Senior Data Scientist - Global Services; Hybrid - Newark, NJ

Senior Data Scientist – PGIM Global Services (Hybrid – Newark, NJ)

We’re inviting you to join PGIM as a Senior Data Scientist in our Hybrid Office in Newark, NJ. This role is a key founding member of PGIM Data Science, shaping our data‑driven strategy in asset management.

Job Classification: Technology – Data Analytics & Management

PGIM is a global asset manager dedicated to improving financial services and making a meaningful impact on millions of lives. We value talent, respect, collaboration, and innovation. At PGIM, you will unlock a motivating career and advance your profession at one of the world’s leading global asset managers.

• 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 mandates.
• 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.

• A minimum of a Master’s degree in Statistics, Data Science, Applied Mathematics, Computer Science, or comparable quantitative disciplines;
  PhD preferred.
• 1+ years of advanced machine learning experience, including reinforcement learning, natural language processing, and back‑testing in asset management.
• Hands‑on experience developing conversational AI solutions and large language models.
• Proficiency in Python, R, SQL, and the corresponding machine learning libraries.
• Experience deploying ML models into production, optimizing for efficiency, scalability, and interpretability.
• Excellent documentation, communication, and presentation skills; influence without authority.
• Team‑oriented mindset and can‑do attitude.

• Competitive base salary with annual bonus potential.
• Medical, dental, vision, life, disability insurance, and paid time off.
• 401(k) plan with company match up to 4%.
• Company‑funded pension plan.
• Wellness programs with reimbursement up to $1,600 a year.
• Work‑life resources for parenting, housing, finance, pets, legal matters, education, emotional and mental health, and career development.
• Education benefit to help finance traditional college enrollment.
• Employee Stock Purchase Plan with flexible purchase price.

Prudential Financial, Inc. of the United States is not affiliated with Prudential plc., which is headquartered in the United Kingdom.

Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law.

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