Job ID: JOB_ID_4779
Job Summary:
We are seeking a highly skilled Senior Data Scientist with expertise in Predictive AI to join our team. This role involves retraining and calibrating predictive models for AML compliance, fraud detection, and core financial services use cases. You will leverage your hands-on Machine Learning (ML) expertise to deliver customer segmentation, anomaly detection, and forecasting solutions, deploying production-ready models in the financial services sector. A deep understanding of payment systems, money movement, banking, and lending is crucial.
Key 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 hands-on ML expertise to ship production-ready models in financial services.
- Leverage experience across credit risk and fraud to design, deploy, monitor, and maintain models (deep learning, tree-based, reinforcement learning, clustering, time series, causal methods, and NLP) with a deep understanding of payment systems, money movement, banking, and lending.
- Continuously monitor model performance, drift, and stability; define thresholds and trigger retraining with clear acceptance criteria.
- Partner with ML Engineering to provide L3 production support, triage incidents, perform root-cause analysis, and implement hotfixes within MLOps guardrails.
- Engineer features and prepare training/eval datasets with Data Engineering; contribute to the design and rollout of a reusable feature store.
- Document models, assumptions, and controls; perform structured handoffs to MLOps/ML Engineering for compliant deployment.
- Write production-quality code for DS workflows (SQL, Python); use advanced Excel for analysis/reporting; enforce testing and reproducibility.
- Demonstrate ability to quickly develop a deep statistical understanding of large, complex datasets.
- Showcase expertise in designing and building efficient and reusable data pipelines and frameworks for machine learning models.
- Exhibit strong business problem-solving, communication, and collaboration skills.
Required Experience:
- 6 – 8 Years of Experience
Required Skills:
- Database
- SQL
- Python
- DataRobot
- Snowflake
- GitHub
Nice to have:
- Actimize experience
- Basic familiarity with AML model tuning and testing processes.
Special Requirements
100% on-site from Day 1. 12 months contract duration. Actimize experience and basic familiarity with AML model tuning and testing processes are nice to have.
Compensation & Location
Salary: $120,000 – $180,000 per year (Estimated)
Location: Morristown, NJ
Recruiter / Company – Contact Information
Email: an.k@itechus.net
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