Associate Machine Learning - Model Risk Governance & Review (MRGR) - Consumer & Community Banking (CCB) (Mumbai) Description : Associate/ Analyst role in JPMorgan's Consumer & Community Banking (CCB) - Model Risk Governance & Review (MRGR) Group - Financial Institutions routinely use models for a broad range of activities including analyzing business strategies, identifying and measuring risks, valuing exposures or instruments, conducting stress testing, assessing capital adequacy and meeting financial or regulatory reporting requirements. Model Risk arises from the potential adverse consequences of making decisions based on incorrect or misused model outputs, leading to financial loss, poor business decision making, or reputational damage. - Model Risk Governance & Review (MRGR) is an independent risk management function charged with performing independent model validation activities, developing model risk policy & procedures, providing guidance on a model's appropriate usage in the business context, evaluating ongoing model performance testing, and ensuring that model users are aware of the model strengths and limitations. In particular the role is for the Model Risk Management in Consumer & Community Banking (CCB) space catering to wide variety of Sub-LOBs or products (Home Loans, Auto, Digital, International Consumer etc.). - In the recent years lot of models in CCB inventory have begun to use advance ML/AI techniques and this definitely provides prospective candidates steep learning path. CCB - MRGR vertical provide attractive career paths in a dynamic setting working closely with Model Developers, Users, Risk and Finance professionals, where they act as key stakeholders on day-to-day model-related risk management decisions. The group additionally provides a dynamic environment for professional development in the field of Machine Learning. - The successful candidate will be a member of the MRGR CCB-Consumer and Community Banking (CCB) Line of Business (LoB) and will focus on the following activities : - 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. Essential skills, experience, and qualifications : - 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 2-3 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 - Sound project management /organizational skills: flexible, adaptable to shifting priorities to achieve the most effective result and able to work in a fast-paced, results driven environment - Programming Skills : Thorough knowledge of at least one programming language such as R, Python, Scala, etc. JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs. 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Mumbai

JP Morgan Chase - Associate - Machine Learning/Model Risk Governance & Review - Consumer & Community Banking 

Job Description for JP Morgan Chase - Associate - Machine Learning/Model Risk Governance & Review - Consumer & Community Banking  in JP Morgan Chase in  Mumbai for (2-3) years of experience. Apply Now!