Perform asset-allocation and manager-evaluation research, bespoke portfolio and data analyses, database creation and ETL, build dashboards (Python Dash), develop quantitative models and automated reports using Python/SQL, and apply statistical modelling, ML and AI tools to support investment research and portfolio construction.
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
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