Company Description:
As a leading global investment management firm, AB fosters diverse perspectives and embraces innovation to help our clients navigate the uncertainty of capital markets. Through high-quality research and diversified investment services, we serve institutions, individuals and private wealth clients in major markets worldwide. Our ambition is simple: to be our clients’ most valued asset-management partner.
With over 4,400 employees across 51 locations in 25 countries, our people are our advantage. We foster a culture of intellectual curiosity and collaboration to create an environment where everyone can thrive and do their best work. Whether you're producing thought-provoking research, identifying compelling investment opportunities, infusing new technologies into our business or providing thoughtful advice to clients, we’re looking for unique voices to help lead us forward. If you’re ready to challenge your limits and build your future, join us.
Describe the role:
Day to day responsibilities will include:
- Conduct asset allocation and manager evaluation research; conduct bespoke client portfolio analysis and work on creating bespoke portfolios for internal and external clients
- Undertake bespoke requests for data analysis;
- Build dashboards for data visualization (Python Dash)
- Handle data collation, cleansing and analysis (SQL, Python)
- Create new databases using data from different sources, and set up infrastructure for their maintenance;
- Clean and manipulate data, build models and produce automated reports using Python;
- Use statistical modelling and Machine Learning to address quantitative problems (Python)
- Conduct and deliver top notch research projects with quantitative applications to fundamental strategies.
- Leverage AI tools to perform the above tasks
Preferred Skill Sets:
- 2+ years of experience of RDBMS database design, preferably on MS SQL Server – Must haves
- 2+ years of Python development experience. Advanced skills with programming using any of Python libraries (pandas, numpy, statsmodels, dash, pypfopt, cvxpy, keras, scikit-learn) – Must haves (pandas/numpy/statsmodels)
- Candidate should be capable of manipulating large quantities of data – Must haves
- High level of attention to detail and accuracy – Must haves
- Working experience on building quantitative models; experience with factor research, portfolio construction, systematic models - Good to have
- Academic qualification in Mathematics/Physics/Statistics/Econometrics/Engineering or related field
- Understanding of company financial statements, accounting and risk analysis would be an added advantage
- Strong (English) communication skills with proven ability to interact with global clients
- Familiarity/experience in leverage AI in data handling, research and modelling process
Skills Required
- 2+ years RDBMS database design, preferably MS SQL Server
- 2+ years Python development experience
- Advanced Python libraries (pandas, numpy, statsmodels, dash, pypfopt, cvxpy, keras, scikit-learn)
- Ability to manipulate large quantities of data
- High level of attention to detail and accuracy
- Experience building quantitative models; factor research, portfolio construction, systematic models
- Academic qualification in Mathematics/Physics/Statistics/Econometrics/Engineering or related field
- Understanding of company financial statements, accounting and risk analysis
- Strong English communication skills with ability to interact with global clients
- Familiarity/experience leveraging AI in data handling, research and modelling
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.
-
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.
-
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.
-
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.
