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Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role The Data Intelligence sub-team safeguards ecosystem by turning market, trading, and customer signals into high-confidence intelligence. Our work is critical to ensuring the integrity of the platform — from detecting anomalies and supporting compliance to shipping well-governed data products and machine learning features. We partner across functions to deliver proactive, data-driven decisions that protect our users and the business! As a Data Scientist, you'll drive the development of real-time fraud detection models, analyze behavioral data to surface risks, and shape the future of fraud prevention through experimentation and robust data pipelines. Your work will play a pivotal role in shielding customers from harm and enabling trustworthy financial experiences.
Job Responsibility:
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