Senior Director, Data Insights and Forensics

We’re looking for a Senior Director to support our Cyber & Data Resilience practice with a focus on Financial Crime Data Resilience. 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.

Our Cyber & Data Resilience professionals are experienced advisors built on Kroll’s DNA of risk and investigations. Traditional technologists (forensics, data analysis, 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.

Day to Day Responsibilities:

• Leading business development initiatives including opportunity identification, proposal preparation, and pitch delivery.
• Collaborating creatively with Kroll colleagues to create cross-functional value-add solutions with technology, data, and analytics components.
• Enhancing our practice’s market presence with thought leadership, conference/seminar representation, and targeted client interaction.
• Leading teams on complex investigative and advisory projects across various domains, including financial crime, data governance, and more. Demonstrated ability to manage and execute projects in areas of financial crime including fraud, bribery and corruption, sanctions, money laundering, data governance and privacy, market abuse, and insider trading.
• Scoping, designing, and developing data engineering and analytic solutions using a range of tools and analytic techniques.
• Preparing project reports, presentations, visualizations, and technical documentation.
• Supporting research and development of products used on a range of projects.
• Managing workstreams on multiple client and internal projects and delegating activities to junior team members.
• Coaching junior team members to provide career guidance and drive team and individual performance.
• Supporting the growth of our practice on recruitment initiatives including resume reviews, candidate testing, and interviewing.
• Working closely with our Financial Crime Data Compliance and Investigations global leader and broader C&DR leadership.

Essential Traits:

• A minimum of 12 years’ work experience with database architecture, mapping, and analytic technologies, some of which is in the forensic and compliance areas.
• Proficient with data engineering fundamentals including data extraction, transformation, and load using databases with large data volumes.
• Strong stakeholder management skills.
• Excellent written and verbal communications.
• Commitment to obtaining outstanding results, delivering high-quality work with a client-centric mindset.
• 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.
• Managing and 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 (e.g., ERP, trading, compliance).
• Understanding of financial crime regulatory requirements, including knowledge of fraud, bribery and corruption, sanctions, money laundering, data governance and privacy, market abuse, and insider trading

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 some 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 will include the following:

• CAMS, CFCS, CFE, CISSP, CAIP, or Leading Complex Investigations Certificate.
• Knowledge and application of statistical techniques.
• Understanding and/or development of machine learning approaches, including Natural Language Processing and