Fraud Detection ML Scientist - Production & Impact in Catalunya, Spain
Moniepoint Inc.
is actively recruiting a skilled Data Scientist to join its dedicated fraud detection unit in Catalunya, Spain.
This exciting opportunity involves developing and deploying advanced machine learning models, conducting rigorous experimentation, and identifying critical fraud signals to safeguard millions of users across the company's comprehensive platform.
The role demands a proactive approach to prototyping, evaluating, and continuously monitoring model performance, fostering collaboration with engineers, product managers, and analysts to translate key insights into robust, production-ready fraud mitigation strategies.
A strong foundation in statistical analysis coupled with exceptional Python and SQL proficiency is paramount for success in this position.
Successful candidates will play a vital role in enhancing platform security and user trust through innovative data science solutions.
| Jobs Date Posted: | 03 November, 2026 |
| Jobs Last Date to Apply: | 18 December, 2026 |
| Industry: | Financial Technology |
| Jobs Industry Type: | Private |
| Job Hiring Organization: | Moniepoint Inc. |
| Occupational Category: | Data Science |
| Employment Type: | full-time |
| Advertisement Source: | Eurojobs |
| Job Location: | Catalunya |
| Country of Appointment: | Spain |
| Employer Department: | Fraud Detection Team |
| Employer Contact Phone: | 03012861919 |
Further Details
This private sector opportunity for a Data Scientist focuses on building and deploying impactful machine learning models within the financial technology domain, specifically targeting fraud detection. The role emphasizes translating complex data findings into actionable strategies that protect a vast user base. Key responsibilities include prototyping, experimental design, and rigorous model evaluation to ensure the highest level of fraud mitigation. Collaboration across multidisciplinary teams is integral to success. Ideal candidates will possess a robust statistical background and advanced programming skills in Python and SQL. The position offers a chance to contribute significantly to the security and integrity of a leading financial platform, demanding a proactive and analytical mindset to tackle evolving fraud challenges. This is a prime opportunity for a Data Scientist looking to make a tangible impact. Explore these immediate vacancies with competitive benefits.
Data Scientist - Fraud Detection for Production & Impact
Moniepoint Inc. is seeking a dedicated Data Scientist to join its dynamic team in Catalunya, Spain. This role is crucial for developing and deploying advanced machine learning models aimed at combating financial fraud across the platform. Additionally, Moniepoint Inc. jobs Catalunya are available for qualified candidates. You will be instrumental in running experiments, identifying critical fraud patterns, and implementing effective strategies to protect millions of users. This position offers a unique chance to contribute to a high-impact area within the financial technology sector.
The ideal candidate will possess a strong statistical understanding and excellent Python and SQL programming skills. This position represents excellent Moniepoint Inc. employment opportunities in the region. You will work closely with cross-functional teams to translate complex data insights into robust, production-ready fraud mitigation solutions. This is an excellent career opportunity for a data-driven professional looking to make a significant impact.
- Job Title: Fraud Detection ML Scientist
- Location: Catalunya, Spain
- Employer: Moniepoint Inc.
- Key Skills: Python, SQL, Statistical Analysis, ML Model Deployment
- Responsibilities: Model development, experimentation, fraud signal identification, cross-functional collaboration
Skills
- Strong statistical background
- Proficiency in Python
- Proficiency in SQL
- Experience with ML model development
- Ability to run experiments
- Experience in evaluating and monitoring models
- Collaborative teamwork skills
Duties and Responsibilities:
- Build and deploy ML models for fraud detection
- Run experiments to assess model performance
- Surface fraud signals to protect users
- Prototype and evaluate fraud mitigation strategies
- Monitor model performance in production
- Collaborate with engineers, product managers, and analysts
- Translate findings into production-grade fraud mitigations
How to apply
- Visit the Eurojobs website to find the specific job posting for the Fraud Detection ML Scientist role.
- Locate and click on the 'Apply Now' button provided on the job advertisement page.
- Complete the online application form with your accurate personal and professional details.
- Ensure all required documents, such as your Curriculum Vitae (CV) and any relevant certifications, are prepared for submission.
- Submit your application before the closing date of 18 December 2026 to be considered for this exciting opportunity.
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