Priyank Tailor
Data Scientist & Researcher | Credit Risk, Fraud Detection, AML/KYC | Python, Spark, SQL | Financial AI & Compliance
- Role
- Data Scientist at KPMG
- Location
- Jersey City, NJ, US
- LinkedIn followers
- 500 followers
About Priyank Tailor
I am a Data Scientist with 5+ years of experience delivering AI/ML solutions across…
Experience
Data Scientist
Jan 2024 — Present · NJ, US
KPMG is one of the Big Four professional services firms, providing audit, tax, and advisory services globally.As part of the Risk Intelligence Platform team, I design and deploy advanced ML models for fraud detection, AML/KYC compliance, and credit risk analysis in regulated financial environments. My work combines statistical rigor, scalable engineering, and explainability to meet both business and regulatory demands.Built a real-time fraud detection system with Kafka and PySpark, achieving 98.5% precision and 17% fewer false alerts.Developed Basel PD, LGD, and EAD models, improving AUC by 15% while ensuring compliance with regulatory standards.Conducted Monte Carlo stress tests for CCAR/DFAST reviews, strengthening portfolio risk oversight.Automated ML retraining with MLflow + Airflow, making the model lifecycle 35% faster.Delivered explainable dashboards (SHAP + Streamlit) for transparent decision support to compliance teams.Applied FinBERT to SEC filings and earnings calls, flagging credit risks 2–3 weeks earlier.Built a RAG-based AML/KYC Q&A engine with LangChain + pgvector, improving efficiency by 25%.
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