Description

Title : Data Risk Engineer (Hybrid)

Duration : 12 Months+

Location : Chicago, IL

NOTE: Need a local candidate.

This role is vital in ensuring risk data is collected, transformed, and made readily available for analysis and decision-making processes.

Requirements for the Risk Data Engineer:

·         5-10 years experience working in similar position

·         Experience leading efforts to structure and organize data and collaborate with data experts to implement effective data models and schemes

·         Experience in data orchestration, ETL processes, and data integration

·         Experience with C++ & SQL

·         Familiarity with DevOps way of working and CI/CD

·         Past experience with designing a risk system, able to confirm understanding of concepts

·         Understanding of high level risk systems and must be able to design these systems

·         Knowledge of Kafka (for event driven risk calculations), security considerations, scalability considerations

·         Strong knowledge of data transformation, data quality, and data governance

·         Experience working in an agile environment and with agile practices

·         Capable of collaborating with global team members, which may involve off-hour meetings

·         Able to work independently and develop effective solutions

Key Skills

Education

Bachelors