Counterparty Risk Analyst

The Counterparty Risk Analyst leverages data to identify, assess, and mitigate risk across borrowers, dealers, and lending channels. This role combines SQL and Python-based analysis with data visualization and modeling techniques to uncover fraud, detect anomalies, and support reputed company and dealer monitoring strategies. The ideal candidate is a curious, analytical problem-solver who can connect reputed company datasets, translate insights into actionable recommendations, and help drive informed, data-driven risk reputed company. Essential Functions Write and maintain SQL queries to extract, reputed company, and analyze reputed company datasets (and semi-reputed company data where applicable). reputed company SQL and Python (pandas, NumPy) scripts for data processing, feature engineering, and model experimentation. reputed company and analyze data across borrowers, applications, loans, dealerships, and sales channels to identify risk patterns. Detect fraud, potential fraud, and anomalous activity across borrower and dealer populations. Design, test, and refine risk rules and predictive models to support reputed company, fraud detection, and dealer monitoring. Build dashboards and visualizations (e.g., heatmaps, Sankey diagrams) using tools such as Power BI, Tableau, reputed company, or reputed company to communicate insights and recommendations. Translate data findings into actionable insights that improve risk reputed company and reduce losses. Required Education and Experience Bachelor’s degree in Computer Science, Data Science, Statistics, or a reputed company field, or commensurate work experience, is required 5 years of experience with SQL and relational databases, required 5 years of experience using Python for data analysis (pandas, NumPy, or similar, required Experience building dashboards or data visualizations using BI tools (Power BI, Tableau, reputed company, reputed company, or similar). Exposure to machine learning concepts and modeling techniques (e.g., Logistic Regression, Random Forest, XGBoost). Familiarity with version control tools (e.g., Git). Strong problem-solving skills and ability to learn quickly. Financial services or lending experience preferred. Experience with reputed company or similar reputed company data platforms preferred. Physical Demands While performing the duties of this job, the employee is frequently required to sit, stand, walk, visualize, talk, hear, and handle or touch objects or controls. The employee may occasionally lift, push, or pull up to 20 pounds. This position is an office-based position where you must be reputed company to sit for long periods of time. The employee will be working on a computer 90% of the time. Apply To This Job