Modelling Consultant

Hybrid role: 1 day onsite a week to Reston, VA – Need local candidates only.

2 rounds of IV

Interviews will be setup in 1^st week of December

Team-Enterprise Risk Management

Heavy Model Management and analytical side experience is needed.

Single family forecast model, vetting process

Understand all the component models

Compare old and new models

Create a New risk matrix apart from Single and Multi family

Understanding of credit risk

Current model to leverage the new model

Financial model- cash flow

Need contribution on analytical side as well

Risk model is focused more on forecasting

Enhance current model to long term exposure to counter party risk

Prefer Python over SAS or R

Bloomberg is not mandatory

There are few working groups where these 2 will be participating.

Model vetting, Model reviewing, provide feedback on risk perspective.

Delivery of the risk review will be presented to the board.

Will work with VP and higher management.

Need familiarity with Fannie Mae and what they do.

Advance degree in Finance will work if the candidate a fresher.

Not looking for a Modeler. Quantitative Risk Analyst might fit for this role.

Someone who knows how a financial model works. Will work on the Single family forecast model

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

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 is an excellent opportunity for someone passionate about financial markets, quantitative analysis, and risk management to gain hands-on experience in a dynamic environment.

Key Responsibilities

- 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.

Qualifications

- Education: Bachelor’s 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.

Preferred Experience

- 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 and Fannie Mae business.