Top Fintech Jobs

Designs, builds, and owns production-grade full-stack services and UI features for Finastra’s Azure-hosted lending platform. Responsibilities include developing C#/.NET and Angular applications, REST APIs, background services, event-driven integrations, secure and testable code, and CI/CD pipelines. The role contributes to architecture, technical documentation, code reviews, and system operational readiness while mentoring engineers. Daily use of GitHub Copilot and AI agents is expected, with strong judgment applied to all generated output.

Supports and improves DevOps infrastructure, CI/CD pipelines, deployment processes, monitoring, security remediation, and cloud platforms. Builds automation using infrastructure-as-code and scripting tools, troubleshoots production issues during on-call rotations, and supports developer teams across local and cloud environments.

Reviews real-time and retrospective card transactions to detect fraud, money laundering, terrorist financing, and suspicious activity. Investigates alerts, performs KYC reviews, documents evidence and case outcomes, recommends preventive actions, escalates risks, communicates with stakeholders, prepares management reports, identifies emerging fraud trends, and recommends improvements to monitoring rules and controls.

Build and maintain dbt SQL models, data pipelines, curated datasets, reports, and dashboards supporting state partners, customers, Finance, Operations, and executives. Own external and internal Metabase environments, support the data warehouse, and establish consistent metric definitions across technical and non-technical teams. The role also requires analytics support, stakeholder communication, and experience with Airflow, Python, and Git-based workflows.

Manages partnership operations, including monthly billing reconciliations, benefit administration, utilization reporting, member support, and partner communications. Maintains operational documentation and member-facing resources, troubleshoots complex billing and benefit issues, and coordinates cross-functional partner launches and system enhancements. Collaborates with Product, Technology, Finance, Marketing, Sales, and Member Success teams while supporting strategic initiatives and conference activities.

Design, develop, test, deploy, and support full-stack applications for an advertiser platform. Build and improve microservices, APIs, databases, and cloud-based systems while enhancing performance, scalability, reliability, security, and maintainability. Collaborate with engineers, product managers, and business stakeholders through code reviews, design discussions, troubleshooting, and Agile development. Use modern cloud, containerization, and AI-assisted coding tools to deliver reliable features and improve customer experiences.

Own the advisor lead-generation pipeline by conducting high-volume outbound phone, email, and SMS campaigns, qualifying inbound prospects, managing follow-ups, meeting lead-generation targets, and maintaining accurate HubSpot records. Partner with sales leadership to refine messaging, identify conversion patterns, and improve outreach processes. Serve as the first point of contact for prospective wealth-management clients.

Prepares, audits, reconciles, and files quarterly and annual payroll tax returns across multiple entities and states. Maintains tax agency accounts, withholding payments, wage bases, tax rates, and documentation. Resolves tax notices and discrepancies, prepares amended filings and agency registrations, processes payment requests, and ensures timely filing and compliance. The role also routes quarterly tax work, supports tax corrections and extensions, and trains team members as needed.

Owns full-cycle recruiting for Director-level, clinical, regional, executive, and specialized leadership roles. Responsibilities include sourcing passive candidates, advising executives and hiring managers, managing interviews and offers, coordinating onboarding with HR and IT, facilitating orientation, maintaining leadership talent pipelines, and supporting talent acquisition projects, process improvements, compensation research, and interview training.

Owns the infrastructure and production lifecycle for product and marketing machine learning models. Responsibilities include real-time model deployment, feature pipelines and stores, monitoring and alerting, CI/CD, retraining infrastructure, marketing model operationalization, data pipelines, ad-platform feedback loops, and dependency management. The role bridges data science and engineering while mentoring teammates and making pragmatic architecture decisions.