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Vice President, Data Science Lead

2 months ago

New York, New York, United States Prudential Ins Co of America Full time

Job Classification:
Technology - Data Analytics & Management
PGIM is the global asset management business of Prudential Financial, Inc

(NYSE:

PRU), a leading global investment manager with nearly US $1.27 trillion in assets under management as of June 30th, 2023 With offices in 18 countries, PGIMs businesses offer a range of investment solutions for retail and institutional investors around the world across a broad range of asset classes, including public fixed income, private fixed income, fundamental equity, quantitative equity, real estate and alternatives.

With a history dating back 148 years, and experience through more than 30 market cycles, PGIM takes a long-term view, not only in our investment philosophy, but also in how we develop our talent.

We want to see our employees excel from their first day with the firm and throughout their tenure with PGIM.

We will inspire you, support you, and help you reach your greatest personal and professional aspirations. If PGIM sounds like the place for you, join us. For more information about PGIM, visit
Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom.
Our Commitment to Diversity, Equity, and Inclusion
Prudential Financial, Inc. is focused on creating a fully inclusive culture, where all employees feel comfortable bringing their authentic selves to work. We dont just accept differencewe celebrate it, support it, and thrive on it.

At Prudential, employees have a unique opportunity to build their career path by owning their development, their career, and their future.

We encourage employees to hone their skills and explore continued opportunities within Prudential.

As the Vice President, Data Science Lead for PGIM you play a pivotal role in shaping and executing PGIMs data-driven strategy in close collaboration with the Chief Data Office.

You will partner with other enterprise data science teams, cross-functional teams, data engineers, data analysts and business specialists to shape the future of PGIMs data landscape.

This role leads data scientists in the development of advanced analytics and data driven insights to significantly elevate business outcomes.

You will implement capabilities to solve meaningful business problems using generative AI, statistical models and machine learning techniques.


As an expert in data science and analytics, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, and an inclusive leadership attitude to all that you do.

Here is What You Can Expect on a Typical Day:

Lead the design, development, and implementation of advanced analytical solutions to complex business problems that generate measurable outcomes within PGIM.

Develop pragmatic solutions to custom business problems through effective implementation of LLMs, statistical models and machine learning.

Design, support and actively guide performing thorough statistical analysis of structured and unstructured data with the ability to bring right data techniques in an explainable manner to business teams.

Serve as a thought leader to business partners, identifying opportunities to use AI to transform processes to drive business value.

Lead strategic external partnerships to supplement internal capabilities in the execution of parts of the data science development process.

Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day.

Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies.

Develop and grow relationships with PGIM businesses as key stakeholders.

Build in-depth knowledge of business success drivers, industry trends, regulatory issues, and the competitive marketplace to develop value added business solutions.

Leverage strong oral and written communication skills to drive business transformation and data science adoption. Articulate insights, opportunities, and analytical outcomes clearly and persuasively to audiences at all levels of the organization.

Contribute to the transformation of the culture at Prudential from a product-centric to a customer-centric orientation, especially by improving the data and analytics environment overall.

Attract and nurture talent to maintain competitive advantage in fast changing data science ecosystem.
As a member of the Chief Data Office Leadership Team, contribute meaningfully to Prudentials data and AI capability, globally.

The Skills & Expertise You Bring:

Masters Degree or PhD in a quantitative discipline, including Math, Statistics, Computer Science, Economics, and Engineering, or equivalent training and professional experience.

Experience in applying generative AI, modeling/data science principles in financial industry with knowledge across multiple financial products.

Ability to lead independently with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization.

Prior experience with building/fine tuning LLMs, statistical models, analyzing unstructured data, and/or machine learning for asset management and capital markets is highly desirable.

Proven experience in leading and managing high-performing data science teams.

Expert communication skills, including the ability to translate ideas into compelling business cases, reports, and oral and written presentations to multiple levels of the organization, including senior leadership.

Proven relationship building...

Equal Opportunity Employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity