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Top Tech Jobs & Startup Jobs in NYC, NY
Fintech • Machine Learning • Payments • Software • Financial Services
Leads full-stack engineering initiatives, technical architecture, and teams developing large-scale distributed and cloud-native systems. Designs and implements reliable, high-performance solutions using modern programming languages, databases, containers, and cloud platforms. Shapes platform roadmaps, establishes engineering standards, mentors engineers, drives observability and reliability practices, and partners with product and architecture leaders on enterprise technology strategy.
Top Skills:
Ai Coding ToolsAutomated Testing FrameworksAWSAzureBitbucketC#Ci/CdDockerGCPGitGitGoIde CopilotsInfrastructure As CodeJavaJavaScriptKubernetesNode.jsNosql DatabasesObservability ToolsOpen Source RdbmsPythonRustScalaTypescript
Fintech • Machine Learning • Payments • Software • Financial Services
Develops deal strategies, pricing analyses, and financial recommendations for Capital One’s global payment network relationships. Partners with Pricing, Corporate Development, Sales, and other teams to evaluate opportunities, support negotiations, improve profitability, and drive strategic initiatives. The role requires strong quantitative analysis, business judgment, communication, negotiation, and leadership skills in a fast-paced financial services environment.
Fintech • Machine Learning • Payments • Software • Financial Services
Analyze business challenges and opportunities across business cards and payments, developing strategic recommendations, product and pricing models, marketing insights, credit risk models, and implementation plans. Partner cross-functionally with IT, Sales, Operations, and Finance to improve quality, volume, service, and profitability. Use quantitative analysis, statistical modeling, market research, and SQL to support product strategy and credit risk management.
Top Skills:
SQL
Fintech • Machine Learning • Payments • Software • Financial Services
Advise Capital One’s Board, Compensation Committee, and senior management on executive compensation, governance, fiduciary duties, securities regulations, and corporate transactions. Lead compensation disclosures in SEC filings, Section 16 compliance, plan and agreement reviews, M&A integration, regulatory monitoring, committee materials, and governance initiatives. Partner with Legal, Finance, Tax, compensation teams, vendors, and other stakeholders in a complex, highly regulated environment.
Fintech • Machine Learning • Payments • Software • Financial Services
Build and deploy machine learning and data science models across the credit card lifecycle, including marketing, acquisitions, underwriting, and fraud prevention. Partner with data scientists, software engineers, and product managers; analyze large numeric and textual datasets; develop models through design, training, validation, evaluation, and implementation; and translate complex analytical findings into business outcomes.
Top Skills:
SparkAWSCondaH2OMachine LearningPythonRScalaSQL
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Fintech • Machine Learning • Payments • Software • Financial Services
Uses workforce data, analytics, experimentation, and organizational science to inform talent strategy, workforce planning, associate experience, and retention initiatives. Designs measurement frameworks, attribution models, automated insights, and analytical tools; partners with HR stakeholders and executives to develop solutions, evaluate programs, and communicate actionable recommendations. Requires strong quantitative analysis, strategic problem-solving, communication, and execution skills.
Fintech • Machine Learning • Payments • Software • Financial Services
Own the secured card data product, lead a technology squad, manage agile product-owner cadences, translate business needs into data updates, prioritize roadmaps, and deliver customer-focused features. Collaborate with engineering, designers, data scientists, operations, and stakeholders to define requirements, acceptance criteria, user stories, MVPs, and high-performing data infrastructure while managing risk and driving roadmap execution.
Top Skills:
AgileData Infrastructure
Fintech • Machine Learning • Payments • Software • Financial Services
Leads data analysis for Capital One Travel, partnering with product and engineering teams to define KPIs, build dashboards, conduct deep-dive analyses, design A/B tests, troubleshoot tracking and data issues, and improve data models. The role supports product decisions, operational improvements, and accessible, reliable data across complex travel databases. It also requires collaboration with stakeholders and hands-on use of AI-powered tools for data and code investigation.
Top Skills:
A/B TestingAWSClaude CodeGeminiPythonRRelational DatabasesSparkSQLTableau
Fintech • Machine Learning • Payments • Software • Financial Services
Leads technology risk governance and advisory activities for Capital One’s Global Payments Network. Responsibilities include managing risks and issues through their lifecycle, driving risk identification and mitigation, advising technology stakeholders, facilitating executive risk discussions, improving governance processes, and delivering risk reporting and analytics. The role requires expertise in technology GRC, risk assessments, payment networks, resilience, cybersecurity, stakeholder management, and executive communication.
Top Skills:
Application SecurityBusiness ContinuityChaos EngineeringCisaCismCisspCloud SecurityCloud-Native ArchitectureCriscData ProtectionData VisualizationDisaster RecoveryGrcHigh AvailabilityIdentity And Access ManagementIncident ResponseInfrastructure As CodeObservabilityOperational ResilienceRisk AssessmentSite Reliability EngineeringSlasSlosThree Lines Of Defense
Fintech • Machine Learning • Payments • Software • Financial Services
Leads strategic business analysis for Capital One’s Business Cards and Payments portfolio. Develops growth, profitability, pricing, lending product, marketing, and credit-risk strategies using quantitative analysis and modeling. Manages product requirements, project execution, cross-functional partnerships, and potentially a small team of analysts. Requires strong executive communication, business judgment, leadership, and analytical problem-solving skills.
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