What are the responsibilities and job description for the Business Risk Unit Manager position at Cross River?
About the Role
We're looking for a seasoned quantitative professional to lead our Quantitative Strategies Group as the leader of Business Risk Unit. As a member of this team, you will be responsible for managing the development and implementation of mathematical models, tools, and strategies. This includes working closely with model developers and model owners to ensure all models are in compliance with regulatory requirements.
Responsibilities:
Requirements:
This role requires a strong quantitative background (PhD/Master's Degree or equivalent) in Statistics, Mathematics, Operations Research, Physics, or a quantitative science, with minimum 5 years prior experience in Model Development or Model Validation. Front office Experience is essential. Understanding of capital markets, securitizations, consumer credit products is a plus. Experience with Credit risk models in a Model Risk Management function or a Model Risk Oversight function is a definite plus.
We're looking for a seasoned quantitative professional to lead our Quantitative Strategies Group as the leader of Business Risk Unit. As a member of this team, you will be responsible for managing the development and implementation of mathematical models, tools, and strategies. This includes working closely with model developers and model owners to ensure all models are in compliance with regulatory requirements.
Responsibilities:
- Manage the development and implementation of mathematical models, tools, and strategies within the Quantitative Strategies Group (QSG).
- Work closely with model developers and model owners to ensure all models are in compliance with regulatory requirements.
- Design and execute model monitoring plans, and maintain model inventory and calendar for different compliance activities.
- Lead all communications for the Quant group and work with MRM to formulate common understanding and interpretation of regulatory guidance.
Requirements:
This role requires a strong quantitative background (PhD/Master's Degree or equivalent) in Statistics, Mathematics, Operations Research, Physics, or a quantitative science, with minimum 5 years prior experience in Model Development or Model Validation. Front office Experience is essential. Understanding of capital markets, securitizations, consumer credit products is a plus. Experience with Credit risk models in a Model Risk Management function or a Model Risk Oversight function is a definite plus.
