Top Tech Jobs & Startup Jobs

Analyzes large-scale financial transaction data to identify patterns, anomalies, revenue opportunities, and risk-management insights. Supports THOR data product development, feature engineering, quality assurance, testing, documentation, production validation, and user support. Uses SQL, SAS, Teradata, statistical methods, and machine learning techniques while collaborating with technical and business stakeholders. The role also contributes to data visualization, presentations, training materials, and analytical solutions supporting regulatory compliance and operational efficiency.

Supports risk data and technology initiatives through portfolio and loss trend analysis, reporting, data modeling, database development, data quality remediation, and control monitoring. Collaborates with data stewards, business stakeholders, architects, and technology teams to document processes, data lineage, controls, and requirements; identify deficiencies; recommend solutions; and support risk management, regulatory reporting, and operational resiliency.

Manages and grows treasury revenue across global healthcare corporate clients. Develops customized liquidity, payments, receivables, foreign exchange, trade, and commercial card solutions in partnership with bankers and product specialists. Leads client planning, prospecting, pricing, negotiations, presentations, portfolio development, and digital payments adoption while maintaining strong client relationships and profitability. Requires extensive treasury management sales experience, corporate relationship management, executive communication, and frequent travel.

Enters a structured training program to obtain SIE, Series 7, and Series 66 licenses, then advises banking and investment clients. Builds and manages client relationships, identifies financial needs, recommends solutions, conducts client reviews, develops referrals, and collaborates with banking and investment partners. The role requires SAFE Act registration, strong communication, multitasking, adaptability, and a results-focused approach to client service.

Develop and deploy data science, machine learning, and AI solutions for risk, compliance, technology, and operational challenges. Analyze large datasets, build quantitative models and GenAI applications, document and test analytical solutions, and communicate findings to stakeholders. The role uses Python, SQL, LLM frameworks, Agile practices, CI/CD, and modern software engineering techniques while supporting model governance, risk management, automation, and enterprise analytics.

Conducts quantitative analytics, market risk stress testing, model development and validation, portfolio analysis, forecasting, and risk modeling. Develops analytical methodologies and decision-support tools, analyzes large datasets and macroeconomic trends, and communicates findings to senior leadership, governance stakeholders, and regulators. Partners with Risk, Business, Technology, and Analytics teams to deliver scalable solutions, strengthen risk identification, and support regulatory and enterprise risk-management requirements.

Supports risk data analysis, reporting, portfolio and loss trend modeling, database and query development, data quality remediation, control monitoring, and ad hoc reporting. The role also coordinates data governance initiatives, regulatory and audit commitments, stakeholder communications, process optimization, and alignment of risk data programs with enterprise strategy.

Analyzes risk data, portfolio and loss trends, data flows, business processes, and operational controls to identify risks, anomalies, data-quality issues, and improvement opportunities. Develops reporting, dashboards, queries, databases, and visualizations; supports risk analytics, control monitoring, issue remediation, and regulatory reporting. Partners with business, finance, technology, audit, and operations stakeholders to improve data integrity, process effectiveness, risk management, and operational resiliency.

Leads architecture for Security Operations and Threat Response initiatives. Defines target-state architecture, security strategy, standards, integration patterns, and technology roadmaps. Aligns detection, investigation, automation, and threat intelligence capabilities; governs technical reviews; designs secure integrations across cloud and cybersecurity platforms; and evaluates emerging AI-driven security technologies.

Completes securities licensing through structured training, then develops client relationships, assesses financial needs, provides comprehensive advice, presents investment strategies, and connects clients with banking and Merrill solutions. The role requires prospecting, referral management, portfolio relationship growth, collaboration with banking partners, and compliance with SAFE Act registration requirements. The schedule is Monday through Friday with some Saturdays, and work is primarily in-office at assigned financial centers.