NHS Human Services, Inc.

Job Classification:
Technology - Data Analytics & Management
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 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, 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 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 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 on-site presence on a reoccurring weekly basis 3 days per week and can change based on future updates to the companys in-office 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, time-series forecasting, natural language processing (NLP) and reinforcement learningforcross-divisional 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, back-testing, and performance monitoring, implementing adaptive strategies based on market conditions.
Collaborate withquantitative researchers, financial analysts, and engineering teamsto integrate models intoreal-time 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 (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
Preferably hands-on 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
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 $170,000 to $230,000. 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...

Equal Opportunity Employer - minorities/females/veterans/individuals with disabilities