Usamos cookies técnicos e o registro de visitas anonimizado do Zorky. O Yandex Metrica (dados armazenados em servidores na Rússia) só funciona com o seu consentimento. Nunca vendemos dados. Mais sobre cookies e estatísticas.
O Zorky está em modo de teste — tudo é gratuito. As vagas e as páginas das empresas são abertas a todos; os links dos anúncios e sua seleção pessoal abrem após o cadastro. Cadastre-se →
← Todas as vagas

Data Analyst - Forensics, Technology, Investigations & Discovery

Senior~$7.5K /mo4 Locationshá 1 d
Análises de mercado
📊 Data Engineering: salários e demanda no mercado
Stack
azureclouddevopshadoopjavakubernetesoraclepysparkpythonsparksql
Detalhes
Práticas
DevOps
Formação
Bacharelado
Mostrar empresa e link
Grátis, depois de entrar.
Candidatar-se
Envie seu currículo: empregadores e recrutadores de vários países que procuram o seu perfil poderão falar com você diretamente.
Enviar seu currículo →
Descrição

We Do Consulting Differently With a team of industry specialists and experts in forensic accounting and global investigations, discovery and forensic technology, M&A and private equity disputes, and cybersecurity and investigations, BRG's Disputes & Investigations practice is a leader in the areas that can impact business most significantly. BRG was ranked as a "Top Economics Consultancy" by Global Competition Review for the eleventh consecutive year. We have also been recognized among Consulting Magazine's "Best Firms to Work For" for the fourth consecutive year.

Our FTID (Forensics, Technology, Investigations & Discovery) practice is rapidly growing, and we are seeking a Senior Associate who can demonstrate a thorough level of knowledge and/or a proven record of success as an individual contributor or team leader involving fraud risk, fraud prevention and detection, and/or data analytics, preferably within a global network of professional services firms in the following areas: Leveraging thorough knowledge of SQL, Python or R, data science skills, supervised and unsupervised machine learning, and social network analysis; Demonstrating considerable experience with big data tools such as Hadoop and PySpark, cloud computing, and cloud machine learning tools; Knowledge of the anti-fraud business domain in the e-commerce, payments, healthcare, and banking industries; Demonstrating considerable ability to develop fraud detection rules and/or models deployed in systems such as Act

Descrição completa, empresa e link para se candidatar: depois de entrar. Entrar
Os contatos do empregador (e-mail/telefone/telegram) ficam ocultos na prévia pública. Envie seu currículo para que os empregadores possam falar com você diretamente.
Denunciar esta vaga
Pergunta urgente? Escreva para @termdocs