Manager, Data Insights and Forensics - Sao Paulo, Brasil - Kroll

Kroll

Empresa verificada

Sao Paulo, Brasil

há 3 semanas

Postado por:

Ana Silva

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Descrição

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.

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 many more
Scoping, designing, and developing data engineering and analytic solutions using a range of tools and analytic techniques
Manage daytoday activities of projects by interacting with consultants, supervisors, law firms and endclients
Elaborate proposals and reports related to Litigation Advisory and Data Analytics matters
Introduce 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 crossfunctional valueadd 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 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 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
Demonstratable 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 will include the following:

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 tolls (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 of conducting model validations, controls testing and screening/monitoring system tuning and optimisation
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