Description

You will be a Senior Data Scientist focused on building and maintaining production ML solutions in financial services.

Responsibilities

• Retrain and calibrate governed predictive models for AML compliance, fraud, and core FS use cases to improve precision/recall and reduce false positives.
• Deliver customer segmentation, anomaly detection, and forecasting solutions by applying ML expertise to ship production-ready models.
• Design, deploy, monitor, and maintain models (deep learning, tree-based, reinforcement learning, clustering, time series, causal methods, and NLP).
• Continuously monitor model performance, drift, and stability; define thresholds and trigger retraining with clear acceptance criteria.
• Partner with ML Engineering to provide L2/L3 production support, triaging incidents and performing root-cause analysis.

Required Skills

• 12+ years of relevant work experience in fintech fraud risk.
• Deep understanding of money movement products, banking, lending, and fraud detection data.
• Expertise in designing and building efficient and reusable data pipelines and framework for machine learning models.
• Proficiency in Python and SQL for writing production-quality code for DS workflows.
• Experience leveraging ML frameworks including deep learning, tree-based, reinforcement learning, clustering, time series, causal methods, and NLP.
• Familiarity with MLOps practices for model deployment and monitoring.
• Strong business problem-solving, communication, and collaboration skills.
• Ability to develop a deep statistical understanding of large, complex datasets.

Key Skills

Education

Bachelor's degree