance. Collaborate with branch partners and product specialists while assessing risk and maintaining strong client experiences.

Analyze and monitor credit risk for hedge fund and private market portfolios. Conduct quantitative and qualitative assessments, underwrite capital markets products, assign risk ratings, prepare credit memos and annual reviews, perform stress testing, identify emerging concerns, and communicate independent credit recommendations to banking and risk stakeholders.

Build and deepen affluent and high-net-worth client relationships through financial discovery, planning, and tailored banking, credit, investment, and mortgage solutions. Acquire new clients, expand portfolios, generate referrals, conduct client meetings and events, and coordinate with specialists. Maintain regulatory compliance, including KYC/AML, SAFE Act, FINRA, insurance, and mortgage licensing requirements. Coach team members and support positive branch experiences.

Summer Analyst on Citi’s Markets Quantitative Analysis team, developing quantitative models and analytics for derivatives, algorithmic execution, trading strategies, and risk management. The role includes a structured training program, quantitative modeling desk placement, a summer project, data science competition, desk rotations, and presentations to senior leadership. Candidates should have strong mathematical, statistical, programming, artificial intelligence, and machine learning skills, plus an interest in financial markets.

Build and deepen affluent and high-net-worth client relationships through financial discovery, profiling, referrals, and tailored banking, credit, investment, and financial planning solutions. Acquire new clients, expand portfolios, organize client engagement events, and coordinate with lending, advisory, and small-business partners. Maintain regulatory compliance, including KYC/AML, FINRA registrations, insurance licensing, and SAFE Act mortgage loan originator requirements. Coach colleagues and support branch-wide client service.