PGIM · 3 hours ago
Senior Data Scientist - PGIM Global Services (Hybrid - Newark, NJ)
Newark, NJ
Full-time
Hybrid
Mid, Senior Level
1+ years expPGIM is the Global Asset Management business of Prudential, dedicated to improving financial services and making a meaningful impact. The Senior Data Scientist will play a pivotal role in shaping and executing PGIM’s data-driven strategy, specifically in asset management, collaborating with cross-functional teams to develop advanced data science projects and insights.
Asset Management
Responsibilities
Drive the development, deployment, and optimization of advanced machine learning models for financial applications, ensuring scalability, accuracy, and robustness
Design and implement machine learning models, including regression, classification, clustering, time-series forecasting, natural language processing (NLP) and reinforcement learning for cross-divisional asset management mandate
Build robust feature engineering pipelines by leveraging financial data sources, transactional datasets, and alternative data
Ensure model interpretability and risk mitigation, aligning with model risk management and governance frameworks
Conduct model validation, back-testing, and performance monitoring, implementing adaptive strategies based on market conditions
Collaborate with quantitative researchers, financial analysts, and engineering teams to integrate models into real-time production environments
Optimize model efficiency, robustness, and compliance with regulatory guidelines
Qualification
Required
A minimum of a Master's degree in Statistics, Data Science, Applied Mathematics, Computer Science, or comparable quantitative disciplines
1+ years of working experience in advanced machine learning techniques, including:
Reinforcement Learning (Q-learning, deep Q-networks, policy gradient methods)
Natural Language Processing (text embeddings, topic modeling, entity recognition, transformer-based models for financial document analysis)
Hands-on experience in back-testing, and performance evaluation and monitoring of the models in asset management industry
Proficiency in Python, R, SQL, and the corresponding machine learning libraries
Experience in deploying ML models into production, optimizing for efficiency, scalability, and interpretability
Excellent documentation, communication and presentation skills, can influence without authority
Team-orient mindset and can-do attitude
Preferred
PhD is preferred
Preferably hands-on experience in developing LLM, NLP, NLU, NLG, deep learning models, and transformer models, with a focus on developing conversational AI solutions
Preferably strong knowledge of machine learning application in financial industry, but not required
Benefits
Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave.
401(k) plan with company match (up to 4%).
Company-funded pension plan.
Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs.
Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development.
Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs.
Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service.
Company
PGIM
PGIM is a money manager whose clients rely on their risk management expertise, intellectual capital, and innovative solutions. It is a sub-organization of Prudential Financial.
1001-5000 employees
H1B Sponsorship
PGIM has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (15)
2024 (12)
2023 (8)
2022 (8)
2021 (7)
2020 (14)
Funding
Current Stage
Late StageLeadership Team
Jakob Wilhelmus
Director, Thematic Research
Recent News
2025-12-16
globallegalchronicle.com
2025-11-29
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