Top Tech Jobs & Startup Jobs in NYC, NY

Leads strategic business analysis for lending products, including product and pricing strategy, marketing, credit risk modeling, customer experience development, and cross-functional execution. Manages concurrent projects, develops business requirements, mentors analysts, and partners with technology, sales, operations, and finance teams. Uses quantitative analysis, consumer credit trends, and performance monitoring to improve profitability, growth, and customer outcomes.

Leads data science initiatives for Capital One’s Card Mainstreet business. Partners with data scientists, software engineers, and product managers to develop customer-focused solutions; analyzes large-scale numeric and textual data; builds, validates, and implements machine learning models; translates technical findings into business outcomes; and supports innovation and team talent development.

Partner with Enterprise Payments teams to define and prioritize features across Authorizations, Settlement, Disputes, Backoffice, Pricing and Go-to-Market. Break down epics into user stories, own roadmaps, use data and hypothesis-driven assessment, and collaborate with designers, engineers, and data scientists to deliver scalable, customer-focused payment products in an agile environment.

Perform financial analysis, forecasting, and P&L management; build forecasting and cost models; produce monthly/quarterly reviews; support ad-hoc analysis and presentations to senior leadership; partner with business leaders to inform decisions and improve processes through automation and transparency.

The Senior Associate for FP&A provides financial analysis and reporting, supports budgeting and forecasting, and develops presentations for senior leadership. They must collaborate across teams and articulate financial implications of business initiatives.

Provides legal counsel to Capital One’s Commercial Real Estate and Multifamily Agency Finance businesses. Advises on Fannie Mae, Freddie Mac, and FHA/HUD lending requirements, securitization sub-servicing documentation, regulatory compliance, negotiations, outside counsel, industry developments, training, and process improvements. Partners with business, risk, compliance, operations, and other legal teams while serving as a strategic subject matter expert.

Leads product design for partner experiences within Capital One’s Global Payment Network. Responsibilities include directing design projects, mentoring designers, developing human-centered solutions, creating journey maps and prototypes, influencing product strategy, collaborating with product, technology, and business stakeholders, and presenting design recommendations to senior leaders. The role requires strong product design expertise, leadership, communication, problem-solving, and business acumen in complex, regulated environments.

Own the Rewards loyalty platform’s setup domain, including front-end and back-end program management capabilities, merchant qualification enhancements, and benefit updates. Define and prioritize product roadmaps, translate epics into features and user stories, establish acceptance criteria, conduct data-informed research, and collaborate with engineering, design, data science, and business stakeholders in an agile environment.

Leads global B2B and B2C brand research, including brand health tracking, voice-of-customer programs, research architecture, and insights roadmaps. Translates quantitative findings into marketing strategies, content, and executive recommendations. Manages research vendors and internal teams, establishes operating rhythms, and may lead and develop analysts. Requires strong storytelling, analytical rigor, market research expertise, and experience in financial services, payment networks, or B2B fintech.

Paid 12-week applied research internship for current PhD students. Interns will develop and evaluate AI and machine learning solutions, collaborate with researchers, engineers, data scientists, and product managers, use technologies such as PyTorch and AWS, and contribute to production systems or academic publications. Research areas include foundation models, LLMs, reinforcement learning, causal inference, recommendation systems, interpretability, and agentic systems.