AllianceBernstein
Overview
Join to apply for the
Systematic Portfolio Manager
role at
AllianceBernstein . Who You’ll Work With
We are seeking a
Portfolio Manager / Senior Researcher
to join the
Systematic Fixed Income Team
at AllianceBernstein’s New York office. The successful candidate will collaborate with colleagues on a wide range of quantitative and practical aspects of our investment processes and systematic strategies within the Fixed Income Division. What You’ll Do
Developing and testing strategies, including simulations and performance analysis. Conducting factor research, including discovery, return analysis, and risk attribution. Solving optimization problems and addressing data science challenges. Contributing to our quantitative research platform, abAlphaLabs (Python-based). Engaging in client interactions and supporting business development efforts. Actively managing systematic fixed-income strategies with a hands-on approach. What We’re Looking For
Advanced degree in Finance, Financial Engineering, Mathematics, Computer Science, Operations Research, Economics, Electrical Engineering, or a related discipline. Strong knowledge of fixed-income securities and markets. Demonstrated experience in fixed-income trading and portfolio management. Exceptional attention to detail, with the ability to take ownership of projects and maintain a strong focus on quality. Strong Proficiency in Python and deep familiarity with the Python ecosystem. Expertise in data science and machine learning is highly desirable. Experience with Bloomberg Port is desirable. Proven experience in client engagement. Prior ETF management experience is desirable. About AB
We are a leading global investment management firm offering high-quality research and diversified investment services to institutional clients, retail investors, and private-wealth clients in major markets around the globe. With over 4,000 employees across 57 locations operating in 26 countries and jurisdictions, our ambition is simple: to be the most trusted investment firm in the world. We realize that it\'s our people who give us a competitive advantage and drive success in the market, and our goal is to create an inclusive culture that rewards hard work. Our culture of intellectual curiosity and collaboration creates an environment where you can thrive and do your best work. Whether you\'re producing thought-provoking research, identifying compelling investment opportunities, infusing new technologies into our business or providing thoughtful advice to our clients, we are fully invested in you. All are encouraged to apply. AB does not discriminate against any employee or applicant for employment on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability, marital status, citizenship status, sexual orientation, gender identity, military or veteran status or any other basis that is prohibited by applicable law. AB\'s policies and practices seek to ensure that employment opportunities are available to all employees and applicants based solely on job-related criteria.
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Join to apply for the
Systematic Portfolio Manager
role at
AllianceBernstein . Who You’ll Work With
We are seeking a
Portfolio Manager / Senior Researcher
to join the
Systematic Fixed Income Team
at AllianceBernstein’s New York office. The successful candidate will collaborate with colleagues on a wide range of quantitative and practical aspects of our investment processes and systematic strategies within the Fixed Income Division. What You’ll Do
Developing and testing strategies, including simulations and performance analysis. Conducting factor research, including discovery, return analysis, and risk attribution. Solving optimization problems and addressing data science challenges. Contributing to our quantitative research platform, abAlphaLabs (Python-based). Engaging in client interactions and supporting business development efforts. Actively managing systematic fixed-income strategies with a hands-on approach. What We’re Looking For
Advanced degree in Finance, Financial Engineering, Mathematics, Computer Science, Operations Research, Economics, Electrical Engineering, or a related discipline. Strong knowledge of fixed-income securities and markets. Demonstrated experience in fixed-income trading and portfolio management. Exceptional attention to detail, with the ability to take ownership of projects and maintain a strong focus on quality. Strong Proficiency in Python and deep familiarity with the Python ecosystem. Expertise in data science and machine learning is highly desirable. Experience with Bloomberg Port is desirable. Proven experience in client engagement. Prior ETF management experience is desirable. About AB
We are a leading global investment management firm offering high-quality research and diversified investment services to institutional clients, retail investors, and private-wealth clients in major markets around the globe. With over 4,000 employees across 57 locations operating in 26 countries and jurisdictions, our ambition is simple: to be the most trusted investment firm in the world. We realize that it\'s our people who give us a competitive advantage and drive success in the market, and our goal is to create an inclusive culture that rewards hard work. Our culture of intellectual curiosity and collaboration creates an environment where you can thrive and do your best work. Whether you\'re producing thought-provoking research, identifying compelling investment opportunities, infusing new technologies into our business or providing thoughtful advice to our clients, we are fully invested in you. All are encouraged to apply. AB does not discriminate against any employee or applicant for employment on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability, marital status, citizenship status, sexual orientation, gender identity, military or veteran status or any other basis that is prohibited by applicable law. AB\'s policies and practices seek to ensure that employment opportunities are available to all employees and applicants based solely on job-related criteria.
#J-18808-Ljbffr