Job Classification:

As the Global Asset Management business of Prudential were always looking for ways to improve financial services. Were passionate about making a meaningful impact touching the lives of millions and solving financial challenges in an everchanging world.

We also believe talent is key to achieving our vision and are intentional about building a culture on respect and collaboration. When you join PGIM youll unlock a motivating and impactful career all while growing your skills and advancing your profession at one of the worlds leading global asset managers!

If youre not afraid to think differently and challenge the status quo come and be a part of a dedicated team thats investing in your future by shaping tomorrow today. At PGIM You Can!

PGIM Data Science is a newly established team and you will join it as key founding member. As the Data Scientist for PGIM you play a pivotal role in shaping and executing PGIMs datadriven strategy specifically in asset management area. You will partner with other crossfunctional teams data engineers financial analysts and business leaders to shape the future of PGIMs data landscape. This role leads the development of advanced data science projects and data driven insights to significantly elevate business outcomes. You will solve meaningful business problems using advanced machine learning models.

This role is based in our office in Newark NJ. Our organization follows a hybrid work structure where employees can work remotely and/ from the office as needed based on demands of specific tasks or personal work preferences. This position is hybrid and requires your onsite presence on a reoccurring weekly basis 3 days per week and can change based on future updates to the companys inoffice presence policy.

Responsibilities

• Lead the development deployment and optimization ofadvanced machine learning modelsfor financial applications ensuring scalability accuracy and robustness.
• Design and implementmachine learning models includingregression classification clustering timeseries forecasting natural language processing (NLP) and reinforcement learningforcrossdivisional asset management mandate.
• Buildrobust feature engineering pipelinesby leveragingfinancial data sources transactional datasets and alternative data.
• Ensuremodel interpretability and risk mitigation aligning withmodel risk management and governance frameworks.
• Conductmodel validation backtesting and performance monitoring implementing adaptive strategies based on market conditions.
• Collaborate withquantitative researchers financial analysts and engineering teamsto integrate models intorealtime production environments.
• Optimizemodel efficiency robustness and compliance with regulatory guidelines.

Qualifications

• PhD or Masters inStatistics Applied Mathematics Computer Science or comparable quantitative disciplines.
• 6 years of experience in advanced machine learning techniques including:

• Reinforcement Learning (Qlearning deep Qnetworks policy gradient methods)
• Natural Language Processing(text embeddings topic modeling entity recognition transformerbased models for financial document analysis)

• Handson experience in backtesting and performance evaluation and monitoring of the models in asset management industry
• Preferably handson experience in developing LLM NLP NLU NLG deep learning models and transformer models with a focus on developing conversational AI solutions.
• Proficiency inPython R SQL and the corresponding machine learning libraries.
• Preferably strong knowledge ofmachine learning application in financial industry but not required.
• Experience indeploying ML models into production optimizing forefficiency scalability and interpretability.
• Strong drive for excellence with minimum level of guidance and supervision
• Excellent documentation communication and presentation skills can influence without authority
• Teamorient mindset and cando attitude

*PGIM welcomes all applicants even if you dont meet every requirement. If your skills align with the role we encourage you to apply.

Note: Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $170000 to $230000. Specific pricing for the role may vary within the above range based on many factors including geographic location candidate experience and skills.

What we offer you:

• Market competitive base salaries with a yearly bonus potential at every level.