Financial and IT Modeling Analytics
Financial and IT Modeling Analytics
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Salary Not Disclosed
1 Vacancy
Job Description
JOB TITLE: Financial and IT Modeling & Analytics 4 Resumes Needed 2 Openings
LOCATION: onsite one day a week; 1100 15th St NW Washington DC 20005
The client is only considering local candidates
DURATION: 12 Months
EXPECTED PAY: $40 Hourly Max W2 Only No C2C No H1b/OPT/CPT USC GC MUST
CLIENT : Fannie Mae
START DATE: 2 Weeks
DUE DATE: 24 48 Hours
LINKEDIN Matching to the resume is mandatory for submissions.
Job1# (12month contract)
Job2# (6month contract)
2 interviews The project will start in January
ADDITIONAL DETAILS:
- Inside enterprise risk management Counterpart Risk Department need 2 contractors to work on this initiative building a new multifamily risk model
- will work on the analytics need to understand the new model and help determine how this new model will affect their risk/exposure
- not looking for a modeler will be more focused on model usage
- Preferred skills:
02 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.
Exposure to risk management software or platforms (e.g. Bloomberg SAS or Murex) is a plus.
- Required skills:
Advanced degree in financial engineering or risk management
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.
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 handson 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.
Crossfunctional Collaboration: Work closely with teams across risk management trading and compliance to ensure a cohesive approach to risk management.
Qualifications
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 nontechnical stakeholders.
Preferred Experience
02 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.
Employment Type
Full Time
