The Risk Data Analyst will collect and analyze data related to credit risk, maintain databases, conduct validation checks, and provide insights for senior management.

The Data Science Lead will oversee machine learning projects in Credit Risk, lead a team, collaborate with stakeholders, and ensure solutions meet business goals.

The Head of Sales AI will coordinate development of the Sales AI product, manage project plans, collaborate with stakeholders, and ensure quality assurance.

Develop ML models for credit risk, lead projects, analyze datasets, communicate solutions, assist in team development.

Develop and optimize PL/SQL codes, support stored procedures and functions, analyze performance, and document development processes.

The Reporting Engineer prepares and analyzes reports for various departments, suggesting new reporting methods and ensuring data accuracy.

The System Analyst will model business processes, design systems and REST APIs, create technical assignments, and interact with contractors. They will also analyze incidents and optimize processes to improve product delivery.

Manage and optimize IT operations, lead a team to maintain IT infrastructure, and develop strategies aligned with business goals.

Design and construct data pipelines, support ETL processes, collaborate with teams on data requirements, maintain data quality, and ensure compliance with regulations.

The IT Customer Support Specialist will troubleshoot technical issues, conduct diagnostics, and assist users with hardware and software needs while collaborating with teams.

The Data Analyst will acquire, preprocess, and analyze data to support AI model development, working with teams to provide insights and improve performance.