Associate, Data Insights and Forensics

Job Description

Our professionals balance analytical skills, deep market insight and independence to deliver solid, defensible analysis and practical advice to our clients. As an organization, we value the diverse backgrounds and perspectives that enable us to think globally. We create transparency in an opaque world, and we encourage our people to do the same. That means when you join our team, you’ll become part of a supportive and collaborative work environment that empowers you to excel. If you’re ready to share your perspective with the world, then you can make a real impact here. This is the Kroll difference.<br>Our Data Insights &amp; 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.<br>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.<br>RESPONSIBILITIES<br>The Associate will work as part of the Data Insights and Forensics practice. This role involves the ability to 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.<br>Key responsibilities will include the following:<br>- 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 much more<br>- Assisting with scoping, designing, and developing data engineering and analytic solutions using a range of tools and analytic techniques<br>- Preparing project reports, presentations, visualizations, and technical documentation<br>- Supporting research and development of products used on a range of projects<br>- Collaborating creatively with Kroll colleagues to create cross-functional value-add solutions with technology, data, and analytics components<br>- Supporting the growth of our practice on recruitment initiatives including, resume reviews, candidate testing and interviewing<br>REQUIREMENTS:<br>- Work experience in database architecture, mapping, and analytic technologies, some of which is in the forensic and compliance area<br>- Proficient with data engineering fundamentals including data extraction, transformation and load using databases with large data volumes<br>- Excellent written and verbal communications<br>- Commitment to obtaining outstanding results, delivering high quality work with a client centric mindset<br>- Bachelor’s degree in a relevant field, e.g., Computer science, Mathematics, Finance, or other STEM education<br>- Understanding of financial and accounting system data (e.g., ERP, trading, compliance)<br>- Experience in the design, development, and review of complex SQL and/or Python scripts<br>- Demonstratable technical experience with some of the following: – Databases: SQL Server, Oracle, MongoDB, Neo4j<br>- Scripting and exploration: Python, R, SQL<br>- Visualization: Power BI, Tableau, Data Studio, Spotfire<br>- Big data: Spark, Hadoop, Blockchain, Data Lakes<br>- Cloud computing: Azure, AWS<br>- Complex, defensible data discovery, collection, ingestion, and analysis<br><br>Additional desired skills will include the following:<br>- CAMS, EnCE, CISSP or Cloud Architecture (AWS/Azure) certifications<br>- Unstructured data processing in platforms such as relativity, digital reef, etc.<br>- Database back end and managed review experience with document review platforms such as Relativity<br>- Knowledge and application of statistical techniques<br>- Understanding and/or development of machine learning approaches, including Natural Language Processing and pattern recognition techniques<br>- Experience of conducting model validations, controls testing and screening/monitoring system tuning and optimization<br>In order to be considered for a position at Kroll, you must formally apply via careers.kroll.com<br>Kroll is committed to creating an inclusive work environment. We are proud to be an equal opportunity employer and will consider all qualified applicants regardless of gender, gender identity, race, religion, color, nationality, ethnic origin, sexual orientation, marital status, veteran status, age or disability.