Financial and IT Modeling Analytics Engineer

Unisys - Washington, DC

Full-time - Entry Level

Washington, DC

Professional, Scientific, and Technical Services

About the position

As a Junior Financial Engineer in the Counterparty Risk Department, you will play a key role in analyzing, assessing, and monitoring counterparty credit risk exposures. This position offers an excellent opportunity for individuals passionate about financial markets, quantitative analysis, and risk management to gain hands-on experience in a dynamic environment.

Responsibilities

• Assist in the development, validation, and implementation of quantitative models to measure counterparty credit risk, including exposure modeling, stress testing, and scenario analysis.
• Collect, clean, and organize data related to counterparty transactions and risk exposures, working with various financial and market data sources.
• Monitor daily counterparty exposure levels, flagging potential breaches of risk limits, and providing support in risk mitigation efforts.
• Prepare daily, weekly, and monthly reports summarizing counterparty risk metrics, exposures, and trends for internal stakeholders and regulatory purposes.
• Support research efforts by analyzing market trends, macroeconomic factors, and emerging risks that could impact counterparty exposures.
• Maintain documentation of models, processes, and reporting standards to ensure compliance with regulatory guidelines and internal policies.
• Work closely with teams across risk management, trading, and compliance to ensure a cohesive approach to risk management.

Requirements

• Bachelor's degree in Financial Engineering, Applied Mathematics, Statistics, Economics, or a related quantitative field.
• 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.
• Strong quantitative and analytical abilities, with a solid understanding of statistical methods, financial markets, and derivatives.
• Accuracy and attention to detail are critical for ensuring data integrity and reliable risk metrics.
• Ability to present complex risk metrics and concepts clearly to both technical and non-technical stakeholders.

Nice-to-haves

• 0-2 years of experience in financial engineering, risk management, or a related field (internships and academic projects are acceptable).
• Familiarity with counterparty credit risk.