Compensation: Industry
Standards
Job Description:
We are seeking a highly skilled and experienced Risk Management Specialist to join our team. The
ideal candidate will have a strong background in financing and extensive knowledge of risk
management principles, with expertise in model validation, regulatory reporting, derivatives,
and market risk management. As a Risk Management Specialist, you will be responsible for
ensuring the accuracy, reliability, and effectiveness of various financial models and risk
management practices. This role requires proficiency in programming languages such as C, C++,
Python, as well as advanced knowledge of MS Excel, Matlab, and statistical modeling techniques.
Lead and execute model performance monitoring, validation, and redocumentation projects
for a diverse range of derivative products and models, ensuring adherence to model
governance and risk management principles.
Identify, quantify, and validate model risks, providing actionable recommendations for
model improvements and risk mitigation strategies.
Independently or collaboratively perform various initial and ongoing model validation
tasks, including creating approach notes and testing plans, deciding on appropriate
benchmarking methodologies, and developing challenger models for high-risk models.
Develop and implement robust testing procedures using coding frameworks such as C# and
C++, including benchmarking, limit testing, convergence analysis, risk-based PAA, and
stress testing.
Collaborate with cross-functional teams to streamline model documentation and ensure
alignment with current specifications, methodologies, and risk profiles.
Manage and mentor a team of risk professionals, setting clear goals and expectations,
providing regular feedback and coaching, and fostering collaboration and knowledge
sharing.
Skills:
Minimum of 7 years of experience in risk management, with a focus on model validation,
regulatory reporting, and derivatives.
Proficiency in programming languages such as C, C++, Python, and advanced knowledge of
MS Excel, Matlab, and statistical modeling techniques.
Strong understanding of market risk management principles, CCAR requirements, and
regulatory frameworks.
Excellent communication skills with the ability to effectively interact with clients and
cross-functional teams.
Proven leadership experience, including the ability to manage and mentor a team of
professionals.
Educational Qualification:
Bachelor's degree in financial engineering, Computer Science, Mathematics, or related
field.
Certificate in Quantitative Finance (CQF) preferred.
Read More
- Lead and execute model performance monitoring, validation, and redocumentation projects
for a diverse range of derivative products and models, ensuring adherence to model
governance and risk management principles.
- Identify, quantify, and validate model risks, providing actionable recommendations for
model improvements and risk mitigation strategies.
- Independently or collaboratively perform various initial and ongoing model validation
tasks, including creating approach notes and testing plans, deciding on appropriate
benchmarking methodologies, and developing challenger models for high-risk models.
- Develop and implement robust testing procedures using coding frameworks such as C# and
C++, including benchmarking, limit testing, convergence analysis, risk-based PAA, and
stress testing.
- Collaborate with cross-functional teams to streamline model documentation and ensure
alignment with current specifications, methodologies, and risk profiles.
- Manage and mentor a team of risk professionals, setting clear goals and expectations,
providing regular feedback and coaching, and fostering collaboration and knowledge
sharing.
- Minimum of 7 years of experience in risk management, with a focus on model validation,
regulatory reporting, and derivatives.
- Proficiency in programming languages such as C, C++, Python, and advanced knowledge of
MS Excel, Matlab, and statistical modeling techniques.
- Strong understanding of market risk management principles, CCAR requirements, and
regulatory frameworks.
- Excellent communication skills with the ability to effectively interact with clients and
cross-functional teams.
- Proven leadership experience, including the ability to manage and mentor a team of
professionals.
- Bachelor's degree in financial engineering, Computer Science, Mathematics, or related
field.
- Certificate in Quantitative Finance (CQF) preferred.
