JPMorgan Part Time Associate Banker Northwest Valley Hours 

United States, Arizona, Glendale 

575460802

Job summary:

Job responsibilities:

• Collaborate with risk strategy teams and operations to understand business needs, data generating process, system capability, and potential model impact.
• Design machine learning solutions to address business needs, including explainable machine learning models and reinforcement learning models
• Manage multiple model development projects
• Collaborate with various partners in Marketing, Finance, Technology, Model Governance, Compliance, Risk, Legal, etc. throughout the entire modeling lifecycle.
• Manage model risk and related governance and controls
• Synthesize the findings at various points through the model development process to share actionable insights with senior leadership and other stakeholders
• Drive constant innovations to drive sustained improvement in collections and recovery capabilities of the firm

Required qualifications, capabilities, and skills:

• Ph.D. or MS degree in Mathematics, Statistics, Computer Science, Operational Research, Econometrics, Physics, or other related quantitative fields
• Minimal 10-year of experience in developing and managing ML or predictive risk models in financial institutions
• Hand-on experience in developing and deploying real-time transaction models with massive data from various sources, internally and externally
• Developed ML/AI models in big data platform (Hadoop and Cloud) and deployed them into real-time scoring engines, such as mainframe, cloud or distributed computing systems
• Experience in developing and deploying commercial applications for machine learning that are interpretable
• Experience in open source programming languages for large scale data analysis such as Python / Scala / Java / PySpark
• Experience with supervised and unsupervised machine learning algorithms such as XGBoost, CNN, RNN, SVM, Reinforcement Learning, Markov Process
• Minimal 3-year experience managing a sizable team of data scientists/ modelers/ machine learning engineers
• Experience in managing a team in a dynamic environment of high mobility
• Polished and clear communications with senior management
• Proven leadership in client/stakeholder/partner relationship management and high-performance team development