Who You’ll Work With
AllianceBernstein’s Systematic Fixed Income team develops and manages cutting-edge, high-performance, fully systematic, factor-driven fixed-income portfolios.
What You’ll Do
We are seeking a quantitative researcher focused on systematic fixed-income and credit strategies to join our London 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.
Responsibilities include, but are not limited to:
- 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.
What We’re Looking For
The ideal candidate will have:
- 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.
- Knowledge of fixed-income securities and markets, which is preferred but not required.
- Deep desire to understand and outperform the markets.
- Data science and machine learning skills are a strong plus.
- Exposure to modern development and operations tools, such as Airflow, Kubernetes, or similar technologies, is a plus.
Prior fixed-income trading or portfolio management experience is not required.
London, UKSkills Required
- Advanced degree in Finance, Financial Engineering, Mathematics, Computer Science, Operations Research, Economics, Electrical Engineering, or related field
- Strong Python programming skills
- Deep familiarity with the Python ecosystem
- Experience working with SQL databases
- Excellent attention to detail, strong focus on quality, ability to take ownership of projects
- Knowledge of fixed-income securities and markets
- Data science and machine learning skills
- Exposure to modern development and operations tools such as Airflow or Kubernetes
AllianceBernstein Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AllianceBernstein and has not been reviewed or approved by AllianceBernstein.
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Retirement Support — Retirement programs include a 401(k) with employer match and zero-fee management, plus an employee stock purchase plan and charitable contribution matching. These features form a strong pillar of the total rewards offering.
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Leave & Time Off Breadth — Time-off offerings extend beyond standard PTO to include paid volunteer time, sabbaticals, and periodic 'refresher' vacation. These provisions support work–life balance.
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Wellbeing & Lifestyle Benefits — Workplace perks include free lunches, free snacks, subsidized meals, and company-sponsored events alongside pretax commuter programs. Wellness resources such as fitness centers, wellness groups, and EAP access add day-to-day value.
AllianceBernstein Insights
What We Do
AllianceBernstein (AB) is a leading global investment management firm that offers high-quality research and diversified investment services to institutional investors, individuals, and private wealth clients in major world markets. We are one of the largest investment management firms in the world, with more than $500 billion in assets under management. We foster a diverse, connected, collaborative culture that encourages different ways of thinking and differentiated insights. We embrace innovation to address increasingly complex investing challenges. And we pursue responsibility at all levels of the firm—from how we work and act to the solutions we design for clients.
