Lead, Data Scientist - PGIM Global Services (Hybrid - Newark, NJ)

Job Classification:

Technology - Data Analytics & Management

As the Global Asset Management business of Prudential, we’re always looking for ways to improve financial services. We’re passionate about making a meaningful impact - touching the lives of millions and solving financial challenges in an ever-changing 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, you’ll unlock a motivating and impactful career – all while growing your skills and advancing your profession at one of the world’s leading global asset managers!

If you’re not afraid to think differently and challenge the status quo, come and be a part of a dedicated team that’s 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 leading role in shaping and executing PGIM’s data-driven strategy, specifically in asset management area. You will partner with other cross-functional teams, data engineers, financial analysts and business leaders to shape the future of PGIM’s 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 generative AI, and 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 on-site presence on a reoccurring weekly basis 3 days per week and can change based on future updates to the company’s in-office presence policy.

Responsibilities

• Lead the development and optimization of Generative AI (Gen AI) models, including LLM fine-tuning, Retrieval-Augmented Generation (RAG), and AI-driven quantitative research.
• Research and implement AI-related strategies, leveraging LLMs, NLP, and alternative data sources to drive investment decisions.
• Develop and integrate machine learning-based market models, optimizing business growth and profitability.
• Collaborate with engineering, and investment teams to deploy production-ready AI solutions for financial applications.
• Optimize AI models for efficiency, leveraging advanced techniques such as quantization, low-rank adaptation (LoRA), and knowledge distillation.
• Stay at the forefront of Gen AI innovations to enhance financial insights and drive automation in portfolio management.

Qualifications

• PhD or Master’s degree in Computer Science, Machine Learning, Engineering, Applied Mathematics, or comparable quantitative disciplines.
• 3+ years of experience in developing LLM, NLP, NLU, NLG, deep learning models, and transformer models, with a focus on developing conversational AI solutions.
• 3+ years of experience in retrieval-augmented generation (RAG), vector embeddings, and knowledge graphs.
• Hands-on experience with machine learning development and AI explainability methods, i.e. reinforcement learning, transfer learning, counterfactual analysis, model drift detection, adversarial testing, etc.,
• Preferably 3+ years of experience with model optimization techniques (e.g., distillation, quantization, model pruning).
• Preferably strong knowledge of Gen AI application in financial industry, but not required.
• Proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, and distributed computing frameworks.
• Hands-on experience integrating alternative data sources, including news analytics, satellite data, and financial reports, into AI-driven trading models.
• Excellent documentation, communication and presentation skills, can influence without authority
• Team-orient mindset and can-do attitude

*PGIM welcomes all applicants, even if you don't 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 $160,000 - $190,000. 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. 

• 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. 

Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. To find out more about our Total Rewards package, visit Work Life Balance | Prudential Careers. Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week.  

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, national origin, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law. 

If you need an accommodation to complete the application process, please email accommodations.hw@prudential.com. 

 

If you are experiencing a technical issue with your application or an assessment, please email careers.technicalsupport@prudential.com to request assistance.