
Quantitative Risk Specialist
1 week ago
As a Quantitative Analyst, you will play a crucial role in assessing and managing financial risks at our organization. Our team is responsible for developing and implementing risk models to ensure the accuracy and integrity of risk-related data.
We value ethical behavior and diversity, and our development strategy is guided by three key pillars: Mutual Respect, Discipline, and Transparency.
This position offers immense exposure and learning opportunities, excellent career growth, and the chance to build things from scratch.
The successful candidate will have a good understanding of financial products, including derivatives, fixed income securities, equities, and foreign exchange, as well as experience in coding using Python.
Responsibilities:
- Develop and implement quantitative risk models (Value-at-risk, Potential Future Exposure) and methodologies to assess and manage financial risks.
- Demonstrate knowledge of financial instruments, including bonds, stocks, and currencies.
- Collaborate with the Risk Management team to enhance risk reporting frameworks.
- Perform data analysis, validation, and reconciliation to ensure accuracy and integrity of risk-related data.
- Utilize Python programming skills to build and maintain risk models, perform data analysis, and automate risk reporting processes.
- Work with IT teams to resolve technical issues.
Qualifications:
- Bachelor's degree in Finance, Economics, Mathematics, Engineering, or a related field.
- A Master's degree in a quantitative discipline is preferred.
Desirable:
- Previous experience in a bank, financial institution, or securities firm, preferably in a risk management or quantitative role.
- Some understanding of Regulations like Basel and FRTB.
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