CEngineer – Risk Engineering

Job description

We are seeking an experienced C Engineer for our Risk Engineering team. As a C Engineer, you will work on developing solutions that enable real-time analysis of investment strategies. You will collaborate with our Risk Investment Risk Manager and other engineers to deliver solutions that support business success.

Tasks

The tasks include:

• Responsibility for the entire delivery process – from problem analysis to delivery and operation
• Participation in the planning, design, and delivery of long-term projects alongside experienced engineers
• The creation and maintenance of tools and services for risk management and data analysis
• Collaborating with risk officers and other engineering teams to develop solutions for investment risk
• Participation in code reviews and knowledge transfer among colleagues
• Continuous improvement of production components – reduction of technical debt, increase in delivery quality, and improvement in resource utilization
• Support for production and operating systems, as well as participation in support rotation

Requirements

The requirements include:

• Strong programming experience in C# and .NET
• Knowledge of database technologies (e.g., SQL Server, MongoDB, Clickhouse)
• .NET Core and Care experience, as well as experience with Linux and Windows platforms
• Strong delivery orientation with a focus on business value; code review, unit testing, continuous integration, and delivery
• Collaborative software development practices; code review, unit testing, continuous integration, and delivery
• Willingness and ability to work with AI/ML and AutoML development
• Analytical and problem-solving skills; clearly articulating ideas and dealing constructively with different opinions
• Willingness to learn new technologies, programming languages, and domain knowledge

Additional requirements (not required, but advantageous)

• Exposure to Python and its scientific ecosystem (e.g., NumPy, pandas, scipy)
• Experience with other technologies such as ETL and Kafka
• Knowledge of visualization tools (e.g., D3.js)
• Experience with DevOps tools; Kubernetes/Docker/K8s
• Experience with machine learning tools such as TensorFlow/PyTorch
• Previous experience with financial market data or alternative data

We offer

We offer:

• A modern office with free parking, easy access to transportation, and on-site amenities
• A hybrid work policy
• Attractive vacation entitlements
• Opportunities for professional development, including internal tech talks and external conference participation