Conduct asset allocation and manager evaluation research and creating bespoke client portfolios
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.
Preferred Skill Sets:
2+ years of experience of RDBMS database design, preferably on MS SQL Server
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
High level of attention to detail and accuracy
Working experience on building quantitative models; experience with 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 would be an added advantage
Strong (English) communication skills with proven ability to interact with global clients