| Data Analyst or Credit Risk Specialist at Remote, Remote, USA |
| Email: [email protected] |
| From: praveen kumar, Largeton inc [email protected] Reply to: [email protected] Title- Data Analyst/Credit Risk Specialist Client- Fannie Mae Location- Washington, DC Hybrid Locals only Duration- 6+ Months Visa- No H1B/opt/cpt As a Analyst - Financial and IT Modeling & Analytics, you will: Play a key role in analyzing, assessing, and monitoring counterparty credit risk exposures. Job description Risk Analysis & Modeling: Assist in the development, validation, and implementation of quantitative models to measure counterparty credit risk, including exposure modeling, stress testing, and scenario analysis. Data Management: Collect, clean, and organize data related to counterparty transactions and risk exposures, working with various financial and market data sources. Exposure Monitoring: Monitor daily counterparty exposure levels, flagging potential breaches of risk limits, and providing support in risk mitigation efforts. Risk Reporting: Prepare daily, weekly, and monthly reports summarizing counterparty risk metrics, exposures, and trends for internal stakeholders and regulatory purposes. Market Analysis: Support research efforts by analyzing market trends, macroeconomic factors, and emerging risks that could impact counterparty exposures. Documentation & Compliance: Maintain documentation of models, processes, and reporting standards to ensure compliance with regulatory guidelines and internal policies. Cross-functional Collaboration: Work closely with teams across risk management, trading, and compliance to ensure a cohesive approach to risk management. The ideal candidate will have Education: Bachelors degree in Financial Engineering, Applied Mathematics, Statistics, Economics, or a related quantitative field. Technical Skills: Proficiency in programming languages such as Python, R, or MATLAB for data analysis and model development. Familiarity with SQL and databases for data extraction and management. Exposure to risk management software or platforms (e.g., Bloomberg, SAS, or Murex) is a plus. Analytical Skills: Strong quantitative and analytical abilities, with a solid understanding of statistical methods, financial markets, and derivatives. Attention to Detail: Accuracy and attention to detail are critical for ensuring data integrity and reliable risk metrics. Communication Skills: Ability to present complex risk metrics and concepts clearly to both technical and non-technical stakeholders. Keywords: rlang information technology Data Analyst or Credit Risk Specialist [email protected] |
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| Mon Nov 18 23:47:00 UTC 2024 |