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Chase · 1 week ago

Applied AI/ML, VP – Global Private Bank Ops and Core Tech

880 Powder Mill Rd, Wilmington, DE, 19803, US

Full-time

Onsite

Mid Level

3+ years exp

Chase is one of the oldest financial institutions, offering innovative financial solutions to a diverse clientele. The Applied AI/ML Vice President will leverage quantitative and analytical skills to develop AI/ML solutions, collaborating with various teams to improve operational efficiencies and client experiences in global private banking.

BankingFinancial Services

Responsibilities

Engaging with stakeholders and understanding business requirements

Developing AI/ML solutions to address impactful business needs

Working with other team members to productionize end-to-end AI/ML solutions

Engaging in research and development of innovative relevant solutions

Coaching other AI/ML team members towards both personal and professional success

Collaborating with other teams across the firm to attain the mission and vision of the team and the firm

Qualification

AI/ML applicationMachine learning techniquesNatural language processingProgramming PythonProgramming RProgramming C++Data Science degreeSparkSQLCoaching skillsAnalytical skillsCollaboration skills

Required

Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research)

Experience in the application of AI/ML to a relevant field

Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised

Strong experience in natural language processing (NLP) and its applications

Solid coding level in programming languages, like Python, R, and C++, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects

Previous experience in working on Spark, Hive, and SQL

Preferred

Financial service background

PhD in one of the above disciplines with minimum 3 years of relevant experience or Master in one of the above disciplines with minimum 5 years of relevant work experience