Manager, Data Insights And Forensics

In a world of disruption and increasingly complex business challenges, our professionals bring truth into focus with the Kroll Lens. Our sharp analytical skills, paired with the latest technology, allow us to give our clients clarity—not just answers—in all areas of business. We embrace diverse backgrounds and global perspectives, and we cultivate diversity by respecting, including, and valuing one another. As part of One team, One Kroll, you'll contribute to a supportive and collaborative work environment that empowers you to excel. Our Data Insights & Forensics professionals are experienced advisors built on Kroll's DNA of risk and investigations. Traditional technologists (forensic data analysis and discovery) and data scientists converge with globally experienced fact-finding professionals to provide clients with unparalleled end-to-end technology, data analytics, and integrity solutions throughout the Compliance, Investigation and Litigation lifecycle. RESPONSIBILITIES The Manager will work as part of the Data Insights and Forensics practice. This role involves the ability to lead and assist teams in collaborative problem solving and execution. It also requires the individual to assist leadership to grow existing and build new client relationships and to bring their technical and commercial experience to shape the future of our practice. A fundamental understanding of structured and unstructured data analysis, and the correlation between the two is paramount. Working with teams on complex open-ended investigative projects to discover anomalies, unusual behaviours/trends, and to measure risks for the purposes of forensic and regulatory investigations, compliance, and litigation work. Example areas of work will include fraud, bribery and corruption, sanctions, money laundering, data governance and privacy, market abuse, insider trading and many more. Scoping, designing, and developing data engineering and analytic solutions using a range of tools and analytic techniques. Managing day-to-day activities of projects by interacting with consultants, supervisors, law firms and end‑clients. Elaborating proposals and reports related to Litigation Advisory and Data Analytics matters. Introducing additional Data Insights and Forensics services to clients as needed. Supporting research and development of products used on a range of projects. Coaching junior team members to provide career guidance and drive team and individual performance. Collaborating creatively with Kroll colleagues to create cross‑functional value‑add solutions with technology, data, and analytics components. REQUIREMENTS A minimum of 7 years' work experience with litigation support and analytic technologies, some of which is in the forensic and compliance area; proficient with data engineering fundamentals; strong stakeholder management skills; excellent written and verbal communications; commitment to obtaining outstanding results; delivering projects including budget planning and monitoring; Bachelor's degree in a relevant field, e.g., Computer Science, Mathematics, Finance, or other STEM education; understanding of financial and accounting system data; experience providing practitioner and/or advisory services within the Financial Services sector in the areas of Compliance, Investigations, and Litigation relating to Financial Crime. Significant experience in: Complex, defensible data discovery, collection, ingestion, and analysis. Design, development, and review of complex SQL and/or Python scripts. Scoping, drafting, and assisting in delivering client proposals in a manner that clearly explains our practice and the benefits of data and technology centric approaches. Demonstrable technical experience with several of the following: Databases: SQL Server, Oracle, MongoDB, Neo4j Scripting and exploration: Python, R, SQL Visualization: Power BI, Tableau, Data Studio, Spotfire Big data: Spark, Hadoop, Blockchain, Data Lakes Cloud computing: Azure, AWS Additional desired skills include: CAMS, CISSP, or Cloud Architecture (AWS/Azure) certifications. Unstructured data processing in platforms such as Relativity, digital reef, etc. Database back end and managed review experience with document review platforms such as Relativity. Experience in financial and accounting fraud investigations employing data analytics tools (e.g., Alteryx or ACL - SQL skills are desired). Understanding and/or development of machine learning approaches, including Natural Language Processing and pattern recognition techniques. Experience conducting model validations, controls testing and screening/monitoring system tuning and optimisation. #J-18808-Ljbffr