Data Scientist (Fintech)

TL;DR

Data Scientist (Fintech): Developing real-time fraud detection models and analyzing behavioral data to identify risks and enhance fraud prevention. Focus on building robust data pipelines, implementing safeguards, and guiding experimentation to protect users and assets.

Location: The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations. Ljubljana, Slovenia.

Company

Robinhood's mission is to democratize finance for all.

What you will do

• Design and deploy fraud detection models to protect users and assets in real time.
• Analyze behavioral data to uncover emerging fraud vectors and support rapid incident response.
• Develop robust data pipelines and monitoring systems to ensure model accuracy and reliability.
• Partner with engineering and product teams to implement safeguards and user-facing features.
• Guide experimentation strategy and contribute to long-term fraud prevention roadmap.

Requirements

• 3+ years of experience in data science or applied ML, with a focus on fraud detection or risk mitigation.
• Advanced proficiency in Python and SQL; experience with ML frameworks like XGBoost, LightGBM, or TensorFlow.
• Strong statistical acumen with experience in anomaly detection, pattern recognition, and A/B testing.
• Excellent communication skills and ability to influence decision-making across technical and non-technical audiences.
• A collaborative mindset and proactive approach to navigating ambiguity in fast-paced environments.

Culture & Benefits

• Robinhood provides equal opportunity for all applicants and complies with applicable equal employment and privacy laws.
• Inclusion is built into how they hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best.