Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.
 

The  Model Risk and Governance Group (MRGR) is responsible for conducting model validation to help identify, measure, and mitigate Model Risk. The objective is to ensure that models are used appropriately in the business context and that model users are aware of the models' strengths and limitations and how these can impact their decisions.
MRGR carries out model validation activities and works closely with Risk, Finance and LOB professionals to review findings, on-going model risk measurement and risk mitigating strategies.

As Model Risk Management - Policy Practice and Governance - Associate in  the MRGR Policy, Practice and Governance team you will be responsible to oversees maintaining the group’s governing policies and procedures, while working on consistency, best practices, and improvements to our model risk management processes.
You will be a member of the MRGR central Governance team and will work on cross-LOB governance activities and efforts relating to model risk management and process enhancements.
 

Job responsibilities:

•    Manage multiple governance projects and tasks simultaneously and be flexible to work outside of the defined position as needed.
•    Communicate and manage project expectations to program managers, sponsors, team members and other stakeholders in a clear and concise fashion
•    Participate in process (re)engineering initiatives with the aim to achieve operational excellence
•    Update MRGR governing policy and procedure documents as needed
•    Respond to requests on audit/regulatory exams

Required qualifications, capabilities, and skills

•    Minimum 3 years experience in model risk or model development in a highly regulated environment
•    Knowledge of financial modeling (e.g., probability theory, statistics, numerical analysis) or financial products (e.g. Derivatives, loans, payments, cards…)
•    Proven ability to influence decisions in a multi stakeholder context
•    Excellent analytical and problem-solving skills
•    Excellent organizational and project management skills
•    Degree in Economics, Finance, Sciences, Engineering or Computer Science

Preferred qualifications, capabilities, and skills

•    Open to candidates with a quantitative background as well as professionals from audit, business management, consulting, risk and governance