VP Engineering

Lynx Financial Crime Tech is looking for a VP Engineering for our Madrid offices.

WHY YOU SHOULD CONSIDER THIS OPPORTUNITY

Lynx Financial Crime Tech S.A. We are an AI-driven software company specializing in detecting and predicting behavioral patterns. Led by industry experts and academics we develop and implement cutting-edge self-learning AI technologies. Our platform excels in low latency transaction processing technologies and is available both on-premise and on the cloud.

We prioritize VISION AGILITY and SPEED to provide outstanding customer experiences and have built long-lasting trustworthy relationships with some of the top financial institutions fintechs and commercial enterprises worldwide.

We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management.

Our mission is to contribute to help more people and businesses prosper. We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management.

Lynx is proud of being an organization where there are equal opportunities regardless of age gender disability civil status race religion or sexual orientation.

WHAT YOU WILL BE DOING

As VP Engineering your objective will be to lead the engineering organisation to transform the business vision into scalable high-impact products driving innovation operational excellence and the development of high-performing teams.

We need someone like you to help us in the following areas:

• Collaborating in the definition and execution of the companys technology strategy aligning it with its business growth and globalization objectives.
• Leading the Engineering Architecture and Data & AI teams fostering a culture of high performance and continuous improvement innovation collaboration and technical excellence.
• Developing the technology architecture and product platform to ensure scalability resilience security and capacity for global growth.
• Driving innovation in Artificial Intelligence Machine Learning and advanced analytics identifying new opportunities to generate value for customers and the business.
• Working closely with the CTO Product Sales and other areas to translate corporate strategy into differentiated technology capabilities.
• Defining engineering architecture quality security and technology governance standards that enable the organization to scale efficiently.

EXPERIENCE

• 10 years of experience in technology software engineering or data platforms.
• At least 5 years in executive technology leadership positions (VP Engineering Chief Architect or similar).
• Demonstrable experience scaling technology organizations such as SaaS companies enterprise software fintech fraud prevention-related sectors or data and AI-related environments.
• Track record of leading multidisciplinary engineering architecture data and artificial intelligence teams.
• Experience actively participating in technology transformation international growth and product evolution processes.

EDUCATION

• University degree in Computer Engineering Telecommunications Mathematics Physics or related STEM disciplines.

SKILLS & KNOWLEDGE

• Strong knowledge of cloud-native architectures microservices distributed systems and high-availability platforms.
• Experience deploying solutions on AWS and using Kubernetes. Knowledge of Kafka will also be valued.
• Experience in Artificial Intelligence Machine Learning Data Platforms and solutions based on advanced analytics.
• Knowledge of lean and agile methodologies DevOps CI/CD observability and system reliability.
• Excellent leadership communication and influencing skills in multicultural fast-growing environments.
• Experience working with enterprise clients and presenting technology solutions to executive stakeholders.
• High level of English both spoken and written.
• Hands-on

OTHER INFORMATION

• Availability to travel occasionally to visit clients and attend strategic events in Spain and internationally.
• Previous experience in sectors related to financial crime fraud prevention and anti-money laundering (AML) is highly desirable.
• Experience in product environments based on generative AI and advanced machine learning models will be valued.

If you want to know more about us visit our website Experience:

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