EOS RPO
Quantitative Researcher/Data Scientist
Experience from 2 Years to 5 years
Job responsibilities will include:
Must Have:-Quantitative Developer, Python, SQL, Portfolio Analytics, Building Dashboard, Fixed Income, Index Construction, Time Series Analysis ,Machine Learning
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 leveraging AI in data handling, research, and the modelling process.