At a Glance
- Tasks: Develop and evaluate systematic investment strategies using cutting-edge technology.
- Company: Join AllianceBernstein, a leader in systematic fixed income with a collaborative culture.
- Benefits: Competitive salary, professional development, and a dynamic work environment.
- Other info: Exciting opportunities for growth in a fast-paced, innovative team.
- Why this job: Make an impact in finance by leveraging data science and quantitative research.
- Qualifications: Advanced degree in relevant fields and strong Python programming skills required.
The predicted salary is between 63000 - 77000 £ per year.
Who You’ll Work With Alliance Bernstein’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 Alliance Bernstein’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, ab Alpha Labs, 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, UKSummary
AVP/Quantitative Researcher in London employer: Alliance Bernstein
At AB, we pride ourselves on being an exceptional employer, particularly for the AO/AVP - Client Relations role within our dynamic Insurance Strategy Team based in London. Our collaborative work culture fosters continuous learning and professional growth, while our commitment to client excellence ensures that every team member plays a vital role in driving our key global initiatives. With access to comprehensive training, mentorship opportunities, and a supportive environment, employees can thrive and make meaningful contributions to the insurance sector.
