Text copied to clipboard!
Title
Text copied to clipboard!Quantitative Analyst Counterparty Credit
Description
Text copied to clipboard!
We are looking for a Quantitative Analyst Counterparty Credit to join our dynamic risk management team. This role is critical in assessing and managing the credit risk posed by counterparties in trading and investment activities. The ideal candidate will have a strong background in quantitative finance, risk modeling, and data analysis, with a deep understanding of financial markets and instruments.
As a Quantitative Analyst in Counterparty Credit, you will be responsible for developing and maintaining models that assess the creditworthiness of counterparties, including banks, hedge funds, and corporations. You will work closely with credit officers, traders, and other risk professionals to ensure that the firm’s exposure to counterparty risk is accurately measured and effectively managed.
Your work will involve analyzing large datasets, building predictive models, and implementing stress testing scenarios. You will also contribute to the development of internal risk policies and support regulatory reporting requirements. A strong command of programming languages such as Python, R, or MATLAB is essential, as is experience with statistical and machine learning techniques.
This position requires excellent communication skills, as you will be expected to present your findings to senior management and collaborate with cross-functional teams. You should be comfortable working in a fast-paced environment and be able to manage multiple projects simultaneously.
If you are passionate about quantitative analysis and risk management, and you thrive in a collaborative and intellectually challenging environment, we encourage you to apply for this exciting opportunity.
Responsibilities
Text copied to clipboard!- Develop and maintain counterparty credit risk models
- Analyze financial statements and market data to assess creditworthiness
- Perform stress testing and scenario analysis
- Collaborate with traders, credit officers, and risk managers
- Support regulatory reporting and internal risk assessments
- Monitor and report on counterparty exposures
- Enhance existing risk methodologies and frameworks
- Document model assumptions, methodologies, and validation results
- Present findings and recommendations to senior management
- Stay updated on market trends and regulatory changes
Requirements
Text copied to clipboard!- Bachelor’s or Master’s degree in Finance, Mathematics, Statistics, or related field
- 3+ years of experience in quantitative risk analysis or credit risk
- Strong programming skills in Python, R, or MATLAB
- Experience with financial modeling and statistical analysis
- Knowledge of derivatives, fixed income, and other financial instruments
- Familiarity with regulatory frameworks such as Basel III
- Excellent analytical and problem-solving skills
- Strong communication and presentation abilities
- Ability to work independently and in a team environment
- Attention to detail and strong organizational skills
Potential interview questions
Text copied to clipboard!- What experience do you have with counterparty credit risk modeling?
- Which programming languages are you proficient in for data analysis?
- Can you describe a time you implemented a successful risk model?
- How do you stay current with regulatory changes in credit risk?
- What statistical techniques do you commonly use in your analysis?
- Have you worked with large financial datasets before?
- How do you validate and backtest your models?
- Describe your experience with stress testing and scenario analysis.
- What financial instruments are you most familiar with?
- How do you communicate complex risk findings to non-technical stakeholders?
