Head of AI & Data Science
Company: Valley National Bancorp
Location: Morristown
Posted on: May 1, 2024
Job Description:
Job Overview
The Head of AI Data Science will Lead a new AI and Data Science
team, within the Data-Analytics organization, to develop and
execute the bank's AI strategy and increase the use of machine
learning to drive measurable business impact. This role will drive
the activation of Generative AI use cases and build sustainable
capabilities in predictive analytics. This is a highly visible and
collaborative position that partners closely with several functions
including technology, operations, risk management, and business
segments.
Job Description
Responsibilities include but are not limited to:
- Partner with functional teams and business segments to identify
opportunities to use predictive analytics to improve business
performance.
- Develop and execute on a strategy for the use of Generative AI
across the bank, in partnership with a cross-functional AI Working
Group.
- Build advanced analytics solutions, leveraging machine learning
techniques, to enable data-driven customer experiences across
channels, optimize marketing investments, improve risk
prediction.
- Partner with risk management and compliance teams to build a
sustainable model governance framework and processes for the use of
AI and models, in a variety of applications.
- Build and lead a team of high-performing data scientists;
develop talent to increase advanced analytics capabilities by
defining direction and applying best practices and tools across the
bank.Requirements
Required Skills:
- Expertise and prior hands-on experience in building advanced
analytics solutions, leveraging a variety of predictive analytics,
machine learning techniques and testing methodologies.
- Strong understanding of Generative AI models, potential use in
business applications, data privacy and ethical considerations
associated with use.
- Prior experience working with legal, compliance and risk
management teams, preferably in financial services and/or highly
regulated industry.
- Expertise in applying predictive models in a variety of
applications such as campaign targeting, credit risk, fraud, rate
sensitivity, customer attrition.
- Hands-on experience in data extraction and data manipulation in
cloud data environments (preferably Snowflake), using languages
such as SQL, Python, Hive.
- Proven ability to influence and partner at the senior
leadership level.
- Demonstrated ability to build and motivate high performing
teams towards extraordinary levels of excellence and
standards.
- Superior presentation and storytelling skills, customer focus
and ability to work in diverse, cross functional team
environment.
- Collaborative approach and ability to partner effectively with
business, data, and technology teams.Required Experience:
- Bachelor's degree in a quantitative discipline, such as Data
Science, Mathematics, Business Analytics, Econometrics,
Engineering, Sciences.
- Minimum of 7 years working in a data science role with hands-on
experience in developing advanced analytics solutions using a
variety of supervised and unsupervised machine learning techniques
such as decision trees, regression analysis, Random Forest,
clustering.
- Hands-on experience in data wrangling and feature engineering
to improve model performance.
- Financial Services experience and knowledge of Retail /
Commercial Banking industry, products, and data highly
desired.
- Prior experience building and/or managing a team.
- Advanced knowledge of data structures and the ability to manage
manipulate data within visualization tools.
- Demonstrated record of influencing others through consensus
building in a cross functional environment.Preferred Experience:
- Master's degree in a quantitative discipline.
Keywords: Valley National Bancorp, Newark , Head of AI & Data Science, Other , Morristown, New Jersey
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