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Machine Learning Model Validation - VP

8.00 to 9.00 Years   Bangalore   17 May, 2023
JPMorgan
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.Job responsibilities:
    • Engage in model validation activities - evaluate conceptual, reasonableness of assumptions, reliability of inputs, completeness of testing, correctness of implementation, associated with development & use of the model. Perform additional model review activities such as reviewing proposed enhancements to existing models, extensions to scope of usage for existing models or providing specific approvals.
    • Evaluate the risk posed by ML models, and suggest ways to mitigate such risks
    • Liaise with various stakeholders including: Model Developers & Users (Risk, Finance, Operations and Marketing), MRGR, Fair Lending, Technology, Control teams, Internal Audit and Bank regulators
    • Maintain model risk controls for the CCB models & serve as first point of contact, help identify and escalate issues to ensure that their resolutions are sound and timely.
    • Manage accuracy of Model inventory, ongoing model performance monitoring, model change control, and participate in discussions with regulators on model risk.
    • Keep up with the latest developments in CCB/industry in terms of modeling techniques (advanced AI/ML methodologies) products, markets, models, risk management practices and industry standards.
    • Participate and actively contribute to various process enhancement initiatives for innovations/automation.
    Required qualifications, capabilities, and skills
    • Strong quantitative & analytical skills: The role requires a strong quantitative background (PhD /Master Degree or equivalent) in Statistics, Mathematics, Operations Research, Physics, or a quantitative science, etc. Prefer candidates with knowledge of Machine Learning modeling methodologies.
    • Product domain expertise in: CCB (Consumer & Business banking, Card Services, Home Lending, Auto Finance etc.); ability to understand the business / knowledge of regulation surrounding business)
    • Experience: Preferably 8-9 years prior experience in Model Development or Model Validation in Financial institutions.
    • Strong communication skills Verbal and Written, ability to interface with stakeholders on model-related issues
    • Risk and control mindset : Ask incisive questions, assess materiality of issues and escalate as required
    Preferred qualifications, capabilities, and skills
    • Project management /organizational skills: flexible, adaptable to shifting priorities to achieve the most effective result and able to work in a collaborative environment
    • Programming Skills: Thorough knowledge of at least one programming language such as R, Python, Scala, etc.
    ,

Keyskills :
auto financeinternal auditchange controlrisk managementmachine learningbusiness bankingmodel validationmodel developmentcommercial models

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