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JPMorgan Chase Bank
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Applied AI ML VP

Applied AI ML VP

JPMorgan Chase Bank

8 - 13 years

25 - 30 Lacs

mumbai

Posted:-1 days ago| Platform:

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Skills Required

computer science cloud computing coding risk modeling investment banking asset management risk management financial services sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job summary

Company Chase Co. (NYSE JPM) is a leading global ficial services firm with operations worldwide. The firm is a leader in investment banking, ficial services for consumers and small business, commercial banking, ficial transaction processing, and asset management. A component of the Dow Jones Industrial Average, Company Chase Co. serves millions of consumers in the United States and many of the worlds most prominent corporate, institutional and government clients under its Company and Chase brands. Information about Company Chase Co. is available at Company website.

Chase Consumer Community Banking (CCB) serves consumers and small businesses with a broad range of ficial services. CCB Risk Management partners with each CCB sub-line of business to identify, assess, prioritize, and remediate risk.

CCB Risk Modeling - Applied AI ML VP

Utilize cutting-edge approaches to design and develop sophisticated machine learning models to drive impactful decisions for the business
Leverage big data/distributed computing/cloud computing platforms to optimize and accelerate model development processes
Work closely with the senior management team to develop ambitious, innovative modeling solutions and deliver them into production
Collaborate with various partners in marketing, risk, technology, model goverce, etc. throughout the entire modeling lifecycle (development, review, deployment, and use of the models)
It s an individual contributor VP role with no people management

Basic Qualifications

Ph.D. or MS degree in Mathematics, Statistics, Computer Science, Operational Research, Econometrics, Physics, or other related quantitative fields
Deep understanding of advanced machine learning algorithms (e.g., regressions, XGBoost, Deep Neural Network - CNN, RNN and Transformer, Clustering, Recommendation) as well as design and tuning procedures
Polished and clear communication

Preferred Qualifications

8+ years of experience in developing and managing predictive risk models in ficial industry
Demonstrated experience in designing, building, and deploying production quality machine learning and deep learning models. Experience in interpreting deep learning models is a plus
5+ years of experience and proficiency in coding (Python, Tensorflow or PyTorch, PySpark, SQL), familiarity with cloud services (AWS Sagemaker, Amazon EMR)
Demonstrated expertise in data wrangling and model building on a distributed Spark computation environment (with stability, scalability and efficiency). GPU experience is a plus
Strong ownership and execution, proven experience in implementing models in production

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JPMorgan Chase Bank

Financial Services

New York

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Applied AI ML VP