Job Location: Jersey City, NJ
Job Detail:
The Role
We’re looking to add a Quantitative Analyst to the Quantitative Research – Product Design team. This team’s primary purpose is to drive the strategic positioning of the firm’s investment strategies in terms of risk factor exposures, sector/asset allocation, tracking error and expected return targets. The team is also highly involved in researching new products and strategies across fixed income, equities, alternatives, and multi-asset class strategies, both domestic and global. The team’s other responsibilities include managing a derivatives book to hedge the firm’s seed capital investments, and quantitative analysis of competitor funds and peer groups. This front-office role will interface directly with leaders in client services and with portfolio managers, having a visible impact on how portfolios are invested.
We’ll Trust You To
- Carry out and present sophisticated analysis of returns, correlations, and risk characteristics for actual and simulated multi-sector portfolios.
- Design proprietary strategic allocations based on portfolio optimization, risk/return analysis, and the needs of our clients. Present your results to investments team stakeholders, client services, and directly to clients.
- Participate in the development and maintenance of the group’s proprietary infrastructure, generating daily updates for our models and analytics.
- Develop models and tools providing actionable recommendations which improve the risk-adjusted returns of our strategies.
You’ll Need To Have
- Advanced degree in a quantitative discipline (finance, economics, computer science, engineering, etc.)
- 0-4 years of experience in a quantitative research or risk management role
- Strong hands-on experience with scientific programming (e.g., python, Matlab, R) and version control (git) in a collaborative setting
- Familiarity with at least two of the following:
- Statistics and econometrics (time series methods, multivariate regression)
- Portfolio optimization (Markowitz, Black-Litterman)
- Multi-factor risk models (Fama-French, Axioma)
- Financial data providers (Bloomberg, FactSet, Morningstar)
- Fixed income analytics (effective and partial durations, option-adjusted spread, average life)
- Asset allocation modeling (expected return, maximum drawdown)
- Scientific data analysis (visualization, tidy data, joining data sets, fundamentals of SQL)
- Passion for the financial markets and investment management
- Ability to solve complex problems efficiently in a tight deadline environment
- Excellent communication and presentation skills, both spoken and written
Why Lord Abbett?
Lord Abbett is a leading asset manager serving clients worldwide. Our purpose—securing a sustainable future for our clients, our people, and our world—fuels everything we do. Inspired by our “dream big, work hard, have fun” principle, our people thrive in our vibrant culture and deliver lasting impact to our clients and communities. We are honored to have earned recognition as one of the Best Places to Work in Money Management for 2021 and 2020 by Pensions & Investments, a Best Place to Work in the Human Rights Campaign’s 2022 and 2021 Corporate Equality Index, a measure of LGBTQ workplace equality, and certified as Great Place to Work® in 2022 and 2021.
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