Software Engineer – Risk Technology @ Link Group

Software Engineer – Risk Technology

Join a team that develops advanced technology solutions for the Risk domain. As a Software Engineer, you will build modern, scalable cloud-based systems that support market modeling, risk analytics, and decision-making processes for key business stakeholders.

Why Join Us?

• Opportunity to work with modern cloud technologies and advanced analytics.
• Direct impact on the technological development of the risk function.
• Fast-paced environment with high ownership and strong growth opportunities in a global organization.

• 7+ years of software engineering experience (preferably in financial services).
• Strong proficiency in Python and experience with distributed systems and big data technologies.
• Understanding of derivatives, financial markets, and risk analytics.
• Experience working with SQL, Pandas, REST APIs, and cloud environments (AWS is a plus).
• Familiarity with technologies such as Kafka, Redis, MongoDB, or MS SQL.
• A technical degree in Computer Science or a related field.

Software Engineer – Risk Technology

Join a team that develops advanced technology solutions for the Risk domain. As a Software Engineer, you will build modern, scalable cloud-based systems that support market modeling, risk analytics, and decision-making processes for key business stakeholders.

Why Join Us?

• Opportunity to work with modern cloud technologies and advanced analytics.
• Direct impact on the technological development of the risk function.
• Fast-paced environment with high ownership and strong growth opportunities in a global organization.

,[Design and develop systems for risk analytics, market data processing, and automated reporting., Work with large datasets and high-performance distributed systems., Collaborate with business teams, quantitative modelers, and analysts to deliver solutions that drive the growth of the risk function., Improve and automate risk management processes.] Requirements: Python, SQL, Pandas, REST API, Kafka, Redis, MongoDB, MS SQL, AWS