Our Data Insights & Forensics 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.
At Kroll, your work will help deliver clarity to our clients’ most complex governance, risk, and transparency challenges.
Apply now to join One team, One Kroll.
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.
Key responsibilities will include the following :
Working with teams on complex open-ended investigative projects to discover anomalies, unusual behaviors / 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
Preparing project reports, presentations, visualizations, and technical documentation
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
Enhancing our practice’s market presence with thought leadership, conference / seminar representation and targeted client interaction
Supporting the growth of our practice on recruitment initiatives including, resume reviews, candidate testing and interviewing
A minimum of 5 years’ work experience with database architecture, mapping, and analytic technologies, some of which is in the forensic and compliance area
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
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)
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 analysisDesign, development, and review of complex SQL and / or Python scriptsScoping, drafting, and assisting in delivering client proposals in a manner that clearly explains our practice and the benefits of data and technology centric approaches
Demonstratable technical experience with some of the following : Databases : SQL Server, Oracle, MongoDB, Neo4jScripting and exploration : Python, R, SQLVisualization : Power BI, Tableau, Data Studio, SpotfireBig data : Spark, Hadoop, Blockchain, Data LakesCloud computing : Azure, AWS
Additional desired skills will include the following :
CAMS, EnCE, 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
Knowledge and application of statistical techniques
Understanding and / or development of machine learning approaches, including Natural Language Processing and pattern recognition techniques
Experience of conducting model validations, controls testing and screening / monitoring system tuning and optimisation