Top Tech Jobs & Startup Jobs

Lead data science and AI initiatives for Home Lending Operations by developing product analytics, machine learning, experimentation, KPI, and trigger-driven capabilities. Translate ambiguous business problems into actionable insights, improve client journeys and operational efficiency, and identify scalable agentic AI use cases. Partner with product, strategy, operations, and technology teams while communicating recommendations to senior stakeholders in a regulated environment.

Leads engineering teams responsible for secure, scalable enterprise Linux platforms and services. Sets technical direction for OS image development, lifecycle management, automation, CI/CD, security hardening, software supply chain integrity, and operational resilience. Owns roadmaps and modernization initiatives, partners with cybersecurity and technology stakeholders, establishes governance and reliability metrics, and mentors engineering talent in a globally distributed, regulated environment.

Lead the research, development, and production deployment of LLM-based AI agents for financial services. Direct work on multi-step planning, tool use, multi-agent orchestration, fine-tuning, reinforcement learning, retrieval, evaluation, scaling, and safety. Establish technical research direction, define performance metrics, and partner with Product, Engineering, Design, and Risk teams to deliver secure, compliant, human-centered conversational experiences to millions of customers.

Leads product analytics for small business lending by framing business questions, building and validating datasets, developing KPI and reporting frameworks, conducting statistical and predictive analyses, and translating findings into executive-ready recommendations. Partners with product, lending strategy, risk, finance, technology, and operations stakeholders to improve measurement, automation, data governance, customer understanding, and lending-product performance.

Design and improve accessible, inclusive digital experiences for credit card products across web and mobile platforms. Apply interaction design, information architecture, storyboarding, data analysis, user research, and design systems to solve complex problems. Collaborate with Product, Strategy, Technology, and other partners; communicate design rationale and tradeoffs; incorporate user feedback; and develop reusable frameworks and playbooks that improve consistency and speed to market.

Leads software engineering within an Identity and Access Management team, designing, developing, testing, debugging, and operating secure, scalable applications and APIs. Drives adoption of AI-assisted engineering practices with appropriate validation, improves automation and application stability, evaluates architectural solutions, and promotes modern technologies through technical leadership and communities of practice. Requires expertise in software development, cloud-native systems, AWS, infrastructure as code, REST APIs, CI/CD, automated testing, and Agile delivery.

Lead the enterprise customer experience strategy for card and connected commerce. Identify and quantify customer pain points, translate insights into prioritized initiatives, establish measurable outcomes and dashboards, and drive cross-functional execution across product, marketing, operations, analytics, technology, and risk. Build governance, operating rhythms, executive communications, and high-performing teams to institutionalize customer-centric decision-making and improve experiences at scale.

Develop quantitative analytics, pricing, risk, P&L, and lifecycle models for exotic equity derivatives. Build derivative product frameworks using C++ and Python, apply machine learning and dependency-graph programming, validate models, document methodologies, monitor model risk, and support traders through risk analysis, scenario testing, and explanations of model behavior.

Lead independent oversight of operational, technology, and cyber risks for AI and machine learning platforms and use cases. Assess threat exposures, analyze emerging risks and related events, challenge first-line mitigation strategies, evaluate controls, and collaborate with technology, risk, and corporate-function stakeholders to support resilient and responsible AI adoption.

Reviews marketing communications and digital materials for regulatory compliance, advises marketing teams on advertising requirements, collaborates with Legal and compliance partners, maintains first-line controls, supports automation and simplification initiatives, drafts procedures and training materials, and makes risk-based decisions while meeting deadlines.