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 company’s 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 https://lynxtech.com/
Skills Required
- 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)
- Experience scaling technology organizations (SaaS, enterprise software, fintech, fraud prevention, data/AI environments)
- Track record of leading multidisciplinary engineering, architecture, data and AI teams
- Experience in technology transformation, international growth and product evolution processes
- University degree in Computer Engineering, Telecommunications, Mathematics, Physics or related STEM discipline
- Strong knowledge of cloud-native architectures, microservices, distributed systems and high-availability platforms
- Experience deploying solutions on AWS and using Kubernetes
- Knowledge of Kafka
- Experience in Artificial Intelligence, Machine Learning, Data Platforms and 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 presenting technology solutions to enterprise executive stakeholders
- High level of English, both spoken and written
- Hands-on (practical technical involvement)
- Previous experience in financial crime, fraud prevention and AML
- Experience in product environments based on generative AI and advanced ML models
Santander Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Santander and has not been reviewed or approved by Santander.
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Retirement Support — A dollar‑for‑dollar 401(k) match up to 6% of eligible pay and immediate vesting are highlighted as core strengths, supporting long‑term savings. This is reinforced by company‑paid disability and life/AD&D coverage that bolster financial security.
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Leave & Time Off Breadth — Paid time off typically ranges from 18–30 days in the U.S. with 11 paid holidays, plus dedicated volunteer and development time; the UK features a minimum of 25 days with buy/sell options. Some roles also use self‑managed PTO, offering additional flexibility depending on team norms.
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Parental & Family Support — U.S. parental benefits include 8 weeks paid for all parents and a total of 16 weeks paid for birth mothers, with flexibility for reduced hours around childbirth. Caregiver leave and dependent‑care programs add further family support.
Santander Insights
What We Do
Banco Santander (SAN SM, STD US, BNC LN) is a leading commercial bank, founded in 1857 and headquartered in Spain and one of the largest banks in the world by market capitalization. The group’s activities are consolidated into five global businesses: Retail & Commercial Banking, Digital Consumer Bank, Corporate & Investment Banking (CIB), Wealth Management & Insurance and Payments (PagoNxt and Cards). This operating model allows the bank to better leverage its unique combination of global scale and local leadership. Santander aims to be the best open financial services platform providing services to individuals, SMEs, corporates, financial institutions and governments. The bank’s purpose is to help people and businesses prosper in a simple, personal and fair way. Santander is building a more responsible bank and has made a number of commitments to support this objective, including raising €220 billion in green financing between 2019 and 2030. In the first quarter of 2024, Banco Santander had €1.3 trillion in total funds, 166 million customers, 8,400 branches and 211,000 employees.
