Data Scientist / Quantitative Researcher

As a leading global investment management firm, you will be part of a team that fosters diverse perspectives and embraces innovation to help clients navigate the uncertainty of capital markets. Through high-quality research and diversified investment services, you will serve institutions, individuals, and private wealth clients in major markets worldwide. The ambition is simple: to be the most valued asset-management partner for clients. **Key Responsibilities:** - Conduct asset allocation and manager evaluation research and create bespoke client portfolios - Undertake bespoke requests for data analysis - Build dashboards for data visualization using Python Dash - Handle data collation, cleansing, and analysis using SQL and Python - Create new databases using data from different sources and set up infrastructure for maintenance - Clean and manipulate data, build models, and produce automated reports using Python - Use statistical modeling and Machine Learning to address quantitative problems with Python - Conduct and deliver top-notch research projects with quantitative applications to fundamental strategies **Qualifications Required:** - 2+ years of experience in RDBMS database design, preferably on MS SQL Server - 2+ years of Python development experience with advanced skills in programming using Python libraries such as pandas, numpy, statsmodels, dash, pypfopt, cvxpy, keras, scikit-learn (Must haves: pandas/numpy/statsmodels) - Capability of manipulating large quantities of data with a high level of attention to detail and accuracy - Working experience in building quantitative models, including factor research, portfolio construction, and 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 a proven ability to interact with global clients If you are ready to challenge your limits, build your future, and be part of a culture of intellectual curiosity and collaboration, join the team at this leading global investment management firm with over 4,400 employees across 51 locations in 25 countries.,