Asset Management - Newark (NJ), NJ PGIM Fixed Income - Associate, Product Analytics
About the position
The Associate in Product Analytics will play an integral part in establishing a best in class Fixed Income Product Strategy office contributing to product design, competitive analysis, and data analysis.
Develop a deep understanding of PGIM Fixed Income’s capabilities, competitive advantages, and current investment strategy line-up
Build new tools utilizing state-of-the-art data techniques to automate reports and generate new business insights
Help monitor, anticipate and assess market, client, competitor and trends to drive product strategy and identify opportunities for product innovation.
Assist with product positioning idea generation by conducting primary and secondary research and competitive analyses (e.g., product performance, market positioning, etc.)
Help define and build the business case for new product strategy initiatives through assembling fact-based arguments and developing compelling presentations to senior management.
Synthesize research and develop concise and effective presentations
Develop and maintain collaborative partnerships with teams across the organization including the product development team in PGIM Investments (retail platform), Investments, Client Advisory, Finance, Legal, Compliance, Operations, Marketing, and Sales
Who are we?
PGIM Fixed Income is a global asset manager offering active solutions across all fixed income markets. The company has offices in Newark, New Jersey, Amsterdam, London, Tokyo and Singapore. As of March 31, 2020, the firm has $868 billion of assets under management including $348 billion in institutional assets, $174 billion in retail assets, and $346 billion in proprietary assets.
PGIM Fixed Income maintains a collegial and supportive work environment that promotes and rewards individual contributions while placing equal importance on results of the larger team. Associates within PGIM Fixed Income share their insights, skills, and diverse perspectives with a talented team working toward common goals. We place high priority on maintaining a work environment that develops, motivates, rewards, and retains employees. We offer a total rewards package that includes competitive pay, performance-based incentives, long-term savings opportunities, and just as important, support for life beyond work.
Bachelor’s degree in Math, Engineering, Computer Science or Operational Research
3 years of work experience in a research/analytics function with a leading financial institution or consultant
Ability to program and analyze data in R and/or Python; strong working knowledge of Microsoft Excel
Familiarity with extracting and analyzing data from Bloomberg , eVestment, Lipper and/or Morningstar
Direct and their relevant APIs Knowledge of pooled products (UCITS, QIF, SICAV, FCP, 40 Act funds etc.), their regulations and mechanics (liquidity, pricing, strategy)
Prudential is a multinational financial services leader with operations in the United States, Asia, Europe, and Latin America. Leveraging its heritage of life insurance and asset management expertise, Prudential is focused on helping individual and institutional customers grow and protect their wealth. The company's well-known Rock symbol is an icon of strength, stability, expertise and innovation that has stood the test of time. Prudential's businesses offer a variety of products and services, including life insurance, annuities, retirement-related services, mutual funds, asset management, and real estate services.
We recognize that our strength and success are directly linked to the quality and skills of our diverse associates. We are proud to be a place where talented people who want to make a difference can grow as professionals, leaders, and as individuals. Visit www.prudential.com to learn more about our values, our history and our brand.
Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law.
Note that this posting is intended for individual applicants. Search firms or agencies should email Staffing at firstname.lastname@example.org for more information about doing business with Prudential.