Associate, Data Insights and Forensics Job Vacancy in Kroll Mumbai, Maharashtra – Updated today

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Company Name : Kroll
Location : Mumbai, Maharashtra
Position :

Job Description : 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 (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.
Responsibilities:
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.
Key responsibilities will include the following:
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
Assisting with 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
Collaborating creatively with Kroll colleagues to create cross-functional value-add solutions with technology, data, and analytics components
Supporting the growth of our practice on recruitment initiatives including, resume reviews, candidate testing and interviewing
Requirements:
Proficient with data engineering fundamentals including data extraction, transformation and load using databases with large data volumes
Excellent written and verbal communications
Commitment to obtaining outstanding results, delivering high quality work with a client centric mindset
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)
Significant experience in the design, development, and review of complex SQL and/or Python scripts
Demonstratable 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
Complex, defensible data discovery, collection, ingestion, and analysis
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
In order to be considered for a position, you must formally apply via careers.kroll.com.
Kroll is committed to equal opportunity and diversity, and recruits people based on merit.

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