Director (PGIM Quantitative Solutions LLC, Newark, NJ)

Experience Required

5 years of progressive, post-baccalaureate related work experience

Minimum Education Required

Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related field

Compensation

$178,402.00 - $178,402.00 / Yearly

Hours Per Week

40

Number Of Positions

1

Job Description

Director (PGIM Quantitative Solutions LLC, Newark, NJ):

Design, maintain, and enhance portfolio optimization models to support equity investment strategies. Research and model transaction costs to improve implementation efficiency and portfolio outcomes. Collaborate closely with the trading desk to analyze executions, update cost models, and improve the trading process for client portfolios. Evaluate and incorporate academic and practitioner research into portfolio construction and optimization processes. Explore and integrate non-traditional methods of portfolio attribution. Work with portfolio managers and investment professionals to translate quantitative insights into actionable strategies. Communicate complex quantitative findings clearly to both technical and non-technical stakeholders. Contribute to the continuous improvement of investment processes through innovation and empirical research.

Telecommuting permitted up to 2 days per week.

Full time employment, Monday – Friday, 40 hours per week, $178,402.00 per year. Benefits incl. medical, dental, PTO & more.

MINIMUM REQUIREMENTS:

Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related field, and 5 years of progressive, post-baccalaureate related work experience.

Alternatively, the employer will accept a Master’s degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related field, and 3 years of related work experience.

Must have 3 years of experience in each of the following:

• Python and toolkits: pandas, NumPy, amplpy, cvxpy, cvxopt, SciPy, matplotlib, seaborn, Plotly, scikit-learn, XGBoost, TensorFlow, PyTorch, NLTK, regex, Requests, BeautifulSoup, Selenium, SQLAlchemy, and PyMongo; and
• Hands-on experience working with regression, cross sectional analysis, time series modeling, optimization, text processing, multi-factor attribution using constrained regression to address collinearity of categorical factors, Brinson attribution, factor return calculations, and fundamental factor covariance matrix construction.

Must have 3 years of experience in each of the following:

• Formulating portfolio optimization problems using solver packages AMPL and CVXPY for both point-in-time optimizations and back-testing for equity portfolios;
• Managing the analysis of large datasets; and
• Multi-factor equity models.

Must have 1 year of experience in utilization of constrained regression techniques to attribute portfolio performance to economically meaningful return drivers.

To Apply: Apply online at "pru.us/4s0lVsm". Should you have any difficulty in applying for this position through our website, please contact [email protected] for assistance in the application process.

Place of Work

Hybrid

Requisition ID

R-125207

Job Type

Full Time