Model Risk Governance

4 weeks ago

Mumbai, India JPMorgan Chase & Co. Full time

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.
 

As a Model Risk Governance - Quant Analytics Associate within our Risk Management and Compliance team, you will be at the heart of ensuring JPMorgan Chase remains strong and resilient. You will play a key role in designing, improving, and implementing our firmwide model risk management framework and processes. In a constantly changing regulatory and business environment, your contributions will be crucial in shaping robust and efficient processes for the identification, measurement, management, and reporting of model risk.

Model Risk Governance & Review (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 business decisions. MRGR carries out model validation activities and works closely with Risk, Finance and LOB professionals to review findings, measure model risks on an on-going basis, and assess risk mitigating strategies.

Job Responsibilities:
• Actively and creatively participate in process (re)engineering and automation initiatives with the aim to achieve operational excellence
• Effectively communicate and manage project expectations and status to program managers, sponsors, team members and other stakeholders in a clear and concise fashion
• Manage multiple governance projects and tasks simultaneously and be flexible to work outside of the defined position as needed
• Maintain and improve MRGR governing policy, standard and procedure documents
• Provide timely responses to information requests for audit/regulatory reviews

Required qualifications, capabilities, and skills . 
• Experience in model risk management or model development in a highly regulated environment
• Knowledge in financial modeling (., probability theory, statistics, numerical analysis) and/or financial products (., derivatives, loans, payments, cards)
• Proficiency in Microsoft Office for documentation, presentation, data processing and reporting
• Outstanding analytical and problem-solving skills
• Excellent organizational and project management skills
 

Preferred qualifications, capabilities, and skills
• Quantitative background ., academic degree in Mathematics, Engineering or Computer Science
• Professional experience in consulting, risk management, governance, and audit
 

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