Job summary
Job post source
This job is directly from AllianceBernstein
Job overview
The Quantitative Portfolio Analyst at AllianceBernstein supports the Emerging Markets portfolio team by managing risk, portfolio construction, and alpha generation using quantitative and fundamental research.
Responsibilities and impact
The analyst will develop and maintain quant models, create new signals, run portfolio optimizations, monitor risks, analyze performance, and assist in marketing the investment products.
Compensation and benefits
The base salary ranges from $115,000 to $150,000 with additional compensation including commissions, incentives, and department awards, plus benefits like health insurance, wellness programs, life and disability insurance, retirement plans, and paid time off.
Experience and skills
Candidates should have 1-2+ years of experience with big data, strong statistical and mathematical skills, finance knowledge, proficiency in Python, SQL or Snowflake, and familiarity with visualization tools like PowerBI or Bloomberg.
Career development
The role offers opportunities to work closely with portfolio managers and research analysts, leveraging cutting-edge AI and machine learning techniques to enhance investment strategies, fostering professional growth in quantitative finance.
Work environment and culture
AllianceBernstein promotes an inclusive culture valuing intellectual curiosity, collaboration, and rewarding hard work in a global, diverse environment.
Company information
AllianceBernstein is a global investment management firm with over 4,000 employees in 26 countries, known for active equity, fixed income, and alternative investment strategies, combining fundamental and quantitative research.
Team overview
The analyst will join a growing Emerging Markets portfolio team collaborating with PMs, fundamental and quantitative research analysts across multiple investment disciplines.
Job location and travel
The position is based in New York, New York, with no specific mention of remote work or travel requirements.
Unique job features
The job uniquely integrates AI-driven and machine learning techniques, natural language processing, and quantamental research to improve portfolio performance and risk management.
Company overview
AllianceBernstein is a global asset management firm providing research-driven investment solutions to institutional, retail, and private clients. They generate revenue through management fees based on assets under management and performance fees. Founded in 1967, the company has a rich history of mergers and acquisitions, including the significant merger of Alliance Capital Management and Sanford C. Bernstein in 2000. AllianceBernstein is known for its deep research capabilities and commitment to delivering long-term value to its clients.
How to land this job
Position your resume to highlight experience with quantitative portfolio management, risk analysis, and alpha generation, focusing on skills relevant to emerging markets and portfolio construction.
Emphasize proficiency in Python, SQL or Snowflake, and experience with big data technologies, along with statistical and mathematical expertise, as these are key to the role.
Apply through multiple channels including AllianceBernstein's official corporate careers page and LinkedIn to maximize your application visibility and reach.
Connect with professionals in the Emerging Markets or Quantitative Research divisions at AllianceBernstein on LinkedIn; use ice breakers like commenting on recent market trends or asking about their experience integrating AI and machine learning in portfolio management.
Optimize your resume for ATS by incorporating keywords from the job description such as 'quantitative research,' 'machine learning,' 'portfolio risk management,' 'Python,' 'SQL,' and 'big data technologies' to ensure your resume passes initial screenings.
Utilize Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application portals, and find relevant LinkedIn contacts, allowing you to focus your time on preparing for interviews and networking effectively.
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