Top Tech Jobs & Startup Jobs

Develop and support AS400 and .NET applications, analyze requirements, design solutions, code, unit test, and promote changes across environments using Turnover. Provide production support, troubleshoot customer-reported issues, communicate with Asia-region customers, identify proactive solutions, and submit weekly management status updates.

Develop fraud scores, statistical models, machine learning algorithms, and analytical products using credit bureau, transactional, and alternative data. Apply regression, AI/ML, segmentation, and champion-challenger techniques to fraud prevention solutions. Extract and blend complex datasets, document model development, support validation and deployment, and collaborate with product, compliance, risk, technology, and global analytics teams.

Supports government-focused financial planning and analysis through financial modeling, budgeting, forecasting, pipeline analytics, variance analysis, and revenue performance tracking. Partners with Sales, Technology, Operations, and Accounting leaders to evaluate initiatives, monitor results, and improve forecast accuracy. Builds Tableau dashboards and Google Suite visualizations while using AI tools and workflow automation to streamline reporting and predictive modeling.

Supports global financial planning through analysis, budgeting, forecasting, reporting, and operational performance review. Prepares expense, service fee, and staffing forecasts; identifies variances and improvement opportunities; consolidates data with cross-functional teams; maintains financial data integrity; and contributes to financial projects and reporting automation.

Provides 24/7 monitoring and incident management for customer-facing and internal applications and infrastructure. Identifies potential incidents, mitigates service degradation, escalates issues to specialized support teams, and coordinates with business sponsors, project managers, application support, networking, systems administration, and business owners.

Manages a Customer Success team and strategic enterprise accounts, serving as a trusted advisor and coordinating post-sales support, adoption, customer health, retention, renewals, and account expansion. Coaches Customer Success Managers, monitors usage and risk indicators, establishes success criteria, resolves complex issues cross-functionally, influences product roadmaps, and identifies growth opportunities.

Owns and improves core business processes while managing internal projects and programs. Responsibilities include developing and updating policies, procedures, and end-to-end process documentation; coordinating with business, legal, compliance, and cross-functional teams; identifying process improvements; ensuring consistency across channels; and delivering projects on schedule. The role requires financial industry knowledge and may involve Salesforce, e-OSCAR, credit disputes, and consumer credit regulatory requirements.

Develop and maintain scalable backend-to-UI applications using Java, Python, JavaScript, cloud technologies, microservices, CI/CD, and infrastructure as code. Perform testing, deployments, documentation, troubleshooting, performance optimization, and issue resolution. Participate in requirements analysis, estimation, architecture and roadmap discussions, agile planning, system integration, and sprint delivery. Collaborate across teams while focusing on security, scalability, operational excellence, and software quality.

Owns and prioritizes technical product backlogs, translates customer and business needs into technical requirements, facilitates Agile planning and ceremonies, manages dependencies and sprint delivery, defines acceptance criteria, supports testing and demos, and applies feedback and adoption metrics to improve future releases. Partners closely with Product Management, Engineering, QA, Architecture, and stakeholders in a cloud-based or SaaS environment.

Configure, operate, and monitor high-volume batch data delivery workflows on Google Cloud using Apache Airflow. Execute data pipelines, validate data quality, troubleshoot configuration and scheduling issues, maintain documentation, and support client fulfillment inquiries. Collaborate with Engineering and Data Operations, follow security and SDLC practices, and contribute to process automation and improvement. The role may provide production incident support and requires familiarity with cloud platforms, data processing, configuration files, APIs, scripting, and monitoring tools.