Quantitative Researcher

AllianceBernstein LP•New York, NY

9h•Onsite

About The Position

AllianceBernstein’s Systematic Fixed Income team develops and manages cutting-edge, high-performance, fully systematic, factor-driven fixed-income portfolios. We are seeking a quantitative researcher focused on systematic fixed-income and credit strategies to join our New York office. The successful candidate will collaborate with colleagues across the investment process and contribute to the development, implementation, and management of systematic strategies within AllianceBernstein’s Fixed Income division.

Requirements

An advanced degree in Finance, Financial Engineering, Mathematics, Computer Science, Operations Research, Economics, Electrical Engineering, or a related field.
Strong Python programming skills and deep familiarity with the Python ecosystem.
Experience working with SQL databases.
Excellent attention to detail, a strong focus on quality, and the ability to take ownership of projects.

Nice To Haves

Knowledge of fixed-income securities and markets.
Deep desire to understand and outperform the markets.
Data science and machine learning skills.
Exposure to modern development and operations tools, such as Airflow, Kubernetes, or similar technologies.

Responsibilities

Developing and evaluating systematic investment strategies through simulations, backtesting, and strategy analysis.
Working on portfolio optimization, data science, and quantitative research problems.
Conducting factor discovery, factor return analysis, and risk attribution.
Contributing to our quantitative research environment, abAlphaLabs, a Python-based research platform.
Taking a hands-on role in the management and ongoing enhancement of systematic fixed-income strategies.