Risk Management - Quant Modeling Associate at JPMorganChase · 545…

Summary: JPMorgan Chase is one of the oldest financial institutions, offering innovative financial solutions. As a Risk Management Quant Modeling Associate, you will be responsible for model validation and governance activities, ensuring models are fit for purpose and used appropriately to mitigate risks. Responsibilities: - Set standards for robust model development practices and enhance them as needed to meet evolving industry standards - Evaluate adherence to development standards including soundness of model design, reasonableness of assumptions, reliability of inputs, completeness of testing, correctness of implementation, and suitability of performance metrics - Identify weaknesses, limitations, and emerging risks through independent testing, building of benchmark models, and ongoing monitoring activities - Communicate risk assessments and findings to stakeholders, and document in high quality technical reports - Assist the firm in maintaining (i) appropriateness of ongoing model usage, and (ii) the level of aggregate model risk within risk appetite Required Qualifications: - Master's degree in a quantitative field such as Math, Physics, Engineering, Statistics, Economics or Finance is required - at least one year of experience in a quantitative or modeling role - Deep understanding of statistical/econometric models such as linear, logistics and time series models, is required - Proficiency in Python, R, or equivalent - Strong communication skills verbally and particularly in writing, with the ability to interface with other functional areas in the firm on model-related issues and write high quality technical reports Preferred Qualifications: - Prior experience in mortgage or CRE risk model development or validation is a plus - Prior experience in financial products/markets and regulatory stress testing (CCAR/ICAAP) is a plus - Knowledge in financial market is preferred - Experience with large data sets is preferred Required Skills: Statistical models, Econometric models, Linear models, Logistic models, Time series models, Python, R, Model validation, Model governance, Financial products, Regulatory stress testing, Large data sets Benefits: Commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions, Comprehensive health care coverage, On-site health and wellness centers, A retirement savings plan, Backup childcare, Tuition reimbursement, Mental health support, Financial coaching