Top Tech Jobs & Startup Jobs

Acquires and retains affluent private banking clients, deepens relationships, and leads client teams in delivering integrated wealth, credit, banking, and asset management solutions. Develops business through prospecting and internal and external partnerships, provides trusted advisory recommendations, manages client experiences, and identifies opportunities for engagement. The role requires securities licensing, extensive private banking or financial services experience, strong sales and negotiation skills, and potential SAFE Act registration for mortgage origination.

Conduct quantitative financial risk analytics, stress testing, statistical analysis, and model development for banking risk and capital requirements. Develop and implement governed Python models, analyze large datasets, document methodologies for internal and regulatory use, support model validation and risk management, and collaborate with stakeholders and senior management. Contribute to loss forecasting, regulatory models, process improvements, and innovative modeling approaches.

Conducts market risk stress testing, quantitative modeling, statistical analysis, and model risk management. Develops Python- and SQL-based production solutions, automates forecasting and model execution workflows, validates data and model outputs, investigates production issues, and supports regulatory, audit, governance, and reporting requirements. Collaborates with technology, quantitative, operational, and business teams on model implementations, enhancements, migrations, and continuous process improvements.

Designs, develops, tests, and implements scalable software, data pipelines, analytical tools, and AI-enabled solutions for Global Risk Management. Applies quantitative methods to financial data, risk modeling, testing, regulatory requirements, and process automation. Collaborates with modelers, risk managers, process owners, data owners, and technology teams to assess processes, identify risks, and deliver governed, auditable, and continuously improved analytical capabilities.

Leads complex risk and data analyses supporting operational controls, portfolio trends, reporting, and regulatory requirements. Identifies data quality issues, process weaknesses, operational risks, and improvement opportunities using analytics, automation, AI-enabled tools, and quantitative methods. Partners with business, risk, finance, technology, operations, and audit stakeholders to resolve issues, improve processes, deliver reporting and visualizations, and strengthen governance and controls.

Designs and implements scalable software components, data pipelines, analytical solutions, testing frameworks, and AI-enabled capabilities for Global Risk Management. The role analyzes financial data, applies quantitative risk methods, supports regulatory requirements, automates processes, and collaborates with modelers, risk managers, process owners, and technology teams. Responsibilities include data sourcing and validation, software development, risk assessment, AI governance, monitoring, and continuous improvement of analytical tools.

Performs complex risk, data, and process analyses to identify operational risks, data quality issues, control weaknesses, and improvement opportunities. Develops reporting, visualizations, queries, and analytical models for risk and business stakeholders; monitors portfolio and loss trends; investigates control alerts; supports issue remediation and regulatory reporting. Partners cross-functionally with finance, operations, technology, audit, and risk teams while providing subject-matter expertise and mentorship.

Designs, develops, tests, and implements scalable software components, big data pipelines, quantitative models, and testing frameworks for global risk analytics. Works with modelers, risk managers, and technologists to address financial data, regulatory, and business requirements. Responsibilities include sourcing modeling data, optimizing distributed systems, applying quantitative methods, automating processes, documenting models and tests, and continuously enhancing analytical capabilities.

Design, develop, test, and deliver backend payments platform software. Maintain architecture integrity, build automated tests and CI/CD pipelines, perform spike/proofs-of-concept, mentor engineers, and automate release activities while meeting compliance and non-functional requirements.

Designs and implements scalable software, data pipelines, analytical tools, and testing capabilities for Global Risk Management. The role applies quantitative methods, software engineering, data engineering, AI development, and risk management to financial data and regulatory requirements. Responsibilities include analyzing data and controls, collaborating with risk managers and technology teams, building automated solutions, and supporting AI governance, observability, auditability, and continuous improvement.