Jobs at Kroll

Lead requirements gathering and write clear business and system requirements, translate needs into ADO Epics/Features/User Stories, validate with SQL and data analysis, manage ADO work items and Agile delivery, engage stakeholders, support integrations and API documentation, and improve BA processes and technical documentation.

The Scrum Master will lead Agile execution in Reporting delivery teams, managing dependencies, fostering Agile principles, and ensuring delivery adheres to compliance standards.

Join Kroll as a Data Scientist to build and evaluate ML models, supporting deployment and monitoring, while collaborating with experienced teams in financial services and data integrity challenges.

Lead design, implementation, and operationalization of enterprise DSPM across cloud, SaaS, hybrid, and on-prem environments. Configure discovery, classification, risk scoring, connectors, integrations (SIEM, SOAR, DLP, IAM, ServiceNow), and automation. Conduct technical assessments, remediation planning, governance maturity reviews, and produce documentation. Collaborate with cross-functional teams, mentor junior engineers, and develop reusable architectures, standards, and accelerators.

Support global valuation engagements for alternative and illiquid investments: build and review valuation models (DCF, comparables, option and loan valuations), manage client relationships and engagements, mentor staff, perform research and reporting, and produce industry and coverage reports.

The Senior Data Scientist will lead ML initiatives, develop production-grade data science solutions, mentor junior team members, and collaborate with stakeholders to address complex problems.

Lead and mentor a team of data scientists, overseeing ML initiatives and driving business impact through effective data science practices.

Support financial planning, reporting, and accounting tasks. Responsibilities include budgeting, forecasting, month-end close, and financial reporting.

Client-facing role delivering privacy operations and engineering support: operationalize privacy programs (ROPAs, PIAs/DPIAs, DSARs, consent, retention), implement and integrate privacy/GRC tooling, perform data mapping and governance, conduct assessments and remediation, and support automation, reporting, and cross-functional privacy controls across regulated enterprise environments.