Machine Learning Engineer, Fraud Prevention Jetzt bewerben
Machine Learning Engineer, Fraud Prevention

Machine Learning Engineer, Fraud Prevention

Berlin Vollzeit 48000 - 84000 € / Jahr (geschätzt) Kein Home Office möglich
Jetzt bewerben
Vivid Money GmbH

Auf einen Blick

  • Aufgaben: Design and launch ML models to detect fraud in real-time.
  • Arbeitgeber: Vivid Money is a cutting-edge FinTech startup revolutionizing mobile banking.
  • Mitarbeitervorteile: Enjoy hybrid work options, competitive salary, stock options, and relocation support.
  • Warum dieser Job: Make a real impact in finance while working with innovative technologies and a talented team.
  • Gewünschte Qualifikationen: 3+ years in machine learning, strong Python and SQL skills, experience in fraud prevention preferred.
  • Andere Informationen: Join us in Berlin, Limassol, Almaty, or work fully remote!

Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.

Vivid Money is an innovative FinTech start-up that offers a unique mobile banking app at your fingertips. We offer our financial product to Personal and Business customers. Whether it’s payments, transfers, multi-currency accounts for your travels, spendings reports, bills splitting — with Vivid, managing all your finances and investing your money is easy, flexible, and 100% transparent.

About the team

The team plays a key role for overseeing and managing functions and processes within the Financial Crime Prevention. Our goal is to provide exceptional customer service, resolve complex issues, and ensuring proper execution of compliance policies, prevent exposure to ML/TF and fraud risks while supporting a smooth customer experience with minimal disturbance.

Responsibilities

  1. Design, develop, and launch machine learning models to identify fraudulent patterns and behaviors in real-time.
  2. Collaborate with cross-functional teams to integrate ML solutions into fraud detection systems.
  3. Monitor model performance and implement updates to improve accuracy and adaptability.
  4. Build and maintain scalable, efficient ML pipelines and infrastructure.
  5. Propose new features and ideas in order to improve top line metrics.
  6. Work with large-scale, complex datasets to extract meaningful insights and features for model training.
  7. Collaborate with stakeholders and drive end-to-end projects involving a variety of technologies and systems to successful completion.
  8. Stay up-to-date with the latest research and advancements in fraud detection and machine learning.

Minimum Requirements

  1. 3+ years proven industry experience in machine learning, data science, and statistical modeling, ideally in fraud prevention or financial services.
  2. Strong proficiency in Python, SQL, and relevant ML libraries such as TensorFlow, Scikit-learn, or PyTorch.
  3. Experience with feature engineering, model tuning, and validation techniques.
  4. Knowledge of anomaly detection, classification algorithms, and fraud detection strategies.
  5. Experience working with cloud environments (e.g., AWS, Azure).
  6. Problem-solving skills with attention to details and a proactive approach to solving complex problems.

Nice to Have:

  1. An advanced degree in a quantitative field (e.g. stats, physics, computer science)
  2. Experience in fintech or fraud prevention domain.
  3. Experience in software development field (Java/Kotlin/Golang/Python)
  4. Familiarity with real-time data processing and streaming technologies (e.g., Kafka).
  5. Understanding of regulatory and compliance considerations in fraud prevention.

Additional Information

  1. We have a Hybrid model in one of our offices (Berlin, Limassol, Almaty) or fully remote outside office locations.
  2. We support relocation (visa, package) to Cyprus.
  3. This is a senior-level position with a competitive salary and benefits package (depending on location).
  4. Real growth opportunities, lots of responsibility, and impact from day one!
  5. Participation in our Stock Options Program.

If you’re looking for an exciting new opportunity to make an impact in the world of finance, Vivid is the perfect place for you. Join our talented team of professionals and help us revolutionize how people think about their money!

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Machine Learning Engineer, Fraud Prevention Arbeitgeber: Vivid Money GmbH

Vivid Money is an exceptional employer that fosters a dynamic and innovative work culture, particularly for the Machine Learning Engineer role in Fraud Prevention. With a strong emphasis on employee growth, we offer real opportunities for advancement, competitive salaries, and a comprehensive benefits package, including participation in our Stock Options Program. Our hybrid work model allows for flexibility, whether you choose to work from one of our vibrant offices in Berlin, Limassol, or Almaty, or opt for a fully remote position, ensuring that you can thrive in an environment that values your contributions and supports your professional journey.
Vivid Money GmbH

Kontaktperson:

Vivid Money GmbH HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: Machine Learning Engineer, Fraud Prevention

Tip Number 1

Familiarize yourself with the latest trends in fraud detection and machine learning. This will not only help you understand the challenges Vivid Money faces but also allow you to propose innovative solutions during your interview.

Tip Number 2

Showcase your experience with large-scale datasets and real-time data processing. Be prepared to discuss specific projects where you've successfully implemented ML models for fraud detection, as this aligns closely with the responsibilities of the role.

Tip Number 3

Highlight your proficiency in Python and relevant ML libraries like TensorFlow or Scikit-learn. Consider preparing a small project or case study that demonstrates your skills in building and tuning machine learning models.

Tip Number 4

Network with professionals in the fintech and fraud prevention space. Engaging with industry experts can provide insights into the company culture at Vivid Money and may even lead to referrals, increasing your chances of landing the job.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Machine Learning Engineer, Fraud Prevention

Machine Learning
Data Science
Statistical Modeling
Fraud Detection
Python
SQL
TensorFlow
Scikit-learn
PyTorch
Feature Engineering
Model Tuning
Validation Techniques
Anomaly Detection
Classification Algorithms
Cloud Environments (AWS, Azure)
Problem-Solving Skills
Attention to Detail
Real-Time Data Processing
Streaming Technologies (e.g., Kafka)
Regulatory and Compliance Knowledge

Tipps für deine Bewerbung 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, data science, and fraud prevention. Use specific examples that demonstrate your proficiency in Python, SQL, and ML libraries.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for fintech and fraud prevention. Mention how your skills align with Vivid Money's mission and the specific responsibilities of the Machine Learning Engineer role.

Showcase Your Projects: Include details about any projects you've worked on that involved machine learning models, especially those related to fraud detection. Highlight your problem-solving skills and any innovative solutions you implemented.

Research Vivid Money: Familiarize yourself with Vivid Money's products and services. Understanding their approach to financial crime prevention will help you tailor your application and show your genuine interest in the company.

Wie du dich auf ein Vorstellungsgespräch bei Vivid Money GmbH vorbereitest

Showcase Your Technical Skills

Be prepared to discuss your experience with Python, SQL, and machine learning libraries like TensorFlow or Scikit-learn. Bring examples of projects where you've successfully implemented ML models, especially in fraud detection.

Understand the FinTech Landscape

Familiarize yourself with the latest trends in financial technology and fraud prevention. Being able to discuss current challenges and innovations in the industry will demonstrate your passion and knowledge.

Prepare for Problem-Solving Questions

Expect to tackle complex problem-solving scenarios during the interview. Practice explaining your thought process clearly and concisely, as this will showcase your analytical skills and attention to detail.

Highlight Collaboration Experience

Since the role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated with others. Emphasize your communication skills and ability to drive projects to completion.

Machine Learning Engineer, Fraud Prevention
Vivid Money GmbH Jetzt bewerben
Vivid Money GmbH
  • Machine Learning Engineer, Fraud Prevention

    Berlin
    Vollzeit
    48000 - 84000 € / Jahr (geschätzt)
    Jetzt bewerben

    Bewerbungsfrist: 2027-01-12

  • Vivid Money GmbH

    Vivid Money GmbH

    50 - 100
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