Top Tech Jobs & Startup Jobs

Lead development of advanced analytics and machine-learning models, design algorithms from scratch, work with large datasets and relational databases, review audit findings, perform manual claims selection, generate selection queries, and potentially lead and manage a team.

Lead development and deployment of statistical and machine learning models, analyze large datasets using Python/SQL/PySpark, and translate insights into business strategy. Collaborate with cross-functional stakeholders, build dashboards and visualizations, and establish model development, validation, and deployment best practices while staying current on analytics trends.

Lead development and implementation of a credit risk valuation framework to optimize risk-reward for client portfolios. Set departmental goals, manage budgets, lead cross-functional teams, ensure regulatory compliance, perform statistical analysis and financial modeling, and drive credit risk strategy and team leadership.

Perform end-to-end end-date audits for long-assignment, manual timekeeping consultants: validate assignments, check compliance against client policies/contracts, identify discrepancies, coordinate remediation, prepare penalty impact reports, maintain trackers/dashboards, and share audit performance with internal and client stakeholders to reduce financial risk.

Deliver client and company-specific training, coach and mentor trainees, manage classroom discipline and attendance, assess calls/transactions against quality criteria, provide feedback, compile reports, handle training administration and stakeholder communication, and take calls as needed.

Provide administrative and office management support including coordinating schedules and meetings, supervising staff, handling correspondence and records, preparing reports, implementing policies, and maintaining internal communication and supplies.

Design, model, and manage Salesforce Data Cloud data objects and pipelines; write and optimize SQL queries; administer user roles and integrations; collaborate with CRM and external teams; troubleshoot end-to-end data issues; support Einstein/Agentforce capabilities and marketing integrations.

Perform data analysis to uncover trends, design analytical logic and data models, validate data and KPIs, and collaborate with stakeholders and engineering/BI teams to deliver scalable analytics and actionable insights.

Lead subsidiary financial statement preparation, SEC reporting (10-Q/10-K) support, SOX compliance, audits, accounting policy implementation, stakeholder partnership, and process improvements to ensure accurate, timely financial reporting.

Lead client engagements to deliver data, analytics, and AI-driven transformation; manage teams, develop client relationships, and drive business outcomes and growth.