About Finom

Finom is a European tech startup headquartered in Amsterdam—and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.

Over the past two years, our team has fuelled exponential growth, securing $50 million in investments and propelling us into hyper-growth mode. We’re on track to become a unicorn start-up by 2025, backed by global funds like General Catalyst (known for supporting Airbnb, HubSpot, KAYAK, and Stripe). Finom has expanded its reach across 10+ EU countries, with a strong presence in key markets like Germany and France.

At Finom, we’re not just redefining the entrepreneurial experience—we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.

Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.

We seek a visionary and charismatic leader to join our innovative fintech company as the Head of Machine Learning and Data Science. In this role, you will be able to transform our Data Warehouse, optimize ETL processes, and implement cutting-edge machine learning models to combat fraud and personalize customer experiences. If you have a passion for big data, cloud platforms, and leading a talented team, we want you!

What You Will Be Doing

1. Strategic Management of Data and Modeling:

• Develop and implement data management and machine learning strategies to enhance business performance.
• Introduce advanced data analysis and machine learning methods to solve business challenges.
  
  

2. Proactive Development of Data and Modeling:

• Identify opportunities for leveraging data and modelling to improve the efficiency of various company functions.
• Develop and implement initiatives aimed at increasing revenue through data analysis and processing.
  
  

3. Integrating Data into Business Processes:

• Ensure that data and analytical models are actively used in business decision-making.
• Collaborate with leaders of various departments to integrate data into their operational processes.
  
  

4. Enhancing Operational Efficiency:

• Optimize existing processes based on data analysis.
• Implement new technologies and approaches to improve company operations.
  
  

5. Driving Revenue Growth:

• Develop and execute projects aimed at increasing revenue through the use of data and machine learning.
• Analyze data to identify opportunities for revenue growth and cost optimization.
  
  

WHO YOU ARE

1. Experience and Knowledge:

• Deep understanding of data and modelling and their impact on business performance.
• Experience in developing and implementing data and machine learning strategies in a company.
• Experience with Python and libraries (TensorFlow, PyTorch)
• Experience in creating and managing CI/CD infrastructure
• Knowledge and experience with Databricks and Spark.
  
  

2. Skills:

• Ability to analyze large volumes of data and build predictive models.
• Expertise in integrating data into business processes and making data-driven decisions.
• Proficiency with big data and database management systems (SQL, NoSQL)
• Skills in working with cloud platforms (AWS, Google Cloud)
  
  

3. Leadership Qualities:

• A proactive approach to developing data and modelling direction.
• Ability to lead a team of analysts and machine learning specialists.
• Ability to work effectively in a multitasking environment and make quick decisions.
• Strong communication and presentation skills.
  
  

4. Education:

• Higher education in computer science, mathematics, statistics, or related fields.
  
  

Join us to be at the forefront of fintech innovation, where you will play a crucial role in crafting a groundbreaking product that redefines industry standards and excites the European market. If you are ready to shape the future of fintech, apply now and become part of a team that is making a difference!

What You Will Get In Return

Make a genuine impact on the product

Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.

Work in the EU

Embark on this exciting journey with us, working from our elegant offices in Paphos (Cyprus) and Amsterdam (the Netherlands), with upcoming hubs in Poland and Spain. Enjoy the flexibility of traveling and working in a remote/hybrid model across Europe.

Become a stock options holder

Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.

Receive unwavering support and care

Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.

Work & Swim program

Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.

Next Steps

Your application will be reviewed and if successful, a member of the Talent Acquisition Team will be in touch within the next few days.

Standard interview process:

• Application Review - 3 - 5 days
• Recruiter Interview - 30 min -45 min
• Hiring Manager Interview - 45 min - 1 hour
• Test Task - up to 1 hour
• Final Interview - 45 min - 1 hour
• Offer
  
  

Please note the order and duration of each step can vary depending on the type of position and seniority level.

Equal Opportunity Statement

At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.