Top Tech Jobs & Startup Jobs

Lead a distributed reporting team to deliver BI solutions, run Agile ceremonies, partner with data engineering and stakeholders, design dashboards (Tableau/SSRS/AWS), implement ETL (SSIS), write Snowflake SQL, champion AI-assisted development, maintain production reporting SLAs, and ensure operational readiness, governance, and continuity for recurring regulatory and business reports.

Lead quality strategy for card processing: design layered quality sensors, improve E2E test suites, review PRs for test intent, identify coverage gaps, build load/performance frameworks, explore chaos engineering, and ensure auditability of AI-generated diffs and checks.

Develop, automate, and execute tests for React UI, NextJS middleware, and C# APIs. Build test automation across business domains, triage and prioritize work, mentor teammates, and collaborate with internal and external teams to ensure reliable, performant, and scalable Online Banking services.

The Accounting Analyst will drive accurate month-end closes, perform financial analysis, support accounting functions, and ensure compliance with internal controls.

Lead development, configuration, and technical strategy across Dynamics 365 and Power Platform. Design integrations, run technical workshops, translate business requirements into scalable configurations/customizations, reduce technical debt, and collaborate with architects and stakeholders to deliver CRM, Power Pages, Power Automate, and Power Apps solutions.

Lead portfolio surveillance and structured credit analysis for ABS/MBS and private credit positions. Build and maintain cash flow models, analyze collateral performance using Python/SQL, manage quarterly valuation allowances, automate reporting pipelines, mentor junior staff, and partner across teams to ensure consistent assumptions and timely risk escalation.

Lead second-line oversight of retained consumer credit risk and partner-originated consumer exposures. Develop risk appetite, KRIs/KPIs, independent reviews of underwriting and portfolio management, approve limits/reserves, monitor portfolios, and escalate emerging risks to senior leadership.

The Senior AI/ML Engineer will build scalable AI systems, work with LLMs, optimize models, and deploy solutions using AWS while ensuring ethical standards.

Support structured finance and portfolio decisions through quantitative analysis, cashflow modeling, and collateral evaluation. Build scalable Python/SQL tools, produce investor-ready analytics and presentations, and integrate AI/LLM use cases to improve underwriting, deal execution, and portfolio management.

Design and maintain a full-stack LLM-based platform, focusing on system performance, security, code quality, and team mentorship while integrating AI trends and optimizing processes.