Senior Data Scientist - PGIM Global Services (Hybrid - Newark, NJ)
Senior Data Scientist - PGIM Global Services (Hybrid - Newark, NJ)
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Job Classification:
Technology - Data Analytics & ManagementAs 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 closely engages with 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
- Drive 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
- A minimum of a Masters degree inStatistics Data Science Applied Mathematics Computer Science or comparable quantitative disciplines. PhD is preferred.
- 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
- 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.
- Excellent documentation communication and presentation skills can influence without authority
- Team-orient mindset and can-do attitude
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 $1600 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 .
If you are experiencing a technical issue with your application or an assessment please email to request assistance.
Required Experience:
Exec
Employment Type
Full-Time
